Google Drive and Telegram integration

Overview This n8n templates helps you to authomatically search Linkeding jobs. It uses AI (Gemini or OpenAPI) to match your resume with each job description and write a sample cover letter for each job and update the job google sheet. You can receive daily matched linkedin job alerts by telegram. Prerequisites AI API Key from one model like: Google Gemini OpenAI Telegram Bot Token - Create via @BotFather Google Sheets - OAuth2 credentials Google Drive - OAuth2 credentials Setup Upload your resume Upload your CV in PDF format in google drive and configure google drive node to read your resume from list of google drive files. You need to configure Google Drive OAuth2 and grant access to your drive before that. You can find useful infomration about how to configure Googel OAuth2 API key in n8n documents. Create Google sheet You need to create a google sheet document consist of two sheets, one sheet for define job filter criteria and second sheet to store job search result. You can download this Google Sheet Template and copy in your personal space. Then you can add your job filter in Google sheet. You can search job by keywords, location, remote type, job type and easy apply. You need to configure Google Sheet OAuth2 and grant access to your drive before that. Conifgure Telegram Bot You need to create a new Telegram Bot in @BotFather and insert API Key in Telegram node and you need to TELEGRAM_CHAT_ID to your telegram ID.

Social Media Content Publishing Factory for Streamlined Content Creation Across Platforms Who is this for? This workflow is designed for content creators, social media managers, and marketing teams who need to efficiently create and publish content across multiple social media platforms. It's perfect for businesses looking to maintain a consistent presence across X (Twitter), Instagram, Facebook, LinkedIn, Threads, and YouTube Shorts without spending hours crafting platform-specific content manually. What problem is this workflow solving? Creating tailored content for different social media platforms is time-consuming and requires understanding each platform's unique requirements and audience expectations. This workflow solves the challenge of: Maintaining consistent messaging across platforms while respecting platform-specific formats Generating optimized content that follows best practices for each platform Creating accompanying visuals without graphic design skills Streamlining the approval process before publishing Reducing the time spent on repetitive content creation tasks What this workflow does This automated content factory takes your content idea and transforms it into platform-optimized posts for all major social media channels. The workflow: Accepts your content idea or topic through a chat interface Leverages AI to generate tailored content for each platform (X/Twitter, Instagram, Facebook, LinkedIn, Threads, YouTube Shorts) Creates appropriate images using AI image generation Sends content for approval via email before publishing Publishes approved content to selected platforms Maintains chat memory to improve future content generation Setup Connect your social media platform credentials (X/Twitter, Instagram, Facebook, LinkedIn) Set up your email account for the approval process Configure your OpenAI API key for AI content generation Update the image generation service credentials (Pollinations.ai is used by default) Customize the system prompts and schemas in the Google Docs nodes with your brand voice and content requirements How to customize this workflow to your needs Modify the system prompts in the Google Docs nodes to match your brand voice and content strategy Adjust the social media schemas to include specific fields relevant to your content Update the approval process to include additional stakeholders if needed Add or remove social media platforms based on your marketing strategy Customize the image generation prompts to better match your visual branding Integrate with your existing content calendar or CRM systems This workflow eliminates the need to manually craft different versions of the same content for each platform, saving hours of work while ensuring your social media presence remains consistent and optimized for maximum engagement.

🤖 AI-Powered RAG Chatbot with Google Drive Integration This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI. How It Works Document Processing & Storage 📚 Retrieves documents from a specified Google Drive folder Processes and splits documents into manageable chunks Extracts metadata using AI for enhanced search capabilities Stores document vectors in Qdrant for efficient retrieval Intelligent Chat Interface 💬 Provides a conversational interface powered by Google Gemini Uses RAG to retrieve relevant context from stored documents Maintains chat history in Google Docs for reference Delivers accurate, context-aware responses Vector Store Management 🗄️ Features secure delete operations with human verification Includes Telegram notifications for important operations Maintains data integrity with proper version control Supports batch processing of documents Setup Steps Configure API Credentials: Set up Google Drive & Docs access Configure Gemini AI API Set up Qdrant vector store connection Add Telegram bot for notifications Add OpenAI Api Key to the 'Delete Qdrant Points by File ID' node Configure Document Sources: Set Google Drive folder ID Define Qdrant collection name Set up document processing parameters Test and Deploy: Verify document processing Test chat functionality Confirm vector store operations Check notification system This workflow is ideal for organizations needing to create intelligent chatbots that can access and understand large document repositories while maintaining context and providing accurate responses through RAG technology.

Social Media Spark (SMS) — Automated Viral Content Engine Automate your entire content workflow: discover viral ideas, generate posts in your tone, repurpose for X, and auto-publish — reducing 90% of manual effort. 🚀 What it Does Scrapes competitors or niche profiles on LinkedIn to find high-performing posts. Classifies and saves evergreen content ideas for later use. Generates fresh posts in your own voice with matching images. Repurposes content for X (Twitter) in a platform-optimized style. Automatically publishes content to LinkedIn and X on your schedule. Allows on-demand commands via Telegram for research or instant content generation. 🧩 Why Use It Save time:** no more manual scraping, idea collection, or formatting. Stay consistent:** maintain a daily content pipeline. Multi-platform leverage:** create once, adapt for LinkedIn and X. Creative control:** mix automation with optional human review. Scalable:** extend to more platforms, analytics, and workflows as you grow. 🔧 Prerequisites & Setup Before importing or activating the workflow, prepare these: AI Provider (OpenAI / Gemini / OpenRouter)** For classifying posts, generating new content, repurposing for X. Google Sheets** Central database for competitors, ideas, generated posts, and posting status. Google Drive** Stores generated images. Apify & Browseract** Scrapes LinkedIn profiles, posts, and performs research tasks. LinkedIn API** Needed for automated LinkedIn publishing. X (Twitter) API** Requires OAuth 1.0a for image uploads and OAuth 2.0 for text posting. Telegram Bot** Enables on-demand commands and notifications. Set your Telegram User ID in the trigger node. > 🔎 In each sub-workflow, look for nodes marked “Configure Me!” to replace example prompts, search keywords, sheet IDs, etc. ⚙️ How It Works (Simplified Flow) Scrape & Classify: Collect high-engagement posts → keep evergreen ones. Generate Content: Rewrite ideas into new posts in your voice → create images. Repurpose for X: Adapt LinkedIn posts for short-form, high-impact tweets. Auto-Publish: Post daily on LinkedIn and X. Control via Telegram: Manually trigger scraping, research, or post generation. 💡 Best Practices & Tips Keep all API keys private — never share them in public repos or screenshots. Adjust cron schedules (e.g., scraping on weekends, posting on weekdays) to fit your content rhythm. Add Human-in-the-Loop review steps for brand-sensitive content. Extend to other platforms (Instagram, TikTok, YouTube Shorts) as needed. Experiment with prompt variations for different tones or creative styles. Add analytics logging (likes, comments, clicks) to measure content performance. 🙋‍♂️ Who is This For Solo creators & founders** who want to post consistently but don’t have time for daily ideation. Small marketing teams** that need to keep up with trends without spending hours on research. Consultants & thought leaders** who want to amplify their personal brand on LinkedIn and X. Startups & bootstrapped businesses** that need a lean but reliable content engine. Content strategists** who want a data-driven, repeatable pipeline for finding and using what works. Or anyone who wants to boost social presence by 300% 💡 Why SMS Stands Out Authentic voice:** Uses your own tone and style (defined in prompts and examples), so posts feel personal — not generic AI fluff. Data-driven:** Pulls from real, viral posts in your niche to inspire fresh content. Quality over quantity:** Focuses only on proven viral ideas instead of churning random posts. Consistent growth:** Keeps your posting regular, so you stay visible and relevant. Efficient workflow:** Minimizes manual work while letting you step in when needed (e.g., for approvals or special campaigns). > ⚡ SMS combines real market data with your unique voice — so you post smarter, not just more often.

Overview This n8n workflow automates the creation and publishing of Instagram carousel posts by downloading images from Google Drive, uploading them to Cloudinary for hosting, and publishing them as a coordinated carousel post via Facebook Graph API. This workflow is perfect for social media managers and content creators who need to publish coordinated multi-image posts from cloud-stored assets with minimal manual intervention. Key Features Multi-Image Processing: Handles multiple images for carousel posts automatically Cloud Image Hosting: Uses Cloudinary for reliable image hosting and delivery Instagram API Integration: Creates and publishes carousel posts via Facebook Graph API Google Drive Integration: Downloads images directly from Google Drive links Telegram Notifications: Sends success notifications after post publication Error Handling: Continues workflow execution even if individual images fail Technical Workflow Data Preparation: Structures input data with image links and post content Batch Processing: Loops through multiple image URLs from Google Drive Image Download: Downloads each image from Google Drive Cloud Upload: Uploads images to Cloudinary for public hosting Media Creation: Creates Instagram media objects for each image ID Collection: Collects all media IDs for carousel creation Carousel Assembly: Creates carousel post with all images and caption Publication: Publishes the complete carousel to Instagram Notification: Sends Telegram confirmation message Prerequisites Facebook Graph API credentials with Instagram Business permissions Google Drive API access for image downloads Cloudinary Account for image hosting Instagram Business Account connected to Facebook Telegram Bot for notifications Input Data Structure The workflow expects data with these fields: instagram_content: Caption text for the post Instagram Account ID: Target Instagram business account pose_X_drive_fotolink: Google Drive links for carousel images Image metadata for processing Configuration Options Wait Times: 20s between carousel creation and 15s before publishing for API rate limits Image Processing: Automatic upload to Cloudinary with preset configurations Error Handling: Individual image failures won't stop the entire carousel creation Batch Processing: Processes all images simultaneously for efficiency

💥 Automate YouTube thumbnail creation from video links (with templated.io) Who is this for? This workflow is designed for content creators, YouTubers, and automation enthusiasts who want to automatically generate stunning YouTube thumbnails and streamline their publishing workflow — all within n8n. If you regularly post videos and spend hours designing thumbnails manually, this automation is built for you. What problem is this workflow solving? Creating thumbnails is time-consuming — yet crucial for video performance. This workflow completely automates that process: No more manual design. No more downloading screenshots. No more repetitive uploads. In less than 2 minutes, you can refresh your entire YouTube thumbnail library and make your channel look brand new. What this workflow does Once activated, this workflow can: ✅ Receive YouTube video links via Telegram ✅ Extract metadata (title, description, channel info) via YouTube API ✅ Generate a custom thumbnail automatically using Templated.io ✅ Upload the new thumbnail to Google Drive ✅ Log data in Google Sheets ✅ Send email and Telegram notifications when ready ✅ Create and publish AI-generated social posts on LinkedIn, Facebook, and Twitter via Blotato Bonus: You can re-create dozens of YouTube covers in minutes — saving up to 5 hours per week and around $500/month in manual design effort. Setup 1️⃣ Get a YouTube Data API v3 key from Google Cloud Console 2️⃣ Create a Templated.io account and get your API key + template ID 3️⃣ Set up a Telegram bot using @BotFather 4️⃣ Create a Google Drive folder and copy the folder ID 5️⃣ Create a Google Sheet with columns: Date, Video ID, Video URL, Title, Thumbnail Link, Status 6️⃣ Get your Blotato API key from the dashboard 7️⃣ Connect your social media accounts to Blotato 8️⃣ Fill all credentials in the Workflow Configuration node 9️⃣ Test by sending a YouTube URL to your Telegram bot How to customize this workflow Replace the Templated.io template ID with your own custom thumbnail layout Modify the OpenAI node prompts to change text tone or style Add or remove social platforms in the Blotato section Adjust the wait time (default: 5 minutes) based on template complexity Localize or translate the generated captions as needed Expected Outcome With one Telegram message, you’ll receive: A professional custom thumbnail An instant email + Telegram notification A Google Drive link with your ready-to-use design And your social networks will be automatically updated — no manual uploads. Credits Thumbnail generation powered by Templated.io Social publishing powered by Blotato Automation orchestrated via n8n 👋 Need help or want to customize this? 📩 Contact: LinkedIn 📺 YouTube: @DRFIRASS 🚀 Workshops: Mes Ateliers n8n 🎥 Watch This Tutorial 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube / 🚀 Mes Ateliers n8n

LinkedIn URL → Scrape → Match → Screen → Decide, all automated This workflow automatically processes candidate LinkedIn profiles shared via Telegram, intelligently matches them to job descriptions, performs AI-powered screening analysis, and sends actionable summaries to your team in Telegram. Good to know Handles LinkedIn profile scraping via Apify API (extracts full profile data including experience, education, skills) Built-in spam prevention: limits users to 3 LinkedIn profile submissions Two-stage JD matching: prioritizes role mentioned in candidate's Telegram message, falls back to LinkedIn profile analysis if needed Uses Google Gemini API for AI screening (generous free tier and rate limits, typically enough to avoid paying for API requests - check latest pricing at Google AI Pricing and rate limits documentation) Automatic polling mechanism checks Apify extraction status up to 10 times (15-second intervals) Complete audit trail logged in Google Sheets with unique submission IDs Who's it for Hiring teams and recruiters who want to streamline first-round screening for candidates who share LinkedIn profiles directly. Perfect for companies accepting applications via messaging platforms (Telegram, WhatsApp, etc.), especially useful fortech-savvy audiences and remote/global hiring. How it works Telegram bot receives message containing LinkedIn profile URL from candidate Validates URL format and checks spam prevention (max 3 submissions per Telegram username) Sends confirmation message to candidate and notifies internal talent team via Telegram group Extracts clean LinkedIn URL and initiates Apify scraping job Polls Apify API up to 10 times (15-second intervals) until profile extraction completes AI agent matches candidate to best-fit job description by analyzing Telegram message context first (if candidate mentioned a role), or LinkedIn profile content as fallback (selects up to 3 potential JD matches) If multiple JDs matched, second AI agent selects the single best fit based on detailed profile analysis AI recruiter agent analyzes LinkedIn profile against selected JD and generates structured screening report (strengths, weaknesses, risk/reward factors, overall fit score 0-10 with justification) Logs complete analysis to Google Sheets tracker with unique submission ID Sends formatted summary to Telegram group with candidate details, matched JD, and overall fit score Requirements Telegram Bot Token (Create bot via @BotFather) Apify account with API token (Sign up for free tier) Google Drive account (OAuth2) Google Sheets account (OAuth2) Google Gemini API key (Get free key here) Google Drive folder for Job Descriptions (as PDFs or Google Docs) Telegram group for internal talent team notifications How to set up Create Telegram bot and internal Telegram chat group with new bot: Message @BotFather on Telegram Send /newbot and follow instructions to create your bot Save the API token provided Create Telegram group chat and invite your new bot + invite the @GetIDs bot Note down the group chat ID (How to get group chat ID) Setup Apify: Sign up at Apify Get your API token from Settings Note: Free tier includes sufficient scraping credits for testing and production ($0.01 per successful LinkedIn profile enriched, a free monthly limit of $5.00) - LinkedIn profile scraper "actor" details Create Google Sheet: Create new sheet named "LinkedIn Profile AI Candidate Screening" Add columns: Submission ID, Date, LinkedIn Profile URL, First Name, Last Name, Email (if known), Telegram Username, Strengths, Weaknesses, Risk Factor, Reward Factor, JD Match, Overall Fit, Justification Copy the spreadsheet ID from URL Setup Google Drive folder: Create folder named "Job Descriptions" Upload your JD files (PDFs or Google Docs) with clear, descriptive filenames Copy the folder ID from URL Configure workflow nodes: In "Receive Telegram Msg to Recruiter Bot" node: Add Telegram API credentials In "Extract LinkedIn Profile Information" node: Replace YOUR_APIFY_API_TOKEN with your Apify token In "Check LinkedIn Profile Extraction Status" node: Replace YOUR_APIFY_API_TOKEN with your Apify token In "Get Fully Extracted LinkedIn Profile Data" node: Replace YOUR_APIFY_API_TOKEN with your Apify token In "Access JD Files" node: Update folder ID to your "Job Descriptions" folder In "Get All Rows Matching Telegram Username" node: Select your Google Sheet In "Add Candidate Analysis in GSheet" node: Select your Google Sheet and verify column mappings In "Send Msg to Internal Talent Group" node: Update chat ID to your Telegram group chat ID In "Send Review Completed Msg to Talent Group" node: Update chat ID and Google Sheet URL Add your company description: In "JD Matching Agent" system message: Replace company description with your details In "Detailed JD Matching Agent" system message: Replace company description with your details In "Recruiter Scoring Agent" system message: Update company description Test the workflow: Send a LinkedIn profile URL to your bot from Telegram Monitor execution to ensure all nodes run successfully Check Google Sheets for logged results Activate workflow Customizing this workflow Change spam limits: Edit "Spam Check: Sent <4 LinkedIn Profiles?" node to adjust maximum submissions (currently 3) Adjust polling attempts: Edit "Checked 10x for LinkedIn Profile Data?" node to change maximum polling attempts (currently 10) or modify wait time in "Wait for LinkedIn Profile" node (currently 15 seconds) Change JD matching logic: Edit "JD Matching Agent" node prompt to adjust how LinkedIn profiles are matched to roles (e.g., weight current role vs. overall experience) Modify screening criteria: Edit "Recruiter Scoring Agent" node system message to focus on specific qualities (culture fit, leadership potential, technical depth, industry experience, etc.) Add more messaging platforms: Add nodes to support WhatsApp, Discord, or other messaging platforms using similar URL-based triggers Customize Telegram messages: Edit notification nodes to change formatting, add emojis, or include additional candidate data Auto-proceed logic: Add IF node after screening to auto-proceed candidates with fit score above threshold (e.g., 8+/10) and trigger different notification paths Add candidate responses: Connect nodes to automatically message candidates back via Telegram (confirmation, rejection, interview invite) Add interview scheduling: For approved candidates, send Telegram message with Cal.com or Calendly link so they can book their interview Enrich with additional data: Add nodes to cross-reference candidate data with other sources (GitHub, Twitter/X, company websites) Multi-language support: Add translation nodes to support candidates submitting profiles in different languages Add human approval step: Create buttons in Telegram group messages for instant Approve/Reject decisions that update Google Sheets Pro tip: Add your Telegram bot to your company's careers page with instructions like: "Want fast-track screening? Share your LinkedIn profile with our AI recruiter: @YourBotName" Troubleshooting Telegram bot not responding: Ensure bot token is correct in "Receive Telegram Msg to Recruiter Bot" node, and users have sent /start to your bot at least once "LinkedIn profile URL invalid" error: Check that candidates are sending full URLs in format https://www.linkedin.com/in/username (not shortened links or text without URL) Apify extraction failing: Verify Apify API token is correctly set in all three HTTP Request nodes ("Extract LinkedIn Profile Information", "Check LinkedIn Profile Extraction Status", "Get Fully Extracted LinkedIn Profile Data") LinkedIn extraction timeout: Increase polling attempts in "Checked 10x for LinkedIn Profile Data?" node (currently 10) or increase wait time in "Wait for LinkedIn Profile" node (currently 15 seconds) Spam check blocking valid users: Check "Get All Rows Matching Telegram Username" node is pointing to correct Google Sheet, and adjust limit in "Spam Check: Sent <4 LinkedIn Profiles?" node if needed JD matching returns no results: Check "Access JD Files" node folder ID points to your Job Descriptions folder, and JD files are named clearly (e.g., "Marketing Director JD.pdf") JD matching is not relevant for my company: Update the "Company Description" in the System Messages in all three AI agent nodes ("JD Matching Agent", "Detailed JD Matching Agent", "Recruiter Scoring Agent") "Can't find matching JD": Ensure candidate's Telegram message mentions role name OR their LinkedIn profile clearly indicates relevant experience for available JDs Google Sheets errors: Verify sheet name is "LinkedIn Profile AI Candidate Screening" and column headers exactly match workflow expectations (Submission ID, Date, LinkedIn Profile URL, First Name, Last Name, etc.) Telegram group notifications not appearing: Verify chat ID is correct in "Send Msg to Internal Talent Group" and "Send Review Completed Msg to Talent Group" nodes (use negative number for group chats, e.g., -4954246611) Missing candidate data in Google Sheets: LinkedIn profile may be incomplete - verify Apify successfully extracted data by checking "Get Fully Extracted LinkedIn Profile Data" node output Loop counter not working: Check "Restore Loop Counter" code node references correct node names ("Checked 10x for LinkedIn Profile Data?" and "Initialize Loop Counter to Poll for Completion") 401/403 API errors: Re-authorize all OAuth2 credentials (Google Drive, Google Sheets) and verify Apify and Telegram API tokens are valid AI analysis quality issues: Edit system prompts in "JD Matching Agent", "Detailed JD Matching Agent", and "Recruiter Scoring Agent" nodes to refine screening criteria and provide more context about your hiring needs Gemini API rate limit errors: Check your usage at Google AI Studio and consider upgrading to paid tier if exceeding free tier limits (see rate limits documentation) Sample Outputs Google Sheets - LinkedIn AI Candidate Screening - sample Telegram messages between AI recruiter bot and job applicant Telegram messages from AI recruiter bot in internal group chat

One-way sync between Telegram, Notion, Google Drive, and Google Sheets Who is this for? This workflow is perfect for productivity-focused teams, remote workers, virtual assistants, and digital knowledge managers who receive documents, images, or notes through Telegram and want to automatically organize and store them in Notion, Google Drive, and Google Sheets—without any manual work. What problem is this workflow solving? Managing Telegram messages and media manually across different tools like Notion, Drive, and Sheets can be tedious. This workflow automates the classification and storage of incoming Telegram content, whether it’s a text note, an image, or a document. It saves time, reduces human error, and ensures that media is stored in the right place with metadata tracking. What this workflow does Triggers on a new Telegram message** using the Telegram Trigger node. Classifies the message type** using a Switch node: Text messages are appended to a Notion block. Images are converted to base64, uploaded to imgbb, and then added to Notion as toggle-image blocks. Documents are downloaded, uploaded to Google Drive, and the metadata is logged in Google Sheets. Sends a completion confirmation** back to the original Telegram chat. Setup Telegram Bot: Set up a bot and get the API token. Notion Integration: Share access to your target Notion page/block. Use the Notion API credentials and block ID where content should be appended. Google Drive & Sheets: Connect the relevant accounts. Select the destination folder and spreadsheet. imgbb API: Obtain a free API key from imgbb. Replace placeholder credential IDs and asset URLs as needed in the imported workflow. How to customize this workflow to your needs Change Storage Locations**: Update the Notion block ID or Google Drive folder ID. Switch Google Sheet to log in a different file or sheet. Add More Filters**: Use additional Switch rules to handle other Telegram message types (like videos or voice messages). Modify Response Message**: Personalize the Telegram confirmation text based on the file type or sender. Use a different image hosting service** if you don’t want to use imgbb.

This workflow creates a voice AI assistant accessible via Telegram that leverages ElevenLabs* powerful voice synthesis technology. Users can either clone their own voice or transform their voice using pre-existing voice models, all through simple voice messages sent to a Telegram bot. *ONLY FOR STARTER, CREATOR, PRO PLAN This workflow allows users to: Clone their voice by sending a voice message to a Telegram bot (creates a new voice profile on ElevenLabs) Change their voice to a cloned voice and save the output to Google Drive For Best Results Important Considerations for Best Results: For optimal voice cloning via Telegram voice messages: Recording Quality & Environment Record in a quiet room with minimal echo and background noise Use a consistent microphone position (10-15cm from mouth) Ensure clear audio without distortion or clipping Content Selection & Variety Send 1 voice messages totaling 5-10 minutes of speech Include diverse vocal sounds, tones, and natural speaking cadence Use complete sentences rather than isolated words Audio Consistency Maintain consistent volume, tone, and distance from microphone Avoid interruptions, laughter, coughs, or background voices Speak naturally without artificial effects or filters Technical Preparation Ensure Telegram isn't overly compressing audio (use HQ recording) Record all messages in the same session with same conditions Include both neutral speech and varied emotional expressions How it works Trigger The workflow starts with a Telegram trigger that listens for incoming messages (text, voice notes, or photos). Authorization check A Code node checks whether the sender’s Telegram user ID matches your predefined ID. If not, the process stops. Message routing A Switch node routes the message based on its type: Text → Not processed further in this flow. Voice message → Sent to the “Get audio” node to retrieve the audio file from Telegram. Photo → Not processed further in this flow. Two main options From the “Get audio” node, the workflow splits into two possible paths: Option 1 – Clone voice The audio file is sent to ElevenLabs via an HTTP request to create a new cloned voice. The voice ID is returned and can be saved for later use. Option 2 – Voice changer The audio is sent to ElevenLabs for speech-to-speech conversion using a pre-existing cloned voice (voice ID must be set in the node parameters). The resulting audio is saved to Google Drive. Output Cloned voice ID (for Option 1). Converted audio file uploaded to Google Drive (for Option 2). Set up steps Telegram bot setup Create a bot via BotFather and obtain the API token. Set up the Telegram Trigger node with your bot credentials. Authorization configuration In the “Sanitaze” Code node, replace XXX with your Telegram user ID to restrict access. ElevenLabs API setup Get an API key from ElevenLabs. Configure the HTTP Request nodes (“Create Cloned Voice” and “Generate cloned audio”) with: API key in the Xi-Api-Key header. Appropriate endpoint URLs (including voice ID for speech-to-speech). Google Drive setup (for Option 2) Set up Google Drive OAuth2 credentials in n8n. Specify the target folder ID in the “Upload file” node. Voice ID configuration For voice cloning: The voice name can be customized in the “Create Cloned Voice” node. For voice changing: Replace XXX in the “Generate cloned audio” node URL with your ElevenLabs voice ID. Test the workflow Activate the workflow. Send a voice note from your authorized Telegram account to trigger cloning or voice conversion. 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin.

This workflow automates the process of analyzing emails and their attachments (PDFs and images) using AI models (DeepSeek, Gemini, and OpenRouter). It extracts and summarizes the content of emails and attachments, saves the summaries to Google Sheets, and sends a final consolidated summary via Telegram. This is a powerful tool for automating email analysis and summarization, saving time and ensuring that important information is easily accessible and actionable. Below is a breakdown of the workflow: How It Works The workflow is designed to process incoming emails, analyze their content and attachments, and generate summaries. Here's how it works: Email Trigger: The workflow starts with the Email Trigger (IMAP) node, which monitors an email inbox for new emails. If an email contains attachments, the workflow processes them. Check for Attachments: The Contain Attachments? node checks if the email has attachments. If attachments are present, the workflow proceeds to process them. Process Attachments: The Get PDF and Images Attachments node extracts PDF and image attachments from the email. The Switch node separates PDFs and images for further processing: PDFs: The Extract from PDF node extracts text from PDFs, and the PDF Analyzer node summarizes the content. Images: The Analyze Image node uses AI to describe the content of images. Summarize Email Content: The Convert Text node converts the email's HTML content to plain text. The Email Summarization Chain node uses AI to generate a summary of the email's text content. Save Summaries: The Save Summary PDF, Save Summary Image, and Save Summary Text nodes save the summaries of PDFs, images, and email text, respectively, to Google Sheets. Consolidate Summaries: The All Summaries node aggregates the summaries of the email text, PDFs, and images. The Create Final Summary node uses AI to generate a unified summary of all the content. Send Final Summary: The Send Final Summary node sends the consolidated summary via Telegram to a specified chat ID. Set Up Steps To set up and use this workflow in n8n, follow these steps: IMAP Configuration: Set up IMAP credentials in n8n for the Email Trigger (IMAP) node. Ensure the email account is accessible via IMAP. AI Model Configuration: Configure the DeepSeek, Gemini, and OpenRouter credentials in n8n for the Email Summarization Chain, PDF Analyzer, and Create Final Summary nodes. Ensure the AI models are set up to generate summaries. Google Sheets Integration: Set up Google Sheets credentials in n8n for the Save Summary PDF, Save Summary Image, and Save Summary Text nodes. Specify the Google Sheet and worksheet where the summaries will be saved. Telegram Integration: Set up Telegram credentials in n8n for the Send Final Summary node. Insert your Chat ID in the Telegram node to receive the final summary. Test the Workflow: Send an email with attachments (PDFs and images) to the monitored email account. The workflow will: Extract and summarize the email content and attachments. Save the summaries to Google Sheets. Send a consolidated summary via Telegram. Optional Customization: replace IMAP trigger with Gmail or Outlook trigger Modify the workflow to include additional features, such as: Adding more AI models for different types of analysis. Sending notifications via other channels (e.g., Slack, email). Integrating with other storage services (e.g., Dropbox, AWS S3). Need help customizing? Contact me for consulting and support or add me on Linkedin.

This template monitors Google Drive folder for new files, extracts text from PDFs, images, text files, CSVs, and Google Docs., reads images with meta/llama-3.2-11b-vision-instruct, structures the result with nvidia/llama-3.3-nemotron-super-49b-v1.5, logs everything to Google Sheets, and sends a Telegram notification when processing finishes. ✨ What This Template Does Watches a specific Google Drive folder for new files with Google Drive Trigger. 📂 Downloads each new file with Google Drive before processing. ⬇️ Routes PDFs, images, text files, CSVs, and Google Docs through the correct extraction branch. 🔀 Extracts image text with meta/llama-3.2-11b-vision-instruct 🖼️ Structures extracted content into JSON fields with nvidia/llama-3.3-nemotron-super-49b-v1.5 through NVIDIA NIM. 🤖 Appends the final result to Google Sheets in Extract_Log. 📊 Sends a Telegram notification when processing is complete. 📬 Key Benefits Turns a Drive folder into a reusable intake point for mixed file types. ⏱️ Creates a searchable audit trail in Google Sheets for every processed file. 📚 Sends a lightweight Telegram notification without requiring Telegram as the input channel. ✅ Keeps the extraction and structuring logic reusable for internal ops or client delivery workflows. 🔁 Makes it easier to test multimodal document processing with free-tier NVIDIA NIM models. 💡 Features Google Drive Trigger configured for new files in a specific folder. 📥 Google Drive download step for binary file access before extraction. ⚙️ File-type routing with Switch and normalization with Code nodes. 🧠 Native n8n Extract from File nodes for PDF, TXT, and CSV parsing. 📄 NVIDIA NIM HTTP Request nodes for image OCR and structured JSON generation. 🤖 Google Sheets append logging with a fixed Extract_Log tab schema. 📈 Plain-text Telegram completion notifications with a fixed destination chat ID. 📨 Requirements n8n instance with access to Google Drive Trigger, Google Drive, Google Docs, Google Sheets, HTTP Request, Telegram, and Extract from File nodes. 🧰 Google Drive OAuth2 credential with access to the watched folder. 🔐 Google Docs OAuth2 credential with access to any Google Docs files you want to process. 📘 Google Sheets OAuth2 credential and a sheet with an Extract_Log tab. 📊 Telegram bot credential plus a valid destination chat ID for notifications. 🤝 NVIDIA NIM API key stored as an HTTP Header Auth credential. 🔑 A folder ID and Google Sheet ID added to the provided placeholders before activation. 🛠️ Target Audience Operations teams monitoring a shared Drive folder for inbound files. 🗂️ Founders and solo operators who want document extraction. 👤 Agencies building reusable back-office workflows for receipts, notes, and uploaded files. 🏢 Analysts who want structured text output logged into Google Sheets automatically. 📋 Automation builders testing file-driven multimodal extraction with Drive as the source. 🧪 Step-by-Step Setup Instructions Import the workflow and read every sticky note on the canvas before editing any nodes. 📝 Connect your Google Drive, Google Docs, Google Sheets, Telegram, and NVIDIA NIM credentials. 🔐 Replace REPLACE_WITH_GOOGLE_DRIVE_FOLDER_ID, REPLACE_WITH_GOOGLE_SHEET_ID, and REPLACE_WITH_TELEGRAM_CHAT_ID in the marked nodes. 📌 Create the Extract_Log tab with the required headers shown in the sticky notes. 📑 Test one file at a time in this order: PDF, TXT, CSV, image, then Google Docs file. 🧪 Confirm that each test adds one clean row to Google Sheets and sends one Telegram notification. ✅ Activate the workflow only after every supported path works end to end. 🚀 Built by Cordexa Technologies https://cordexa.tech | [email protected]

Who is this for? Creators, designers, and developers exploring AI-powered image generation. Automation enthusiasts who want to integrate image creation into n8n workflows. Telegram bot builders looking to add visual AI capabilities. Marketers or freelancers automating creative content workflows. What problem is this workflow solving? Creating AI images usually requires multiple tools and manual setup. This workflow removes the complexity by: Connecting Nano Banana (AI image model) directly to n8n. Allowing image generation via Telegram chatbot. Providing a no-code setup that is fully automated and scalable. What this workflow does This workflow demonstrates how to generate AI images using Nano Banana and n8n, with an integrated Telegram chatbot interface. The process includes: Connecting Gemini Nano Banana to n8n. Automating image generation requests triggered from Telegram. Returning AI-generated images back to the user. Allowing customization of prompts and styles dynamically. By the end, you’ll have a fully functional automation to generate and send AI-created images through Telegram — no coding required. Setup Create accounts: Sign up on n8n.io and ensure you have Telegram Bot API access. Connect your Nano Banana or Gemini API endpoint. Set up your Telegram Bot: Use BotFather to create a new bot and get the token. Add the “Telegram Trigger” node in n8n. Configure Nano Banana connection: Add an HTTP Request node for Nano Banana API. Insert your API key and prompt parameters. Handle responses: Parse the AI-generated image output. Send the image file back to the Telegram user. Test and Deploy: Run a sample image prompt. Verify that Telegram returns the correct generated image. How to customize this workflow to your needs Modify prompts or styles to fit different artistic use cases. Add conditional logic for image size, aspect ratio, or filters. Integrate with Google Drive or Notion for image storage. Schedule automatic image generation for campaigns or content creation. Expand with OpenAI or Stability AI for hybrid workflows. Notes Nano Banana API may have rate limits depending on usage. Ensure your Telegram bot has permission to send files and images. You can host this workflow on n8n Cloud or self-hosted setups. Want A Video Tutorial on How to Setup This Automation:  https://youtu.be/0s6ZdU1fjc4

🧠 Automated Resume & Cover Letter Generator This project is an automation workflow that generates a personalized resume and cover letter for each job listing. 🚀 Features Automated Resume Crafting Generates an HTML resume from your data. Hosts it live on GitHub Pages. Converts it to PDF using Gotenberg and saves it to Google Drive. Automated Cover Letter Generation Uses an LLM to create a tailored cover letter for each job listing. Simple Input Database Agent Stores your experience in an n8n Data Table with the following fields: role, summary, task, skills, tools, industry. The main agent pulls this data using RAG (Retrieval-Augmented Generation) to personalize the outputs. One-Time GitHub Setup Initializes a blank GitHub repository to host HTML files online, allowing Gotenberg to access and convert them. 🧩 Tech Stack Gotenberg** – Converts HTML to PDF GitHub Pages** – Hosts live HTML files n8n** – Handles data tables and workflow automation LLM (OpenAI / Cohere / etc.)** – Generates cover letters Google Drive** – Stores the final PDFs ⚙️ Installation & Setup Create a GitHub Repository This repo will host your HTML resume through GitHub Pages. Set the Webhook URL In the notify-n8n.yml file, replace: role | summary | task | skills | tools | industry Create the n8n Data Table Add the following columns: role | summary | task | skills | tools | industry Create a Google Spreadsheet Add these columns: company | cover_letter | resume Install Gotenberg Follow the installation instructions on the Gotenberg GitHub repository: https://github.com/thecodingmachine/gotenberg Customize the HTML Template Modify the HTML resume to your liking. You can use an LLM to locate and edit specific sections. Add Authentication and Link Your GitHub Repo Ensure your workflow has permission to push updates to your GitHub Pages branch. Run the Workflow Once everything is connected, trigger the workflow to automatically generate and save personalized resumes and cover letters. 📝 How to Use Copy and paste the job listing description into the Telegram bot. Wait for the "Done" notification before submitting another job. Do not use the bot again until the notification appears. The process usually takes a few minutes to complete. ✅ Notes This workflow is designed to save time and personalize your job applications efficiently. By combining n8n automation, LLMs, and open-source tools like Gotenberg, you can maintain full control over your data while generating high-quality resumes and cover letters for every job opportunity.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automates the distribution and scheduling of video content across multiple social platforms (TikTok, YouTube, Facebook, Instagram, Threads) through Postiz. Videos are collected from Google Drive, approved manually, and scheduled via the Postiz community node. 🧾 Requirements Google Drive** account with access to the folder that will watch for new items uploaded. videos in mp4 format ready to be shared or, alternatively you can connect a community node from Cloud Convert to convert the format before uploading into Postiz. Postiz account with integrations for TikTok, YouTube, Facebook, Instagram, and Threads 🔗 Useful Links Postiz Docs Postiz Community Node 🔄 Workflow Steps Trigger: Google Drive File Added Watches your selected Google Drive folder for new file uploads. Download File Downloads the detected video from Drive. Upload to Postiz Video is uploaded to Postiz to prepare for social scheduling. Set Fields Manual setting of social options Extract Datetime (AI) Uses OpenAI to find/predict intended publish date & time, as the datetime format is required to schedule on Postiz Get Social Integrations Fetches a list of user’s connected platforms from Postiz. Split and Filter Integrations Splits the process per platform (TikTok, YouTube, Facebook, Instagram, Threads). Schedule Post For each enabled platform, schedules the video with chosen options. 🙋‍♂️ Need Help? Connect with 1 Node

Automate Audio Transcription, AI Summarization, and Google Drive Storage Who is this for? Content Teams, Researchers, and Administrators who need to automatically process voice memos, meeting recordings, or interview audio into structured, searchable documents. What problem does this solve? Eliminates manual transcription work by automatically converting audio files into organized text documents with AI analysis, while maintaining human oversight through approval workflows. What this workflow does Smart Audio Processing: Triggers when new .m4a files appear in Google Drive Uses OpenAI's Whisper for accurate transcription Implements dual-format reporting (JSON + Markdown) Human Oversight (optional): Requires email approval before processing 45-minute response window with escalation options AI-Powered Analysis: Generates structured JSON reports with: Key points & action items Sentiment analysis Technical terminology glossary Creates Markdown versions for easy reading Document Management: Stores raw transcripts + reports in Google Drive Automatic file naming with timestamps Sends completion alerts via Email/Telegram Workflow visualization showing audio file processing path Setup Credentials Needed: Google Drive API access OpenAI API key (GPT-4o-mini) Gmail & Telegram integrations Configuration: Set your Google Drive folder ID in 3 nodes Update email addresses in Gmail nodes Customize approval timeout in "Gmail User for Approval" Customization Points: File extension filters (.m4a) AI report templates and prompts Notification channels (Email/Telegram) How to customize Approval Process**: Add SMS/Teams notifications via additional nodes File Types**: Modify filter node for .mp3/.wav support Analysis Depth**: Adjust GPT-4 prompts in "Summarize to JSON" nodes Storage**: Connect to Notion/Airtable instead of Google Drive

Automatically extract job listings from any website URL, format them with AI, and publish directly to WordPress. Just send a URL via Telegram, and watch as the workflow scrapes the job details, enhances the content with GPT, and creates a polished post on your site. 💡 Why Use Job Repost? ⏰ Save countless hours Automatically extract, process, and publish job offers from any website, freeing your time from repetitive tasks. ✅ Eliminate human errors Say goodbye to typos and missed fields — every job post is validated before going live. 📈 Boost engagement Fresh, well-structured job listings attract more candidates, improving your site's reach and authority. 🚀 Stay ahead Leveraging AI with GPT means your content is not just automated but polished and SEO-friendly — the digital assistant you never knew you needed. ⚡ Perfect For Job board managers:** Want to aggregate listings from multiple sources with minimal effort Recruiters & HR teams:** Who need to streamline job posting workflows without technical hassles Content creators & marketers:** Looking to automate publishing while maintaining style and SEO standards 🔧 How It Works | Step | Process | Description | |------|---------|-------------| | 📱 | Trigger | Send a job URL via Telegram bot to initiate the process | | 🔥 | Extract | Firecrawl API scrapes and extracts clean content from the provided URL | | 📎 | Process | Job data is extracted via AI, text split and cleaned, job categories and types mapped to your system | | 🤖 | Smart Logic | GPT crafts formatted job posts, intelligent validation ensures all key data is present, default values fill in the blanks if necessary | | 💌 | Output | Posts automatically published to WordPress with company logos uploaded, and success or error notifications sent via Telegram | | 🗂 | Storage | Uses Supabase vector store for managing document embeddings, ensuring quick lookup and reference compliance | 🔐 Quick Setup Import the provided JSON file into your n8n instances Add credentials: Firecrawl API key Google Drive OAuth2 (for RAG storage) OpenAI API WordPress API Telegram API Supabase Customize: Telegram bot token WordPress URLs Default images and category mappings if needed Update: URLs and API tokens where placeholders are used Test: Send a job URL to your Telegram bot to verify accurate extraction and posting 🧩 You'll Need ✅ Active n8n instances ✅ Firecrawl account with API access ✅ Google Drive account for RAG document storage ✅ OpenAI account with GPT API access ✅ WordPress site with autojob plugin and API enabled ✅ Telegram bot for URL submission and notifications ✅ Supabase account for vector store management 🛠️ Level Up Ideas 🌍 Add multi-language support to expand global reach 🔗 Support batch URL processing for multiple jobs at once 💬 Integrate Slack or email notifications for wider team alerts 🎯 Use more AI nodes to summarize or rate job offers for quality control 🔄 Schedule periodic cleanup of vector store for performance optimization 📊 Add analytics tracking for published jobs performance 🧠 Nodes Used Core Components: Firecrawl HTTP Request** (Web scraping and content extraction) Google Drive** (RAG document storage) Supabase Vector Store** OpenAI** (Embeddings, GPT Extraction) Code Nodes** for mapping categories Telegram Trigger & Message** HTTP Request** (for WordPress API and image uploads) Made by: Khaisa Studio Tags: automation recruitment job-posting wordpress AI web-scraping firecrawl Category: Human Resources, Recruitment, Wordpress, Scrapping Need a custom? contact me on LinkedIn or Web

Description This workflow automates document processing using LlamaParse to extract and analyze text from various file formats. It intelligently processes documents, extracts structured data, and delivers actionable insights through multiple channels. How It Works Document Ingestion & Processing 📄 Monitors Gmail for incoming attachments or accepts documents via webhook Validates file formats against supported LlamaParse extensions Uploads documents to LlamaParse for advanced text extraction Stores original documents in Google Drive for reference Intelligent Document Analysis 🧠 Automatically classifies document types (invoices, reports, etc.) Extracts structured data using customized AI prompts Generates comprehensive document summaries with key insights Converts unstructured text into organized JSON data Invoice Processing Automation 💼 Extracts critical invoice details (dates, amounts, line items) Organizes financial data into structured formats Calculates tax breakdowns, subtotals, and payment information Maintains detailed records for accounting purposes Multi-Channel Delivery 📱 Saves extracted data to Google Sheets for tracking and analysis Sends concise summaries via Telegram for immediate review Creates searchable document archives in Google Drive Updates spreadsheets with structured financial information Setup Steps Configure API Credentials 🔑 Set up LlamaParse API connection Configure Gmail OAuth for email monitoring Set up Google Drive and Sheets integrations Add Telegram bot credentials for notifications Customize AI Processing ⚙️ Adjust document classification parameters Modify extraction templates for specific document types Fine-tune summary generation prompts Customize invoice data extraction schema Test and Deploy 🚀 Test with sample documents of various formats Verify data extraction accuracy Confirm notification delivery Monitor processing pipeline performance

Social Media Foto Creation Bot with Approval Loop Create & Share AI Photos with Telegram, Gemini & Post to Facebook, Instagram & X Description This n8n workflow turns your Telegram messenger into a complete AI Photo Content Pipeline. You send your photo idea as a text or voice message to a Telegram bot, collaborate with an AI to refine the prompt and social media caption, let Gemini generate the image, and then automatically publish it after your approval to Facebook, Instagram, and X (Twitter) – including status tracking and Telegram confirmations. What You Need to Get Started This workflow connects several external services. You will need the following credentials: Telegram Bot API Key** Create a bot via BotFather and copy the bot token. This is used by the Listen for incoming events and other Telegram nodes. OpenAI API Key** Required for Speech to Text (OpenAI Whisper) to transcribe voice notes. Used by the AI Agent model (OpenAI Chat Model) for prompt creation. Google Gemini API Key** Used by the Generate an image node (model: models/gemini-2.5-flash-image) to create the AI image. Google Drive & Sheets Access** The generated image is temporarily stored in a Google Drive folder (Upload image1) and later retrieved by Blotato. Prompts and post texts are logged to Google Sheets (Save Prompt & Post-Text) for tracking. Blotato API Key** The layer for social media publishing. Uploads the image as a media asset (Upload media1) and creates posts for Facebook, Instagram, and X. How the Workflow Operates – Step by Step Input & Initial Processing (Telegram + Voice Handling) This phase receives your messages and prepares the input for the AI. | Node Name | Role in Workflow | | :--- | :--- | | Listen for incoming events | Telegram Trigger node that starts the workflow on any incoming message. | | Voice or Text | Set node that structures the incoming message into a unified text field. | | A Voice? | IF node that checks if the message is a voice note. | | Get Voice File | If voice is detected, this downloads the audio file from Telegram. | | Speech to Text | Uses OpenAI Whisper to convert the voice note into a text transcript. | The output of this stage is always a clean text string containing your image idea. AI Core & Refinement Loop (Prompt + Caption via AI) Here, the AI drafts the image prompt (for Gemini) and the social media caption (for all platforms) and enters an approval loop with you. | Node Name | Role in Workflow | | :--- | :--- | | AI Agent | Central logic agent. Creates a videoPrompt (used for image generation) and socialMediaText based on your idea, and asks for feedback. | | OpenAI Chat Model | The LLM backing the agent (e.g., GPT-4.1-mini). | | Window Buffer Memory | Stores recent turns, allowing the agent to maintain context during revisions. | | Send questions or proposal to user | Sends the AI's suggestion for review back to you. | | Approved from user? | IF node that checks if the output is the approved JSON (meaning you replied with "ok" or "approved"). | | Parse AI Output | Code node that extracts the videoPrompt and socialMediaText fields from the agent’s final JSON output. | Content Generation & Final Approval Once the prompt and caption are set, the image is created and sent to you for final approval before publishing. | Node Name | Role in Workflow | | :--- | :--- | | Inform user about processing | Telegram node to confirm: "Okay. Your image is being prepared now..." | | Save Prompt & Post-Text | Google Sheets node that logs the videoPrompt and socialMediaText. | | Generate an image | Gemini node that creates the image based on the videoPrompt. | | Send a photo message | Sends the generated image to Telegram for review. | | Send message and wait for response | Telegram node that waits for your response to the image (e.g., "Good?" / "Approve"). | | Upload image1 | Temporarily saves the generated image to Google Drive. | | Download image from Drive | Downloads the image back from Drive. | | If1 | IF node that checks if the image was approved in the previous step (approved == true). | Upload & Publishing (Blotato) After final approval, the image is uploaded to Blotato, and post submissions for the social media platforms are created. | Node Name | Role in Workflow | | :--- | :--- | | Upload media1 | Blotato Media node. Uploads the approved image as a media asset and returns a public url. | | Create instagram Post | Creates an Instagram post using the media URL and socialMediaText. | | Create x post | Creates an X (Twitter) post using the media URL and socialMediaText. | | Create FB post | Creates a Facebook post using the media URL and socialMediaText. | Status Monitoring & Retry Loops (X, Facebook, Instagram) An independent loop runs for each platform, polling Blotato until the post is either published or failed. | Node Name | Role in Workflow | | :--- | :--- | | Wait, Wait1, Wait2 | Initial pauses after post creation. | | Check Post Status, Get post1, Check Post Status1 | Blotato Get operations to fetch the current status of the post. | | Published to X?, Published to Facebook?, Published to Instagram? | IF nodes checking for the "published" status. | | Confirm publishing to X, Confirm publishing to Facebook, Confirm publishing to Instagram | Telegram nodes that notify you of successful publication (often including the post link). | | In Progress?, In Progress?1, In Progress?2 | IF nodes that check for "in-progress" status and loop back to the Wait nodes (Give Blotat other 5s). | | Send X Error Message, Send Facebook Error Message, Send Instagram Error Message | Telegram nodes that notify you if a failure occurs. | 🛠️ Personalizing Your Content Bot The workflow is highly adaptable to your personal brand and platform preferences: Tweak the AI Prompt & Behavior: Where: In the AI Agent node, within the System Message. Options: Change the tone (casual, professional, humorous) and the level of detail required for the prompt generation or the social media captions. Change Gemini Model or Image Options: Where: In the Generate an image node. Options: Swap the model or adjust image options like Aspect Ratio or Style based on Gemini's API capabilities. Modify Which Platforms You Post To: Where: In the Blotato nodes: Create instagram Post, Create x post, Create FB post. Options: Disable or delete branches for unused platforms, or add new platforms supported by Blotato.

How it works This template helps project managers collect task updates and photo reports from field workers via Telegram and stores everything in a Google Sheet. It enables daily project reporting without paper or back-office overhead. High-level flow: Workers receive daily tasks via Telegram They respond with photo reports Bot auto-saves replies (photos + status) to a Google Sheet The system tracks task completion, adds timestamps, and maintains report history Set up steps 🕒 Estimated setup time: 15–30 min You’ll need: A Telegram bot (via BotFather) A connected Google Sheet (with specific column headers) A set of preconfigured tasks 👉 Detailed setup instructions and required table structure are documented in sticky notes inside the workflow. Consulting and Training We work with leading construction, engineering, consulting agencies and technology firms around the world to help them implement open data principles, automate CAD/BIM processing and build robust ETL pipelines. If you would like to test this solution with your own data, or are interested in adapting the workflow to real project tasks, feel free to contact us. Docs & Issues: Full Readme on GitHub

This Workflow simulates an AI-powered phone agent with RetellAI with two main functions: 📅 Appointment Booking – It can schedule appointments directly into Google Calendar. 🧠 RAG-based Information Retrieval – It provides answers using a Retrieval-Augmented Generation (RAG) system. For example, it can respond to questions such as store opening hours, return policies, or product details. The guide also explains how to purchase a dedicated phone number (with a +1 prefix) and link it to the AI agent. This setup is cost-effective, as it uses a FREE $10 credit to operate without additional charges in the beginning. ✨ Advantages 🕐 24/7 Availability** – The AI agent can answer calls and assist customers at any time. 🤖 Automation** – It reduces the workload on human staff by handling repetitive tasks like appointment scheduling and FAQ responses. 🔌 Easy Integration** – Built with n8n, it’s flexible and customizable for various platforms and tools. 💸 Low-cost Setup** – Using the free credit, businesses can get started without an upfront investment. 📦 Use Cases 🛍 E-commerce** – Answer common product questions or order inquiries. 🏬 Retail Stores** – Provide store hours, address info, and return policies. 🍽 Restaurants** – Take reservations or share menu information. 💼 Service Providers** – Book appointments or consultations. 📞 Any Local Business** – Offer phone support without needing a live operator. How It Works This Workflow simulates an AI-powered phone agent with two primary functions: Appointment Booking The workflow captures call events (e.g., call_ended or call_analyzed) and extracts key details (transcript, caller info, duration, etc.). Using OpenAI, it summarizes the conversation and parses structured data (e.g., names, contact info, dates). For scheduling, it converts user-provided dates into Google Calendar-compatible formats and creates events automatically. RAG-Based Information Retrieval When a query is received (e.g., store hours, product details), the workflow retrieves relevant information from a Qdrant vector store. An AI agent processes the query using the retrieved data and responds via a webhook, ensuring accurate, context-aware answers. Set Up Steps Prepare Qdrant Vector Store Create/refresh a Qdrant collection (via HTTP requests). Upload and vectorize documents (e.g., from Google Drive) using OpenAI embeddings. Configure RetellAI Agent Sign up for RetellAI, create an agent, and set the webhook URLs (n8n_call for call events, n8n_rag_function for RAG queries). Purchase a Twilio phone number and link it to the agent. n8n Workflow Setup Connect OpenAI, Qdrant, Google Calendar, and Telegram nodes with credentials. Customize prompts for summarization, date parsing, and RAG responses. Test the workflow to ensure data flows from call events → processing → actions (e.g., calendar bookings, Telegram alerts). Deploy Trigger the workflow via RetellAI webhooks during calls. Monitor outputs (e.g., call summaries in Telegram, calendar events). Note: Replace placeholders (e.g., QDRANTURL, COLLECTION, CHAT_ID) with actual values. 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin.

Video Generation with Telegram Bot and Gemini API – Auto-Post to TikTok, Instagram & Facebook This n8n workflow turns your Telegram messenger into a full video content pipeline: you send a text or voice idea to a Telegram bot, collaborate with an AI on the script and caption, let Gemini generate the video, and then automatically publish it to TikTok, Instagram and Facebook – all with status tracking and Telegram confirmations. What You Need to Get Started This workflow connects several external services. You’ll need: Telegram Bot API Key** Create a bot via Telegram’s BotFather and copy the bot token. This is used by the Listen for incoming events and other Telegram nodes. OpenAI API Key** Required for: Speech to Text (OpenAI Whisper) – to transcribe voice notes. The OpenAI Chat Model used inside the AI Agent. Google Gemini / Vertex (via n8n Gemini Node)** Used by the Generate a video node (model: veo-3.0-fast-generate-001) to create the video. Google Drive** The generated video is temporarily stored in a Google Drive folder via Upload video and later downloaded again for uploading to Blotato. Blotato API Key* Social media publishing layer: Uploads the video as media. Creates posts for TikTok, Instagram and Facebook. Exposes a status endpoint the workflow uses for polling. Google Sheets Access** (optional but included) Used by Save Prompt & Post-Text to log your prompts and captions. Once these credentials are configured in n8n, the workflow runs end-to-end from Telegram idea to multi-platform publishing. How the Workflow Operates – Step by Step Input & Initial Processing (Telegram + Voice Handling) This phase listens to your messages and normalizes them into a single text input for the AI. | Node Name | Role in Workflow | | ------------------------------ | ------------------------------------------------------------------------------------------------------- | | Listen for incoming events | Telegram Trigger node that starts the workflow whenever your bot receives a message (text or voice). | | Voice or Text | Set node that structures the incoming payload and prepares a unified text field for downstream nodes. | | A Voice? | IF node that checks whether the incoming message is a voice note or plain text. | | Get Voice File | If voice is detected, this Telegram node downloads the audio file from Telegram. | | Speech to Text | Uses OpenAI Whisper to convert the voice note into a text transcript. | If you send text**: The workflow skips the voice download/transcription and goes directly to the AI agent with your original text. If you send a voice note**: The workflow downloads the file, runs it through Whisper in Speech to Text, and passes the resulting transcript onward. The output of this stage is always a clean text string representing your idea. AI Core & Approval Loop (Script + Caption via AI) Here the AI designs the video prompt (for Gemini) and the social media caption (for all platforms), then iterates with you until you approve. | Node Name | Role in Workflow | | -------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | AI Agent | Central logic agent. Takes your idea text and applies the system prompt to create a video prompt and social media caption. Handles revisions based on your feedback. | | OpenAI Chat Model | The LLM backing the agent (OpenAI Chat model). | | Window Buffer Memory | Memory buffer that stores recent turns, so the agent can keep context across your “make it shorter / more fun / more technical” requests. | | Send questions or proposal to user | Telegram node that sends the AI’s suggested prompt + caption back to you for review. | | Approved from user? | IF node that checks whether the agent’s output is the “approved” JSON (meaning you said “ok” / “approved”) or just a normal suggestion. | Video Prompt Assistant System Prompt (Internal Instructions) The AI Agent is configured with a system message like: > You are a video prompt assistant for Telegram. > > 1. Analyze the user’s message and create a video prompt. > 2. Create relevant social media text with hashtags. > 3. Present both to the user and ask for feedback. > 4. If the user requests changes, refine and present again. > 5. Only when the user says “approved” or “ok”, output a final JSON: > { "videoPrompt": "...", "socialMediaText": "..." } Key behavior: Before approval**: The agent always responds with human-readable suggestions (prompt + caption) and a follow-up question asking what to change. After approval**: The agent returns only JSON (no Markdown, no explanation) with: videoPrompt – to be sent to Gemini. socialMediaText – to be used as a caption on all platforms. JSON Parsing | Node Name | Role in Workflow | | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Parse AI Output | Code node that extracts videoPrompt and socialMediaText from the agent’s output. It is tolerant of different formats (e.g. JSON wrapped in markdown) and throws errors if required fields are missing. | If the AI output is approved JSON, this node returns two clean fields: videoPrompt socialMediaText These are used in all subsequent steps. User Feedback & Logging Right after parsing the final JSON, the workflow informs you and logs the content. | Node Name | Role in Workflow | | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Inform user about processing | Telegram node that tells you: “Okay. Your video is being prepared now. I’ll let you know as soon as it’s online.” | | Save Prompt & Post-Text | Google Sheets node that appends a new row containing the videoPrompt and socialMediaText to a sheet (e.g., for tracking which prompts/captions you used). | This gives you both visibility (confirmation message) and historical tracking of your content ideas. Video Generation with Gemini Now the actual video is created using Google Gemini’s video model. | Node Name | Role in Workflow | | -------------------- | -------------------------------------------------------------------------------------------------------------------------------- | | Generate a video | Gemini node (model models/veo-3.0-fast-generate-001) that uses videoPrompt to generate a vertical video (aspect ratio 9:16). | The videoPrompt from the AI agent is passed directly into this node. The resulting binary output is a generated short-form video suitable for TikTok, Reels and Stories. Staging the Video in Google Drive To make the video accessible for Blotato, the workflow uses Google Drive as a simple file staging area. | Node Name | Role in Workflow | | ------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Upload video | Uploads the generated video binary to a specific folder in Google Drive (n8n_videos). The file name is taken from the binary metadata or defaults to video.mp4. | | Download Video from Drive1 | Immediately downloads the uploaded video by file ID, this time as binary data suitable for passing into [Blotato]. | Using Drive ensures that the file is properly hosted and addressable when uploading to [Blotato]’s media API. Uploading to [Blotato]and Creating Posts First, the video is sent to [Blotato] as a media asset. Then three separate posts are created for TikTok, Instagram, and Facebook. Media Upload | Node Name | Role in Workflow | | ----------------- | ------------------------------------------------------------------------------------------------------------------------- | | Upload media1 | [Blotato] media node. Uploads the binary video as a media asset and returns a public url used by all post creation nodes. | Platform-Specific Post Creation From the uploaded media, the workflow fans out into three branches: | Node Name | Platform | Role in Workflow | | ------------------------ | ------------- | --------------------------------------------------------------------------------------------------------------------------------------------- | | Create TikTok post | TikTok | Creates a TikTok post using the media URL and socialMediaText as the caption. Also sets the flag that the video is AI-generated. | | Create post1 | Instagram | Creates an Instagram (or related) post linked to the [Blotato] account (e.g., aimaginate_xx), using the same socialMediaText and media URL. | | Create Facebook post | Facebook Page | Creates a Facebook post on your specified page, again using the shared caption and media URL. | At this point, all three platforms have an initial “post submission” created via [Blotato]. Next, the workflow tracks their publishing status. Status Monitoring & Retry Loops Each platform has its own mini-loop that polls [Blotato]) until the post is either published or failed. TikTok Status Loop | Node Name | Role in Workflow | | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ | | Wait | Initial 5-second (or configured) pause after creating the TikTok post. | | Check Post Status | Blotato “get” operation that fetches the current status (published, in-progress, etc.) of the TikTok post by postSubmissionId. | | Published to TikTok? | IF node that checks if status === "published". | | Confirm publishing to Tiktok | Telegram node that notifies you when the TikTok post is live (often including a link or at least a confirmation text). | | In Progress? | IF node that checks if status === "in-progress". | | Give Blotat other 5s :) | Wait node that sleeps a bit before checking again. Feeds back into Published to TikTok? to create a polling loop. | | Send TikTok Error Message | Telegram node that informs you if the status is neither published nor in progress (i.e., a failure). | Instagram Status Loop | Node Name | Role in Workflow | | ----------------------------------- | ------------------------------------------------------------------------------------ | | Wait1 | Wait node after Create post1, giving Blotato time to process the Instagram post. | | Get post1 | Blotato “get” operation to read status of the Instagram post. | | Published to Instagram? | IF node checking if status === "published". | | Confirm publishing to Instagram | Telegram message with confirmation that your Instagram post is live. | | In Progress?1 | IF node checking if status === "in-progress". | | Give Blotat more time | Wait node that loops back to Published to Instagram? for another status check. | | Send Instagram Error Message | Telegram notification if the Instagram post fails. | Facebook Status Loop | Node Name | Role in Workflow | | ---------------------------------- | -------------------------------------------------------------------------------- | | Wait2 | Wait node after Create Facebook post (longer pause, e.g. 30 seconds). | | Get Facebook post | Blotato “get” operation to fetch Facebook post status. | | Published to Facebook? | IF node testing for status === "published". | | Confirm publishing to Facebook | Telegram notification that the Facebook post is online. | | In Progress?2 | IF node checking if the Facebook post is still in progress. | | Give Blotat other 5s :)2 | Wait node that loops back into Published to Facebook? for repeated checks. | | Send Facebook Error Message | Telegram notification if the Facebook post fails or ends in an unexpected state. | This structure ensures that each platform is monitored independently, with clear success or error messages delivered right into your Telegram chat. 🛠️ Personalizing Your Video Content Bot The real power of this workflow is how easy it is to adapt it to your own style, platforms, and preferences. Tweak the AI Prompt & Behavior Where:* Inside the AI Agent node, in the *System Message (systemMessage) of the options. What you can change:** The tone (funny, educational, corporate, storytelling, etc.). The level of detail in the video prompt (camera moves, style, characters, environment). The caption structure (hook, value, CTA, hashtag strategy). Whether the agent should produce multiple variants or just one. You can also extend it, e.g.: Ask for multi-slide carousel prompts instead of a single video. Force language (e.g., always English, always German). Add platform-specific hints (e.g., stronger hooks for TikTok). Change Video Model or Aspect Ratio Where:* Generate a video* node. Options:** Swap the model (within the Gemini node) if you want higher quality or different behavior. Adjust the aspectRatio from 9:16 to 16:9 or 1:1 depending on your target platform. Modify Which Platforms You Post To Where:** Blotato nodes: Create TikTok post Create post1 (Instagram) Create Facebook post You can: Disable or delete branches for platforms you don’t use. Add new accounts or platforms supported by Blotato. Use different captions per platform (e.g. shorter for TikTok, more detailed for Facebook) by adding extra AI formatting steps. Adjust Wait Times and Retry Logic Where:** Wait and IF nodes: Wait, Wait1, Wait2, Give Blotat other 5s :), Give Blotat more time, Give Blotat other 5s :)2 What:** Increase or decrease retry intervals. Limit the number of loops (e.g. by adding a counter) if needed. Customize error messages in the Telegram nodes. Extend Logging & Analytics Where:* Save Prompt & Post-Text* (Google Sheets). Ideas:** Add more columns (timestamp, platform flags, target audience, campaign name). Write back publish status and final URLs after success. Use this sheet as a content inventory or analytics base. In short, this workflow gives you a full AI-powered video pipeline: Idea (text/voice) via Telegram Drafting & approval of video prompt + caption via OpenAI agent Video generation with Gemini (veo) Staging in Google Drive Auto-posting and status monitoring across TikTok, Instagram & Facebook via Blotato All communication and confirmations returned directly to Telegram And everything is fully editable so you can adapt it precisely to your personal brand and content strategy.

The Ultimate Beginner's Guide to an AI-Powered Telegram Assistant (PDF, Brave search & Google Suite) This comprehensive workflow bundle is designed as a powerful starter kit, enabling you to build a multi-functional AI assistant on Telegram. It seamlessly integrates AI-powered voice interactions, an intelligent PDF document search using a Retrieval-Augmented Generation (RAG) system, and automates various Google Suite tasks like calendar management and document generation. Perfect for beginners looking to explore advanced AI and automation capabilities. Disclaimer This template is designed for self-hosted n8n instances. 🚀 Key Features Telegram Bot Interface:** Interact with your AI assistant using both text and voice commands through Telegram. AI Voice Bot:** Transcribes user voice messages using OpenAI Whisper. Processes requests with an AI agent powered by Google Gemini. Responds with AI-synthesized voice using Replicate API. PDF RAG System:** Index PDF documents from Google Drive via Telegram commands. Utilizes Mistral AI for Optical Character Recognition (OCR) on PDFs. Stores document content and embeddings in a Qdrant vector database. Answers questions about your documents using Google Gemini, based on retrieved context. Google Suite Automation:** Manage Google Calendar: Create events, find upcoming holidays, and list birthdays. Google Drive: Search for PDF files and manage document templates. Google Docs: Automatically generate invoices from templates. Intelligent Web Search:** Employs Brave Search for fetching real-time information from the web. Versatile AI Agent:** Leverages Google Gemini with a suite of tools including a calculator, date & time utilities, and custom integrations (e.g., example Airbnb tools). Command-Driven Functionality:** Easily trigger specific actions using Telegram commands like /help, /pdf, /rag, /invoice, /chat, /brave, and /birthday. ⚙️ How It Works The workflow is initiated by messages or commands sent to your Telegram bot. A central Switch node directs the flow based on the input received. Telegram Interaction & Command Routing A Telegram Trigger node listens for new messages (text or voice). A "typing..." indicator is sent to Telegram for better user experience. The Switch node parses the message content and routes it to the appropriate sub-workflow based on predefined commands (e.g., /pdf, /rag, /voice) or general chat. AI Voice Bot Functionality For voice messages (or if the voice path is triggered): The voice file is downloaded from Telegram. OpenAI Whisper transcribes the audio into text. The transcribed text is fed to an AI Agent (powered by Google Gemini and equipped with various tools and memory). The AI Agent's text response is then sent to the Replicate API to generate a natural-sounding voice. The generated audio response is sent back to the user on Telegram. PDF RAG System with Mistral OCR & Qdrant Indexing PDFs (via /qdrant <Google_Drive_File_ID> command):** The specified PDF is downloaded from Google Drive. The PDF is uploaded to Mistral AI for OCR processing. The extracted text (in markdown format) is retrieved. The text is split into manageable chunks. OpenAI Embeddings are generated for each chunk. These chunks and their embeddings are stored in a Qdrant vector collection. A confirmation message is sent to Telegram. Querying PDFs (via /rag <your_question> command):** The user's question is processed by a RetrievalQA Chain. This chain uses Google Gemini as the Language Model and retrieves relevant document chunks from Qdrant based on semantic similarity (embeddings). Google Gemini then generates a concise answer based on the user's question and the retrieved contextual information from the documents. The answer is sent back to the user on Telegram. Searching PDFs in Drive (via /pdf <search_term> command):** Searches your Google Drive for PDF files matching the provided search term. Sends a list of found PDF files (name and ID) to the user on Telegram, allowing them to easily identify files for indexing with /qdrant. AI Chat & Task Automation (General Chat & /chat command) Handles general text messages or transcribed voice inputs that are not specific commands. An AI Agent (Google Gemini) processes these inputs. The agent is equipped with tools such as: Google Calendar Tools: To create events, find the next public holiday, or list upcoming birthdays. Brave Search Tool: To search the internet for information. Calculator Tool: For mathematical computations. Date & Time Utility: For handling and formatting dates. Example Airbnb Tools: Demonstrates extensibility for custom tool integrations. The agent utilizes a "Think Node" process for reasoning and Window Buffer Memory to maintain conversational context. Responses are formulated and sent back to the user on Telegram. Google Automations Invoice Generation (via /invoice command):** Copies a predefined Google Docs invoice template from your Google Drive. Populates the new document with details (client name, items, etc. – currently uses placeholder data from an 'Edit Fields' node, which can be customized to parse input from the command). Converts the populated Google Doc into a PDF file. Sends the generated PDF invoice to the user via Telegram. Calendar Management (via AI Agent or specific commands like /birthday):** The /birthday command fetches upcoming birthdays from a specified Google Calendar. The AI Agent can also interact with Google Calendar to create events or retrieve information based on natural language requests. Web Search (via /brave <query> command or AI Agent) Performs a web search using the Brave Search API. Returns a list of search results, including titles and URLs, to the user on Telegram. Help Command (/help) Provides the user with a formatted list of all available Telegram commands and their basic usage instructions. 🛠️ Setup Steps & Credentials To get this workflow bundle up and running, you'll need to configure several credentials: Telegram: Create a new bot via @BotFather on Telegram to obtain a Bot Token. Add this token to the Telegram Trigger node and all Telegram (sender) nodes in the workflow. OpenAI: Obtain an API Key from platform.openai.com. Create an OpenAI credential. Use this credential in the Convert audio to text (OpenAI node for Whisper transcription) and all Embeddings OpenAI nodes (for RAG system). Replicate API (Text-to-Speech): Sign up at replicate.com and get your API token. Create an HTTP Bearer Auth credential using this token. Assign this credential to the Call Replicate API (HTTP Request) node. Google Gemini (PaLM API): Get an API key from Google AI Studio or Google Cloud Console. Create a Google Gemini(PaLM) Api credential. Assign it to all Google Gemini Chat Model nodes. Qdrant (Vector Database): Set up a Qdrant instance (either cloud-hosted or self-managed). Note your Qdrant instance URL and API Key (if security is enabled). Create a QdrantApi credential with these details. Assign it to the Qdrant Vector Store nodes. For the Refresh collection node (an HTTP Request node used to clear the collection for /pdf command demo), create an HTTP Header Auth credential with your Qdrant API key if required by your instance. Mistral AI (PDF OCR): Obtain an API key from console.mistral.ai. Create a Mistral Cloud API credential. Assign this to the Mistral Upload, Mistral Signed URL, and Mistral DOC OCR (HTTP Request) nodes. Google Drive & Google Docs: Ensure the Google Drive API and Google Docs API are enabled in your Google Cloud Console project. Set up OAuth 2.0 credentials (Client ID and Client Secret). Create Google Drive OAuth2 Api and Google Docs OAuth2 Api credentials. Assign these to the respective Google Drive and Google Docs nodes throughout the workflow. Important: Configure relevant Folder IDs (for PDF search, invoice template source, invoice output) and the invoice template Document ID in the Google Drive and Google Docs nodes. Google Calendar: Enable the Google Calendar API in your Google Cloud Console project. Set up OAuth 2.0 credentials. Create a Google Calendar OAuth2 Api credential. Assign it to the Google CalendarTool and Google Calendar nodes. Specify the correct calendar names or IDs in the nodes (e.g., for birthdays, holidays, new event creation). Brave Search: Get a Brave Search API key from their developer portal. Create a Brave Search API credential. Assign it to the Brave Search nodes and tools. (Optional) Airbnb MCP Client: The workflow includes example nodes for Airbnb MCP tools. If you intend to use or expand these, set up the corresponding MCP Client API credentials. 💡 Customization & Learning This "Beginner Bundle" is not just a ready-to-use solution but also a fantastic learning resource: Explore AI Agent Prompts:** Dive into the AI Agent nodes to see how prompts are structured to guide the LLM's behavior, including the "Think Node" process and character guidance for robust messaging. Modify Toolsets:** Easily add or remove tools for the AI agent to expand its capabilities. Invoice Customization:** Adapt the Edit Fields node and the Google Docs template to match your invoicing needs. You can extend it to parse invoice details directly from the Telegram command. RAG Parameters:** Experiment with chunk sizes, overlap, and different embedding models in the RAG pipeline. Extend Commands:** Add new commands and corresponding functionalities by expanding the main Switch node and building out new automation paths. By setting up and dissecting this workflow, beginners can gain a practical understanding of building complex, AI-driven applications, integrating various services, and managing different data flows.

Automated Research Report Generation with OpenAI, Wikipedia, Google Search, Gmail/Telegram and PDF Output Description What Problem Does This Solve? 🛠️ This workflow automates the process of generating professional research reports for researchers, students, and professionals. It eliminates manual research and report formatting by aggregating data, generating content with AI, and delivering the report as a PDF via Gmail or Telegram. Target audience: Researchers, students, educators, and professionals needing quick, formatted research reports. What Does It Do? 🌟 Aggregates research data from Wikipedia, Google Search, and SerpApi. Refines user queries and generates structured content using OpenAI. Converts the content into a professional HTML report, then to PDF. Sends the PDF report via Gmail or Telegram. Key Features 📋 Real-time data aggregation from multiple sources. AI-driven content generation with OpenAI. Automated HTML-to-PDF conversion for professional reports. Flexible delivery via Gmail or Telegram. Error handling for robust execution. Setup Instructions Prerequisites ⚙️ n8n Instance**: Self-hosted or cloud n8n instance. API Credentials**: OpenAI API: API key with GPT model access, stored in n8n credentials. SerpApi (Google Search): API key from SerpApi, stored in n8n credentials (do not hardcode in nodes). Gmail API: Credentials from Google Cloud Console with Gmail scope. Telegram API: Bot token from BotFather on Telegram. Installation Steps 📦 Import the Workflow: Copy the workflow JSON from the "Template Code" section below. Import it into n8n via "Import from File" or "Import from URL". Configure Credentials: Add API credentials in n8n’s Credentials section for OpenAI, SerpApi, Gmail, and Telegram. Assign credentials to respective nodes. For example: In the SerpApi Google Search node, use n8n credentials for SerpApi: api_key={{ $credentials.SerpApiKey }}. In the Send Research PDF on Gmail node, use Gmail credentials. In the Send PDF to Telegram node, use Telegram bot credentials. Set Up Nodes: OpenAI Nodes (Research AI Agent, OpenAI Chat Model, OpenAI Chat Middle Memory): Update the model (e.g., gpt-4o) and prompt as needed. Input Validation (Input Validation node): Ensure your input query format matches the expected structure (e.g., topic: "AI ethics"). Delivery Options (Send Research PDF on Gmail, Send PDF to Telegram): Configure recipient email or Telegram chat ID. Test the Workflow: Run the workflow by clicking the "Test Workflow" node. Verify that the research report PDF is generated and sent via Gmail or Telegram. How It Works High-Level Steps 🔍 Query Refinement**: Refines the input query for better research. Aggregate Data**: Fetches data from Wikipedia, Google Search, and SerpApi. Generate Report**: Uses OpenAI to create a structured report. Convert to PDF**: Converts the report to HTML, then PDF. Deliver Report**: Sends the PDF via Gmail or Telegram. Detailed descriptions are available in the sticky notes within the workflow screenshot above. Node Names and Actions Research and Report Generation Test Workflow: Triggers the workflow for testing. Input Validation: Validates the input query. Query Refiner: Refines the query for better results. Research AI Agent: Coordinates research using OpenAI. OpenAI Chat Model: Generates content for the report. Structured Output Parser: Parses OpenAI output into structured data. OpenAI Chat Middle Memory: Retains context during research. Wikipedia Google Search: Fetches data from Wikipedia. SerpApi Google Search: Fetches data via SerpApi. Merge Split Items: Merges data from multiple sources. Aggregate: Aggregates all research data. Generate PDF HTML: Creates an HTML report. Convert HTML to PDF: Converts HTML to PDF. Download PDF: Downloads the PDF file. Send PDF to Telegram: Sends the PDF via Telegram. Send Research PDF on Gmail: Sends the PDF via Gmail. Customization Tips Expand Data Sources** 📡: Add more sources (e.g., academic databases) by adding nodes to Merge Split Items. Change Report Style** ✍️: Update the Generate PDF HTML node to modify the HTML template (e.g., adjust styling or sections). Alternative Delivery** 📧: Add nodes to send the PDF via other platforms (e.g., Slack). Adjust AI Model** 🧠: Modify the OpenAI Chat Model node to use a different model (e.g., gpt-3.5-turbo).

✍️🌄 WordPress + AI Content Creator This workflow automates the creation and publishing of multi-reading-level content for WordPress blogs. It leverages AI to generate optimized articles, automatically creates featured images, and provides versions of the content at different reading levels (Grade 2, 5, and 9). How It Works Content Generation & Processing 🎯 Starts with a manual trigger and a user-defined blog topic Uses AI to create a structured blog post with proper HTML formatting Separates and validates the title and content components Saves a draft version to Google Drive for backup Multi-Reading Level Versions 📚 Automatically rewrites the content for different reading levels: Grade 9: Sophisticated language with appropriate metaphors Grade 5: Simplified with light humor and age-appropriate examples Grade 2: Basic language with simple metaphors and child-friendly explanations WordPress Integration 🌐 Creates a draft post in WordPress with the Grade 9 version Generates a relevant featured image using Pollinations.ai Automatically uploads and sets the featured image Sends success/error notifications via Telegram Setup Steps Configure API Credentials 🔑 Set up WordPress API connection Configure OpenAI API access Set up Google Drive integration Add Telegram bot credentials for notifications Customize Content Parameters ⚙️ Adjust reading level prompts as needed Modify image generation settings Set WordPress post parameters Test and Deploy 🚀 Run a test with a sample topic Verify all reading level versions Check WordPress draft creation Confirm notification system This workflow is perfect for content creators who need to maintain a consistent blog presence while catering to different audience reading levels. It's especially useful for educational content, news sites, or any platform that needs to communicate complex topics to diverse audiences.

PromptCraft AI – Telegram Image Generator 🚀 How It Works PromptCraft AI is an n8n automation that transforms simple image ideas sent through Telegram into stunning AI-generated images using OpenAI's DALL·E (or other image models). 🔁 Workflow Overview: Telegram Trigger: Listens for messages from a user on Telegram. Prompt Expansion: The message is transformed into a rich image description using GPT (OpenAI Chat Model). Image Generation: The prompt is passed to OpenAI's image API to generate a high-quality image. Send Image: The final image is sent back to the user on Telegram. (Optional) Log image titles and links to Google Drive and Google Sheets. ⚙️ Setup Instructions 📋 Prerequisites [ ] n8n installed (Self-hosted or via n8n.cloud) [ ] Telegram bot token (via @BotFather) [ ] OpenAI API key (platform.openai.com) [ ] Google Sheets & Drive OAuth2 credentials (optional) 🧠 Step-by-Step Configuration 📥 Import the Workflow Go to n8n → click Import → upload PromptCraft_AI_Template.json 🔐 Set Up Credentials In Credentials, add the following: Telegram API → Paste your bot token OpenAI API → Paste your OpenAI API key (Optional) Google Sheets OAuth2, Google Drive OAuth2 🔄 Replace Placeholders Open each node that requires credentials: Replace REPLACE_OPENAI_API_KEY with your actual OpenAI API key Replace REPLACE_TELEGRAM_API_ID and credential names as needed (Optional) Update Google Drive Folder ID & Sheet ID in respective nodes ✅ Activate the Workflow Turn on the Telegram Trigger node. Deploy and activate the full workflow. ✉️ Test It Out Send your Telegram bot a message like: > a knight riding a robotic horse in the future Receive the generated image back in Telegram! 💡 Pro Tips Use detailed or imaginative inputs for better outputs. Fine-tune the GPT prompt for specific visual styles. Extend with Google Vision, image upscaling, or watermarking. 🛟 Support For setup assistance or custom feature requests, feel free to contact me @[email protected] Happy Prompting! 🖼✨

AI Image Generator & Editor with GPT-4 Vision - Complete Workflow Template Description Transform text prompts into stunning images or edit existing visuals using OpenAI's latest GPT-4 Vision model through an intuitive web form interface. This comprehensive n8n automation provides three powerful image generation modes: 🎨 Text-to-Image Generation Simply enter a descriptive prompt and generate high-quality images from scratch using OpenAI's gpt-image-1 model. Perfect for creating original artwork, concepts, or visual content. 🖼️ Image-to-Image Editing Upload an existing image file and transform it based on your text prompt. The AI analyzes your input image and applies modifications while maintaining the original structure and context. 🔗 URL-Based Image Editing Provide a direct URL to any online image and edit it with AI. Great for quick modifications of web images or collaborative workflows. Key Features Smart Input Processing Flexible Form Interface**: User-friendly web form with authentication Multiple Input Methods**: File upload, URL input, or text-only generation Quality Control**: Selectable quality levels (low, medium, high) Format Support**: Accepts PNG, JPG, and JPEG formats Advanced AI Integration Latest GPT-4 Vision Model**: Uses gpt-image-1 for superior results Intelligent Switching**: Automatically detects input type and routes accordingly Context-Aware Editing**: Maintains image coherence during modifications Customizable Parameters**: Control size (1024x1024), quality, and generation settings Dual Storage Options Google Drive Integration**: Automatic upload with public sharing permissions ImgBB Hosting**: Alternative cloud storage for instant public URLs File Management**: Organized storage with timestamp-based naming Instant Telegram Delivery Real-time Notifications**: Results sent directly to your Telegram chat Rich Media Messages**: Includes generated image with prompt details Quick Access Links**: Direct links to view and download results Markdown Formatting**: Clean, professional message presentation Technical Workflow Form Submission → User submits prompt and optional image Smart Routing → System detects input type (text/file/URL) AI Processing → OpenAI generates or edits image based on mode Binary Conversion → Converts base64 response to downloadable file Cloud Upload → Stores in Google Drive or ImgBB with public access Telegram Delivery → Sends result with viewing links and metadata Perfect For Content Creators**: Generate unique visuals for social media and marketing Designers**: Quick concept development and image variations Developers**: Automated image processing for applications Teams**: Collaborative image editing and sharing workflows Personal Use**: Transform ideas into visual content effortlessly Setup Requirements OpenAI API Key**: Access to GPT-4 Vision model Google Drive API** (optional): For Google Drive storage ImgBB API Key** (optional): For alternative image hosting Telegram Bot**: For result delivery Basic Auth Credentials**: For form security What You Get ✅ Complete image generation and editing pipeline ✅ Secure web form with authentication ✅ Dual cloud storage options ✅ Instant Telegram notifications ✅ Professional result formatting ✅ Flexible input methods ✅ Quality control settings ✅ Automated file management Start creating AI-powered images in minutes with this production-ready template! Tags: #AI #ImageGeneration #OpenAI #GPT4 #ImageEditing #Telegram #GoogleDrive #Automation #ComputerVision #ContentCreation

The Best Invoice & Receipt OCR Automation - FREE (for a limited time) Automatically process invoices and receipts using Gemini OCR, extracting data directly into Google Sheets from multiple sources including Google Drive, Gmail, and Telegram. This powerful workflow ensures your bookkeeping is always accurate, organized, and efficient, significantly reducing manual effort and potential errors. Who is this for? This workflow is ideal for busy entrepreneurs, startup founders, freelancers, small business owners, bookkeepers, and accountants who aim to eliminate manual, repetitive, and error-prone bookkeeping tasks. Whether you regularly manage expenses from physical paper receipts, digital invoices, or email attachments, this workflow will dramatically streamline your bookkeeping processes and save you significant time and effort each month. What problem is this workflow solving? Manual data entry of invoices and receipts is notoriously tedious, incredibly time-consuming, and highly susceptible to human error. Mistakes in bookkeeping can lead to financial inaccuracies, compliance issues, and wasted resources. By automating the extraction of invoice data, this workflow streamlines your financial management process, significantly improves accuracy, reduces operational overhead, and allows you to redirect valuable resources and attention toward strategic, revenue-generating business activities. What this workflow does This template provides a powerful, automated solution for invoice and receipt data extraction using Google's Gemini API for OCR (Optical Character Recognition) via direct HTTP requests. Main Flow (Google Drive Trigger): The main workflow triggers (Google Drive Trigger New Files) whenever a new file (PDF or image) is added to a designated Google Drive folder. It uses a SplitInBatches node (Loop Over Items) to process incoming files one by one. For each file, it: Downloads the file (Google Drive Get Receipt). Converts it to base64 (Move file to base64 string). Sends the file data and a detailed prompt to the Gemini API (gemini-2.0-flash model specified in the Prompt node, sent via the Gemini API HTTP Request node). The prompt requests structured JSON output with specific fields and formatting (like comma decimal separators, no currency symbols, and a dedicated currency field). Parses the JSON response (JSON to string, Parse string nodes). Appends the extracted data (Invoice Date, Category, Sender, Currency, etc.), along with the original filename and a link to the file, to a specified Google Sheet (Add to Google Sheets). Includes Wait nodes to help manage potential rate limits. Supplementary flow 1 (Gmail Trigger): An additional trigger (Gmail Trigger) monitors your Gmail account for emails with a specific label. When a matching email with attachments arrives: It loops through emails and attachments. It renames the attachment using the format YYYY-MM-DD_SenderUsername (e.g., 2025-04-19_some.sender) using the Create File Name node. It saves the renamed attachment to the designated Google Drive folder (Google Drive Save Files), which then triggers the core OCR process above. Supplementary Trigger 2 (Telegram Trigger): Another optional trigger (Telegram Trigger Image) allows you to forward photos of physical receipts to your configured Telegram bot: It renames the image file using the format YYYY-MM-DD_Telegram (e.g., 2025-04-19_Telegram) via the Create File Name For Telegram node. It saves the renamed image to the designated Google Drive folder (Google Save Files 2), also triggering the core OCR process. Setup Credentials: Add the following credentials in n8n, using the names specified in the template or your own: Google OAuth2: For Google Drive, Google Sheets, Gmail. Telegram: For the Telegram bot trigger Gemini API Key: Obtain a free API key from Google AI Studio. You will need to paste this key directly into the Query Parameters of the Gemini API (HTTP Request) node in the workflow. Google Drive: Create a specific folder in your Google Drive where all invoices/receipts will be stored and processed from. Update the target Folder in the Google Drive Trigger New Files, Google Drive Save Files, and Google Save Files 2 nodes to use your designated folder. Google Sheets: Create a new Google Sheet, or clone this Sheet template. Ensure it has columns matching the desired output fields (see default list below, including Currency). Update the target Spreadsheet and Sheet Name in the Add to Google Sheets node to point to your sheet. Gmail (Optional): Create a label in Gmail (e.g., "receipts"). Update the Label filter in the Gmail Trigger node to use the label you created. Consider setting up filters in Gmail to automatically apply this label to relevant emails. Telegram (Optional): Configure the Telegram Trigger Image node with your bot credentials. Gemini API Node: Open the Gemini API (HTTP Request) node. In the "Query Parameters" section, replace the placeholder API key with your actual Gemini API Key. Verify the URL uses the correct model name by referencing the Prompt node's model value (gemini-2.0-flash by default). Customize Prompt: Open the Prompt (Set) node. Crucially, change the first line "My company is Sisu Digital..." to reflect your company or remove it if not needed. Review the list of categories and the specific formatting instructions (e.g., comma for decimals, no currency symbols, date format, "N/A" for notes) to ensure they match your requirements. You can adjust these details here. Activate Workflow: Test each trigger path (Drive upload, labeled Gmail, Telegram photo) with sample files/emails/messages, then activate the workflow. How to customize this workflow to your needs Gemini Prompt/Model:* Modify the prompt text, the list of categories, or the detailed formatting instructions within the *Prompt (Set) node. You can also change the model value in the Prompt node to use a different Gemini model (ensure the model supports the API endpoint used in the HTTP Request node). Extracted Fields:* Modify the prompt in the *Prompt node to extract different fields or change formatting. Update the parsing logic in the Parse string node if needed, and ensure your Google Sheet columns match in the Add to Google Sheets node. The default extracted fields (based on the updated prompt) are: Invoice Date: (DD/MM/YYYY) Category: (From predefined list) Sender: (Issuing company) Description: (Brief details) Amount (0% VAT): (Net amount, comma decimal, no currency symbol) VAT %: (Rate number, comma decimal, no % sign, "0,0" if none) Total: (Gross amount, comma decimal, no currency symbol) Currency: (Uppercase abbreviation, e.g., "EUR", "USD") Note: (Relevant notes, or "N/A") (Added by workflow): File Name, File URL Triggers & Targets:* Enable/disable or modify the *Gmail and Telegram triggers. Select your desired Google Drive folder, Google Sheet, and Gmail label directly within the respective nodes. File Naming:* Adjust the Javascript code in the *Create File Name (for Gmail) or Create File Name For Telegram nodes to change the renaming pattern. Current formats: YYYY-MM-DD_SenderUsername (Gmail), YYYY-MM-DD_Telegram (Telegram). Configuration Method:** Update configuration like folders, sheets, and labels directly within the relevant nodes. For easier management of multiple settings, consider adding a central 'Set' node at the beginning of the workflow to define these values and use expressions to reference them in other nodes. Important Considerations AI Accuracy:** AI models can make mistakes. Always review the data extracted into Google Sheets for accuracy, especially with specific formatting like decimal separators. This workflow automates heavily but requires final verification. Gemini API Usage:* This template uses the *Gemini API via HTTP Request. Be mindful of Google's API rate limits, usage policies, and potential costs associated with the model used (gemini-2.0-flash by default), especially if you change it. Monitor Google's terms. Loops and Waits:* The workflow uses *SplitInBatches and Wait nodes to process items individually and pause execution, which helps prevent hitting API rate limits but processes files sequentially rather than in parallel. Support Disclaimer This workflow is provided as-is for your convenience. Use it responsibly, and feel free to build upon it for your unique needs\! This workflow has been thoroughly tested and is confirmed to be working flawlessly at the time of release. However, setup complexity or unexpected errors may occur depending on your environment, customizations, or API changes. Please note that I cannot offer personalized support or troubleshooting for this template (without a fee\!). If you encounter an issue, feel free to send me a message describing the problem. If the issue is determined to be a genuine bug within the shared template, I will do my best to fix it and update the workflow. Otherwise, the issue is likely due to a setup misconfiguration or modification on your side. In those cases, I recommend using ChatGPT or referring to n8n documentation to debug the problem.

💅 AI Agents Generate Content & Automate Posting for Beauty Salon Social Media 📲 Who Is This For? This workflow is for beauty salons who want consistent, high‑quality social media content without writing every post manually. It also suits agencies and automation builders who manage multiple beauty brands and want a reusable, AI‑driven posting system they can adapt per client. What Problem Is This Workflow Solving? Many beauty businesses struggle to post regularly because research, copywriting, and design all take time and marketing skills. This workflow automates research, writing, image creation, and posting, so your channels stay active and relevant while you focus on clients and services. What This Workflow Does Generates short, engaging posts tailored to a beauty‑salon audience (hair, nails, skincare, make‑up, self‑care) using an AI agent. Uses Tavily Internet Search to pull up‑to‑date information and trends based on a reference link or topic. Turns each post into a detailed, photorealistic image prompt and creates a matching visual with an AI image model (for example, gpt‑image‑1 or other connected providers). Automatically sends the final text and image to Telegram, and can be extended to other social platforms from the Split Out node. How It Works Trigger the workflow Scheduled automatic generation:** Run the parent workflow on a schedule (for example, once per day at 9 AM) to publish new content regularly. Google Sheets trigger:** Generate content when a new row with a reference link or topic is added to your sheet. Use it when you manage ideas or briefs in Google Sheets and want the workflow to react as soon as a new idea appears. RSS Feed trigger:** Start the workflow when new items appear in a selected RSS feed. Ideal for turning fresh blog posts, news, or industry updates into social media content or automated summaries. Meta (Facebook/Instagram) webhook:** Use the Meta Reference trigger to fire the workflow on incoming webhooks from Meta (for example, new comments, messages, or events). Helpful when you want to auto‑respond, log activity, or generate follow‑up content from Meta activity. Airtable trigger:** Start the workflow when records in a selected Airtable base/table change (for example, a new idea, brief, or status update), so your posts react instantly to updates in your Airtable content board. Postgres trigger:** Fire the workflow when new rows are inserted or existing rows are updated in a connected PostgreSQL table, letting you drive content generation from events in your app database or Supabase‑style back end. Manual start:* Hit Execute workflow* whenever you want to spin up a batch of posts on demand, test new prompt settings, or debug the flow step by step. Research and generate copy The GENERATE TEXT agent calls Tavily to gather fresh information on the topic. It writes a post under 1024 characters with a hook, practical tips, relevant hashtags, and a closing line with your salon address and contact. Create the visual The GENERATE PROMPT agent converts the post into a single, clear description of the scene (client, service, salon interior, lighting, mood) with a strict “no text on image” rule. An image model such as gpt‑image‑1 or one of the HTTP image APIs renders a matching beauty visual. Distribute the content The Split Out node fans out the result so Telegram receives a photo post with the generated caption. Additional social or content nodes (for example Facebook, LinkedIn, X, template tools) can be wired after this step for multi‑channel posting. How to Customize This Workflow to Your Needs Brand voice** Edit the system message in the GENERATE TEXT node to adjust tone (luxury, friendly, clinical, playful), language, services, and city. Update the final address and phone line to match your salon details. Topics and triggers** Point the Google Sheets Trigger to your own document ID, sheet, and columns for ideas, links, or campaign themes. Use the Schedule Trigger for fully automatic posting or rely on the Manual Trigger for controlled, batch generation sessions. Models and providers** Swap GPT‑5 llm and the default image model for alternatives such as Mistral, Gemini, Anthropic, DeepSeek, or custom HTTP image APIs by enabling the corresponding nodes and adding credentials. Channels and outputs** Connect or remove social nodes after Split Out depending on which platforms you actively use. Add extra processing steps (for example resizing images or adding UTM parameters) before each channel if needed. Visual style** Tweak the GENERATE PROMPT instructions to control composition (close‑up vs. full‑body), color palette, lighting, and overall salon aesthetic, while keeping the constraint of no text or logos in the image.

🧠 What It Does This n8n workflow turns your Telegram bot into a smart, multi-modal AI assistant that accepts text, documents, images, and audio messages, interprets them using OpenAI models, and responds instantly with context-aware answers. It integrates a Supabase vector database to store document embeddings and retrieve relevant information before sending a prompt to OpenAI — enabling a full RAG experience 💡 Why This Workflow? Most support bots can only handle basic text input. This workflow: Supports multiple input formats (voice, documents, images, text) Dynamically extracts and processes data from uploaded files Implements RAG by combining user input with relevant memory or vector-based context Delivers more accurate, relevant, and human-like AI responses. 👤 Who It's For Businesses looking to automate support using Telegram Freelancers or solopreneurs offering AI Chatbots for businesses. Creators building AI-powered bots for real use cases as it's great for Customer support knowledge, Legal or Policy document, long FAQs, Project documentation, and Product information retrieval. Devs or analysts exploring AI + multi-format input + vector memory. ⚙️ How It Works 🗂️ Knowledge Base Setup Run the “Add to Supabase Vector DB” workflow manually to upload a document from your google drive and embed it into your vector database. This powers the Telegram chatbot’s ability to answer questions using your content. 🔁 Telegram Message Routing Telegram Trigger captures the user message (Text, Image, Voice, Document) Message Router routes input by type using a Switch node Each type is handled separately: Voice → Translate recording to text (.ogg, .mp3) Image → Analyze image to text. Text → Sent directly to AI Agent (.txt). Document → Parsed (e.g. .docx to .txt) accordingly. 📎 Document Type Routing Before routing documents by type, the Supported Document File Types node first checks if the file extension is allowed. If not supported, it exits early with an error message — preventing unnecessary processing. Supported documents are then routed using the Document Router node, and converted to text for further processing. Supported Document File Types .jpg .jpeg .png .webp .pdf .doc .docx .xls .xlsx .json .xml. The text content is combined with stored memory and embedded knowledge using a RAG approach, enabling the AI to respond based on real uploaded data. 🧠 RAG via Supabase Uploaded documents are vectorized using OpenAI Embeddings. Embeddings are stored in Supabase with metadata. On new questions, the chatbot: Extracts question intent Queries Supabase for semantically similar chunks Ranks retrieved chunks to find the most relevant match. Injects them into the prompt for OpenAI. OpenAI generates a grounded response based on actual document content. Response is sent to the Telegram user with content awareness. 🛠 How to Set It Up Open n8n or your local/self-hosted instance. Import the `.json ` workflow file. Set up these credentials: Google drive API Key Telegram API (Bot Token) Guide OpenAI API Supabase API Key + Environment ConvertAPI API Key Postgres API Key Cohere API Key Add a prompt suited to your business. Add a custom AI agent prompt that reflects your business domain, tone, and purpose. This is very important. Without it, your agent won't know how best to respond. Activate the workflow. Start testing by sending a message or document to your Telegram bot.

Description This automation template is designed for content creators, digital marketers, and social media managers looking to simplify their video posting workflow. It automates the process of generating engaging video descriptions and uploading content to both Instagram and TikTok, making your social media management more efficient and error-free. Who Is This For? Content Creators & Influencers:** Streamline your video uploads and focus more on creating content. Digital Marketers:** Ensure consistent posting across multiple platforms with minimal manual intervention. Social Media Managers:** Automate repetitive tasks and maintain a steady online presence. What Problem Does This Workflow Solve? Manually creating descriptions and uploading videos to different platforms can be time-consuming and error-prone. This workflow addresses these challenges by: Automating Video Uploads:** Monitors a designated Google Drive folder for new videos. Generating Descriptions:** Uses OpenAI to transcribe video audio and generate engaging, customized social media descriptions. Ensuring Multi-Platform Consistency:** Simultaneously posts your video with the generated description to Instagram and TikTok. Error Notifications:** Optional Telegram integration sends alerts in case of issues, ensuring smooth operations. How It Works Video Upload: Place your video in the designated Google Drive folder. Description Generation: The automation triggers OpenAI to transcribe your video’s audio and generate a captivating description. Content Distribution: Automatically uploads the video and description to both Instagram and TikTok. Error Handling: Sends Telegram notifications if any issues arise during the process. Setup Generate an API token at social media API upload-post and configure it in both the Upload to TikTok and Upload to Instagram nodes. Google Cloud Project: Create a project in Google Cloud Platform, enable the Google Drive API, and generate the necessary OAuth credentials to connect to your Google Drive account. Set up your Google Drive folder in the Google Drive Trigger node. Customize the OpenAI prompt in the Generate Social Description node to match your brand’s tone. (Optional) Configure Telegram credentials for error notifications. Requirements Accounts:** upload-post.com, Google Drive, and (optionally) Telegram. API Keys & Credentials:** Upload-post.com API token, OpenAI API key, and (optional) Telegram bot token. Google Cloud:** A project with the Google Drive API enabled and valid OAuth credentials. Use this template to enhance your productivity, maintain consistency across your social media channels, and engage your audience with high-quality video content.

Who this workflow is for This workflow is designed for content creators, marketing teams, and automation builders who want to produce short-form video content at scale without manual editing. It is especially useful for teams posting consistently to YouTube Shorts, Instagram Reels, or TikTok who want a repeatable, automated content pipeline driven by AI. What this workflow does This n8n automation converts a single Telegram message into a fully generated short-form video using AI. When a message is sent to a Telegram bot, the workflow: Generates a structured short-form video script using Gemini Creates multiple cinematic video clips using VEO Merges clips into a single short video Generates a title, description, and hashtags optimized for short-form platforms Delivers the finished video asset and metadata back to Telegram or storage The entire process runs automatically without requiring manual scripting, editing, or clip assembly. How the workflow works A Telegram message triggers the workflow with a short content idea An AI model generates a multi-part script optimized for short-form video Video clips are generated for each script segment using VEO Clips are merged into a final vertical video Metadata (title, description, hashtags) is generated and attached The completed short is delivered for review or publishing How to set up the workflow Connect your Telegram bot credentials Configure your Gemini and VEO credentials Review the prompt templates used for script and clip generation Adjust output destinations (Telegram, Google Drive, or manual upload) Activate the workflow All required credentials are stored securely using n8n credential management. Requirements Telegram Bot Google Gemini credentials VEO video generation access n8n instance (cloud or self-hosted) How to customize the workflow Modify the AI prompts to match your content style or niche Change clip length or number of generated scenes Add automatic posting to YouTube Shorts or other platforms Extend the workflow with analytics or scheduling steps Author: Hyrum Hurst Company: QuarterSmart Contact: [email protected]

🎨 AI Image Editor with Form Upload + Telegram Delivery 🚀 Who’s it for? 👥 This workflow is built for content creators, social media managers, designers, and agencies who need fast, AI-powered image editing without the hassle. Whether you're batch-editing for clients or spicing up personal projects, this tool gets it done — effortlessly. What it does 🛠️ A seamless pipeline that: 📥 Accepts uploads + prompts via a clean form ☁️ Saves images to Google Drive automatically 🧠 Edits images with OpenAI’s image API 📁 Converts results to downloadable PNGs 📬 Delivers the final image instantly via Telegram Perfect for AI-enhanced workflows that need speed, structure, and simplicity. How it works ⚙️ User Uploads: Fill a form with an image + editing prompt Cloud Save: Auto-upload to your Google Drive folder AI Editing: OpenAI processes the image with your prompt Convert & Format: Image saved as PNG Telegram Delivery: Final result sent straight to your chat 💬 You’ll need ✅ 🔑 OpenAI API key 📂 Google Drive OAuth2 setup 🤖 Telegram bot token & chat ID ⚙️ n8n instance (self-hosted or cloud) Setup in 4 Easy Steps 🛠️ Connect APIs Add OpenAI, Google Drive, and Telegram credentials to n8n Store keys securely (avoid hardcoding!) Configure Settings Set Google Drive folder ID Add Telegram chat ID Tweak image size (default: 1024×1024) Deploy the Form Add a Webhook Trigger node Test with a sample image Share the form link with users 🎯 Fine-Tune Variables In the Set node, customize: 📐 Image size 📁 Folder path 📲 Delivery options ⏱️ Timeout duration Want to customize more? 🎛️ 🖼️ Image Settings Change size (e.g. 512x512 or 2048x2048) Update the model (when new versions drop) 📂 Storage Auto-organize files by date/category Add dynamic file names using n8n expressions 📤 Delivery Swap Telegram with Slack, email, Discord Add multiple delivery channels Include image prompt or metadata in messages 📝 Form Upgrades Add fields for advanced editing Validate file types (e.g. PNG/JPEG only) Show a progress bar for long edits ⚡ Advanced Features Add error handling or retry flows Support batch editing Include approvals or watermarking before delivery ⚠️ Notes & Best Practices ✅ Check OpenAI credit balance 🖼️ Test with different image sizes/types ⏱️ Adjust timeout settings for larger files 🔐 Always secure your API keys

🧠 Overview This n8n automation turns any RSS feed into a spoken podcast episode, using OpenAI for summarization and ElevenLabs for voice generation. The final audio is then sent straight to your Telegram for instant publishing or listening. 📌 Works with both self-hosted and cloud-based n8n instances. No-code podcasting made simple. 👥 Who is this for? Podcasters & creators who want to automate content News curators or newsletter writers Agencies turning articles into daily voice updates Anyone who wants to voice AI-generated summaries and distribute via Telegram 🚀 What this workflow automates 📡 Pulls the latest article from your chosen RSS feed 🧠 Uses OpenAI to summarize or rewrite the article 🗣️ Generates a natural-sounding podcast using ElevenLabs 📲 Sends the audio file to your Telegram inbox 🧰 What You’ll Need 🔗 RSS feed link (any source of fresh content) 🔑 ElevenLabs API key (for voice generation) 🧠 OpenAI API key (for summarization or rewriting) 💬 Telegram Bot Token & your personal Chat ID (to receive the audio) 🛠️ Setup Instructions Step 1: Get Your Chat ID & Telegram Bot Token Open Telegram Search for @BotFather Create a new bot → Copy the token Search for @userinfobot → Copy your chat ID Save both for use in the Telegram node Step 2: Create/Open an ElevenLabs Account Go to https://www.elevenlabs.io Copy your API key from the dashboard Choose your voice (the voice ID will be used in the workflow) Ensure your plan supports audio generation (free tier includes monthly usage) Step 3: Generate an OpenAI API Key Log in to https://platform.openai.com Generate your API key Use GPT-4 or GPT-3.5 for best results Step 4: Configure Credentials in n8n In n8n → Settings → Credentials, set up: OpenAI API → Add your key HTTP Header Auth → For ElevenLabs Telegram Bot → Add your token Step 5: Import and Configure the Workflow Go to n8n → Workflows → Import Upload your .json file In the RSS node, replace the default link with your own feed Update the ElevenLabs node with: Your API key Voice ID Update Telegram node with: Your bot token Your personal chat ID 🧩 Customization Tips Change the Feed Source Swap out the RSS feed URL to pull from different blogs, news sites, or content platforms. Control Script Style Edit the OpenAI prompt to: Make it more casual or formal Add a call-to-action or intro line Include a sign-off (e.g., “Thanks for listening!”) Use Different Voices In ElevenLabs, you can: Create a custom voice Choose one with a specific accent or tone Adjust stability or clarity for better results Add Distribution Channels Send the audio to: Email Notion Google Drive A podcast host with API support (e.g. Podbean, Buzzsprout) 🧪 Troubleshooting Problem Solution Audio not generating Check ElevenLabs voice ID and credit limits Telegram not sending Ensure bot token and chat ID are correct RSS not pulling content Verify feed URL and test in browser Summary is too short/long Adjust prompt or temperature in OpenAI node 📣 Getting Support n8n Docs ElevenLabs API Docs OpenAI API Reference n8n Community 💌 Need help or customization? Email: [email protected] 🌟 Enjoyed this template? Give it a ⭐ in the library and help creators automate their podcast workflow with AI and voice tech! “From RSS feed to voiced podcast in minutes — fully automated.”

This workflow automates the process of transcribing voice notes from Telegram and then summarizing them, finally saving both the transcript and the summary to Google Drive. Here's a step-by-step breakdown of what the workflow does: Triggered by Telegram Message:** The workflow starts when a new message is received on Telegram. Get Audio File from Telegram:** It then retrieves the audio file from the Telegram message. Transcribe Audio with OpenAI:** The audio file is sent to OpenAI for transcription. Save Transcript to Google Drive:** The generated transcript is saved as a new Google Doc in a designated "N8N Transcribes" folder within Google Drive. The document is named after the original audio file. Summarize Transcript with AI:** The transcript is then sent to an AI agent (which uses DeepSeek Chat Model 1 as its language model) to generate a summary description. The prompt instructs the AI to create a plain text summary suitable for a report to a supervisor, expanding on the title and avoiding rich text formatting. Save Summary to Google Drive:** Finally, the generated summary is saved as a new Google Doc in a "N8N Summaries" folder in Google Drive, also named after the original audio file.

This automation is designed to help you generate AI-powered music tracks, cover art, and fully rendered music videos — all triggered from a simple Telegram chat and managed via Google Sheets. Sample Audio Generated: Youtube Link ⚠️ Note: This is only a summary. The full setup guide (with detailed steps, API setup, code snippets, and integrations) is included in a PDF on the Gumroad download page. Follow it to configure everything seamlessly. ⚙️ What This Workflow Does Lets users interact with an AI agent on Telegram to submit song ideas. Automatically logs ideas in Google Sheets. Generates lyrics, music, cover images, and looping video backgrounds using AI APIs. Merges audio + video into a polished final clip. Uploads everything to Google Drive and sends a final video link back to the Telegram user. 🔗 Built with 3 Modular Workflows Telegram & Sheet Logger Collects ideas from users, stores them in a Google Sheet, and saves their chat ID for later notifications. AI Generation Engine Handles lyrics creation, music generation, image prompts, artwork, video background generation, and uploads. Final Render + Delivery Merges audio and video, uploads to cloud storage, updates the Sheet, and sends the finished video to Telegram. 🧩 Integrations Used Google Sheets Telegram Bot API Multiple AI APIs (for music, images, video, and compression) Google Apps Script Creatomate for video rendering Cloud storage (via Google Drive) 🚀 How to Set It Up Import the .json file into your n8n instance. Copy the included Google Sheets and Creatomate templates. Set up the Google Apps Script using the included code. Replace all placeholder API keys and folder IDs. Test everything end-to-end using your Telegram bot. ✅ Tip: No coding experience needed — just follow the step-by-step documentation PDF provided in your Gumroad download. Everything is laid out clearly to get you running fast. 💰Costs Song generation costs (suno): $5 gets you 1000 credits, 1 song generation costs 12 credits, every api call for one song generates two versions by default. Check the song generation node to see the two versions. You can update the GSheet to append the two versions and send back to you to choose one. Flux Image gen cost is $0.04 per image. Runway cost is $0.16 per 10 seconds of video.

Transcribe audio messages from Telegram using Google Gemini for free. Send an audio file to your Telegram bot and get a full transcription using Gemini’s free model. Who is this template for? Anyone who needs quick and accurate transcriptions of audio messages. Perfect for: Creators and podcasters Coaches or educators People who receive a lot of audio on Telegram You can also adapt this workflow to transcribe audio from other sources, like WhatsApp, Google Drive, or direct uploads. How it works You send an audio file to your Telegram bot n8n downloads the file and converts it to text using Google Gemini The transcript is sent back to you on Telegram How to set up You’ll just need: A Telegram bot token A Google Gemini API key (free tier supported) The rest works out by itself. Check out my other templates 👉 https://n8n.io/creators/solomon/

🔧 Setup Guide - Hiring Bot Workflow 📋 Prerequisites Before importing this workflow, make sure you have: ✅ n8n Instance (cloud or self-hosted) ✅ Telegram Bot Token (from @BotFather) ✅ OpenAI API Key (with GPT-4 Vision access) ✅ Gmail Account (with OAuth setup) ✅ Google Drive (to store your resume) ✅ Redis Instance (free tier available at Redis Cloud) 🚀 Step-by-Step Setup 1️⃣ Upload Your Resume to OpenAI First, you need to upload your resume to OpenAI's Files API: Upload your resume to OpenAI curl https://api.openai.com/v1/files \ -H "Authorization: Bearer YOUR_OPENAI_API_KEY" \ -F purpose="assistants" \ -F file="@/path/to/your/resume.pdf" Important: Save the file_id from the response (looks like file-xxxxxxxxxxxxx) Alternative: Use OpenAI Playground or Python: from openai import OpenAI client = OpenAI(api_key="YOUR_API_KEY") with open("resume.pdf", "rb") as file: response = client.files.create(file=file, purpose="assistants") print(f"File ID: {response.id}") 2️⃣ Upload Your Resume to Google Drive Go to Google Drive Upload your resume PDF Right-click → "Get link" → Copy the file ID from URL URL format: https://drive.google.com/file/d/FILE_ID_HERE/view Example ID: 1h79U8IFtI2dp_OBtnyhdGaarWpKb9qq9 3️⃣ Create a Telegram Bot Open Telegram and message @BotFather Send /newbot Choose a name and username Save the Bot Token (looks like 123456789:ABCdefGHIjklMNOpqrsTUVwxyz) (Optional) Set bot commands: /start - Start the bot /help - Get help 4️⃣ Set Up Redis Option A: Redis Cloud (Recommended - Free) Go to Redis Cloud Create a free account Create a database Note: Host, Port, Password Option B: Local Redis Docker docker run -d -p 6379:6379 redis:latest Or via package manager sudo apt-get install redis-server 5️⃣ Import the Workflow to n8n Open n8n Click "+" → "Import from File" Select Hiring_Bot_Anonymized.json Workflow will import with placeholder values 6️⃣ Configure Credentials A. Telegram Bot Credentials In n8n, go to Credentials → Create New Select "Telegram API" Enter your Bot Token from Step 3 Test & Save B. OpenAI API Credentials Go to Credentials → Create New Select "OpenAI API" Enter your OpenAI API Key Test & Save C. Redis Credentials Go to Credentials → Create New Select "Redis" Enter: Host: Your Redis host Port: 6379 (default) Password: Your Redis password Test & Save D. Gmail Credentials Go to Credentials → Create New Select "Gmail OAuth2 API" Follow OAuth setup flow Authorize n8n to access Gmail Test & Save E. Google Drive Credentials Go to Credentials → Create New Select "Google Drive OAuth2 API" Follow OAuth setup flow Authorize n8n to access Drive Test & Save 7️⃣ Update Node Values A. Update OpenAI File ID in "PayloadForReply" Node Double-click the "PayloadForReply" node Find this line in the code: const resumeFileId = "YOUR_OPENAI_FILE_ID_HERE"; Replace with your actual OpenAI file ID from Step 1: const resumeFileId = "file-xxxxxxxxxxxxx"; Save the node B. Update Google Drive File ID (Both "Download Resume" Nodes) There are TWO nodes that need updating: Node 1: "Download Resume" Double-click the node In the "File ID" field, click "Expression" Replace YOUR_GOOGLE_DRIVE_FILE_ID with your actual ID Update "Cached Result Name" to your resume filename Save Node 2: "Download Resume1" (same process) Double-click the node Update File ID Update filename Save 8️⃣ Assign Credentials to Nodes After importing, you need to assign your credentials to each node: Nodes that need credentials: | Node Name | Credential Type | |-----------|----------------| | Telegram Trigger | Telegram API | | Generating Reply | OpenAI API | | Store AI Reply | Redis | | GetValues | Redis | | Download Resume | Google Drive OAuth2 | | Download Resume1 | Google Drive OAuth2 | | Schedule Email | Gmail OAuth2 | | SendConfirmation | Telegram API | | Send a message | Telegram API | | Edit a text message | Telegram API | | Send a text message | Telegram API | | Send a chat action | Telegram API | How to assign: Click on each node In the "Credentials" section, select your saved credential Save the node 🧪 Testing the Workflow 1️⃣ Activate the Workflow Click the "Active" toggle in the top-right Workflow should now be listening for Telegram messages 2️⃣ Test with a Job Post Find a job post online (LinkedIn, Indeed, etc.) Take a screenshot Send it to your Telegram bot Bot should respond with: "Analyzing job post..." (typing indicator) Full email draft with confirmation button 3️⃣ Test Email Sending Click "Send The Email" button Check Gmail to verify email was sent Check if resume was attached 🐛 Troubleshooting Issue: "No binary image found" Solution:** Make sure you're sending an image file, not a document Issue: "Invalid resume file_id" Solution:** Check OpenAI file_id format (starts with file-) Verify file was uploaded successfully Make sure you updated the code in PayloadForReply node Issue: "Failed to parse model JSON" Solution:** Check OpenAI API quota/limits Verify model name is correct (gpt-5.2) Check if image is readable Issue: Gmail not sending Solution:** Re-authenticate Gmail OAuth Check Gmail permissions Verify "attachments" field is set to "Resume" Issue: Redis connection failed Solution:** Test Redis connection in credentials Check firewall rules Verify host/port/password Issue: Telegram webhook not working Solution:** Deactivate and reactivate workflow Check Telegram bot token is valid Make sure bot is not blocked 🔐 Security Best Practices Never share your credentials - Keep API keys private Use environment variables in n8n for sensitive data Set up Redis password - Don't use default settings Limit OAuth scopes - Only grant necessary permissions Rotate API keys regularly Monitor usage - Check for unexpected API calls 🎨 Customization Ideas Change AI Model In the PayloadForReply node, update: const MODEL = "gpt-5.2"; // Change to gpt-4, claude-3-opus, etc. Adjust Email Length Modify the system prompt: // From: Email body: ~120–180 words unless INSIGHTS specify otherwise. // To: Email body: ~100–150 words for concise applications. Add More Languages Update language detection logic in the system prompt to support more languages. Custom Job Filtering Edit the system prompt to target specific roles: // From: Only pick ONE job offer to process — the one most clearly related to Data roles // To: Only pick ONE job offer to process — the one most clearly related to [YOUR FIELD] Add Follow-up Reminders Add a "Wait" node after email sends to schedule a reminder after 7 days. 📊 Workflow Structure Telegram Input ↓ Switch (Route by type) ↓ ├─ New Job Post │ ↓ │ Send Chat Action (typing...) │ ↓ │ PayloadForReply (Build AI request) │ ↓ │ Generating Reply (Call OpenAI) │ ↓ │ FormatAiReply (Parse JSON) │ ↓ │ Store AI Reply (Redis cache) │ ↓ │ SendConfirmation (Show preview) │ └─ Callback (User clicked "Send") ↓ GetValues (Fetch from Redis) ↓ Format Response ↓ Download Resume (from Drive) ↓ ├─ Path A: Immediate Send │ ↓ │ Send Confirmation Message │ ↓ │ Edit Message (update status) │ └─ Path B: Scheduled Send ↓ Wait (10 seconds) ↓ Download Resume Again ↓ Schedule Email (Gmail) ↓ Send Success Message 💡 Tips for Best Results High-Quality Resume: Upload a well-formatted PDF resume Clear Screenshots: Take clear, readable job post screenshots Use Captions: Add instructions via Telegram captions Example: "make it more casual" Example: "send to [email protected]" Review Before Sending: Always read the draft before clicking send Update Resume Regularly: Keep your Google Drive resume current Test First: Try with a few test jobs before mass applying 🆘 Need Help? 📚 n8n Documentation 💬 n8n Community Forum 📺 n8n YouTube Channel 🤖 OpenAI Documentation 📱 Telegram Bot API Docs 📝 Checklist Use this checklist to verify your setup: [ ] OpenAI resume file uploaded (got file_id) [ ] Google Drive resume uploaded (got file ID) [ ] Telegram bot created (got bot token) [ ] Redis instance created (got credentials) [ ] All n8n credentials created and tested [ ] PayloadForReply node updated with OpenAI file_id [ ] Both Download Resume nodes updated with Drive file_id [ ] All nodes have credentials assigned [ ] Workflow activated [ ] Test message sent successfully [ ] Test email received successfully 🎉 You're all set! Start applying to jobs in 10 seconds! Made with ❤️ and n8n

Who Is This For? This workflow is designed for marketers, content creators, agencies, and solo founders who want to publish long‑form posts with visuals on autopilot using n8n and AI agents. ​ Whether you run a blog, SaaS, personal brand, newsletter, or client accounts, this tool helps you keep a consistent content pipeline without manually writing every article, creating images, and posting to each platform one by one. ​ ​ 💪🏼 While the template is wired around classic blog + social media distribution, the underlying logic is universal. You can easily adapt it to any niche by editing prompts, swapping models, and re‑wiring nodes. You can plug in any LLM you like, from ChatGPT to Claude, Gemini, Mistral, DeepSeek, OpenRouter, or even local models through Ollama. ​ What Problem Is This Workflow Solving? 🤯 Most teams waste hours on the same repetitive loop: research a topic, gather links, write a blog post, craft social captions, generate visuals, upload everything to multiple platforms, and archive assets. ​ ​ 💎 This workflow solves that by automating the full content chain—from research and blog‑post generation to image creation, publishing across channels, and logging everything in your content database—so your feeds stay active while you focus on strategy, not busywork. ​ What This Workflow Does ✨ Generates in‑depth blog posts tailored to your topic and target audience, enriched with fresh references from the web via Tavily/SerpAPI search tools. ​ ✨ Creates an image prompt and title from the article, generates the visual with OpenAI Images (gpt-image-1), and converts it into a ready‑to‑use image file. ​ ✨ Automatically publishes content to your connected platforms (WordPress for blog posts, Telegram, X/Twitter, Facebook, LinkedIn) while saving images to Google Drive and logging each publication in Google Sheets for tracking. ​ How It Works? Surprisingly simple ☺️ The workflow is triggered by another n8n workflow or by one of several triggers (Facebook, RSS, Google Sheets, Airtable, Postgres) that pass in the blogTopic, targetAudience, and Telegram chatID. ​ ​ The Blog Post Agent (LLM with access to Tavily/SerpAPI) researches the topic, writes a structured article for the specified audience, and sends its output to the Image Prompt Agent, which turns the content into a visual prompt and title. ​ 🎯 The end result: you provide a topic, run the workflow, and receive a complete blog post, matching image, and ready‑made social posts shipped directly to your channels and archives—no manual copy‑paste. ​ How to Customize This Workflow to Your Needs 🎨 Switch AI models and fine‑tune prompts so the agent can handle your exact formats: tutorials, case studies, listicles, product updates, thought‑leadership pieces, or campaign landing posts. 🔍 Refine research sources inside Tavily/SerpAPI to prioritize the domains, blogs, and docs your audience trusts, keeping posts accurate and up to date. ⏰ Adjust posting cadence and schedules to align with peak engagement for your audience, mixing automated slots with manual “launch” runs for special announcements. 📱 Expand or trim channels as needed: keep just WordPress + LinkedIn, add Telegram as a content feed, or plug the workflow into additional automations like email campaigns or RSS feeds. 📊 Use Google Sheets as your content hub to store ideas, angles, CTAs, references, and performance notes so you can double‑down on topics and formats that perform best. 🎬 Swap images for video by replacing the image generation node with video tools (for example, Runway‑style APIs) if your strategy is video‑first while keeping the same prompt pipeline. 💾 Build a reusable prompt library in Sheets, Notion, or Airtable so you can rotate proven prompt patterns each month and keep quality high without reinventing the wheel. 🤖 The system will continuously generate blog posts, visuals, and social updates and publish them across your selected platforms while archiving everything in Drive and Sheets—keeping your brand visible, consistent, and professional with minimal ongoing effort.

Build an AI HR Assistant to Screen Resumes and Send Telegram Alerts A step-by-step guide to creating a fully automated recruitment pipeline that screens candidates, generates interview questions, and notifies your team. This template provides a complete, step-by-step guide to building an AI-powered HR assistant from scratch in n8n. You will learn how to connect a web form to an intelligent screening agent that reads resumes, evaluates candidates against your job criteria, and prepares unique interview questions for the most promising applicants. | Services Used | Features | | :---------------------------------------------- | :----------------------------------------------------------------------------- | | 🤖 OpenAI / LangChain | Uses AI Agents to screen, score, and analyze candidates. | | 📄 Google Drive & Google Sheets | Stores resumes and manages a database of open positions and applicants. | | 📥 n8n Form Trigger | Provides a public-facing web form to capture applications. | | 💬 Telegram | Sends real-time alerts to the hiring team for qualified candidates. | How It Works ⚙️ 📥 Application Submitted: The workflow starts when a candidate fills out the n8n Form Trigger with their details and uploads their CV. 📂 File Processing: The CV is automatically uploaded to a specific Google Drive folder for record-keeping, and the Extract from File node reads its text content. 🧠 AI Screening Agent: A LangChain Agent analyzes the resume text. It uses the Google Sheets Tool to look up the requirements for the applied role, then scores the candidate and decides if they should be shortlisted. 📊 Log Results: The agent's decision (name, score, shortlisted status) is logged in your master "Applications" Google Sheet. ✅ Qualification Check: An IF node checks if the candidate was shortlisted. ❓ AI Question Generator: If shortlisted, a second LangChain Agent generates three unique, relevant interview questions based on the candidate's resume and the job description. ✍️ Update Sheet: The generated questions are added to the candidate's row in the Google Sheet. 🔔 Notify Team: A final alert is sent via Telegram to notify the HR team that a new candidate has been qualified and is ready for review. 🛠️ How to Build This Workflow Follow these steps to build the recruitment assistant from a blank canvas. Step 1: Set Up the Application Intake Add a Form Trigger node. Configure it with fields for Name, Email, Phone Number, a File Upload for the CV, and a Dropdown for the "Job Role". Connect a Google Drive node. Set the Operation to Upload and connect your credentials. Set it to upload the CV file from the Form Trigger into a specific folder. Add an Extract from File node. Set it to extract text from the PDF CV file provided by the trigger. Step 2: Build the AI Screening Agent Add a Langchain Agent node. This will be your main screening agent. In its prompt, instruct the AI to act as a resume screener. Tell it to use the input text from the Extract from File node and the tools you will provide to score and shortlist candidates. Add an OpenAI Chat Model node and connect it to the Agent's Language Model input. Add a Google Sheets Tool node. Point it to a sheet with your open positions and their requirements. Connect this to the Agent's Tool input. Add a Structured Output Parser node and define the JSON structure you want the agent to return (e.g., candidate_name, score, shortlisted). Connect this to the Agent's Output Parser input. Step 3: Log Results & Check for a Match Connect a Google Sheets node after the Agent. Set its operation to Append or Update. Use it to add the structured output from the agent into your main "Applications" sheet. Add an IF node. Set the condition to continue only if the shortlisted field equals "yes". Step 4: Generate Interview Questions On the 'true' path of the IF node, add a second Langchain Agent node. Write a prompt telling this agent to generate 3 interview questions based on the candidate's resume and the job requirements. Connect the same OpenAI Model and Google Sheets Tool to this agent. Add another Google Sheets node. Set it to Update the existing row for the candidate, adding the newly generated questions. 💬 Need Help or Want to Learn More? Join my Skool community for n8n + AI automation tutorials, live Q&A sessions, and exclusive workflows: 👉 https://www.skool.com/n8n-ai-automation-champions Template Author: Sandeep Patharkar Category: Website Chatbots / AI Automation Difficulty: Beginner Estimated Setup Time: ⏱️ 15 minutes

This n8n workflow automates the process of transcribing a voice message received via Telegram, summarizing the transcription using an AI model, and then saving both the transcription and the summary to separate Google Docs in Google Drive. Here's a breakdown of the workflow: Telegram Trigger**: The workflow is initiated when a new message is received on Telegram. Telegram Node**: It retrieves the voice message file from Telegram using the file_id from the incoming message. OpenAI Node**: The retrieved voice file is then sent to OpenAI for transcription. Google Drive (for Transcription)**: The transcribed text is saved as a new Google Doc with the current time as its name in a Google Drive folder named "N8N Transcribes". AI Agent: The transcribed text is sent to an AI Agent (connected to a DeepSeek Chat Model) to generate a plain text summary. The prompt for the summary is set to "Generate A summary description from this Telegram message. Don't use * or anything that emulates rich text. The description should be in plain text Expand on the title so that the description can be used in a report to my supervisor. Only provide one summary. Do not label it *Summary*, I already know it's a summary. Thanks.:{{ $json.text }}". Google Drive (for Summary)**: The generated summary is then saved as a new Google Doc with the current time as its name in a Google Drive folder named "N8N Summaries". In essence, this workflow allows users to send a voice message to a Telegram bot, and automatically get both a transcription and a summary of that message saved as separate documents in their Google Drive.

Multi-Platform AI Sales Agent with RAG, CRM Logging & Appointment Booking This workflow acts as a 24/7 sales agent, engaging leads across WhatsApp, Instagram, Facebook, Telegram, and your website. It intelligently transcribes audio messages, answers questions using a knowledge base, and uses modular sub-workflows to manage your CRM in Airtable and book appointments in Google Calendar. Who Is It For? This solution is designed for service-based businesses that require a sophisticated, multi-channel lead management and appointment booking system. Agencies, consultants, and clinics** looking to automate lead qualification and booking across text and voice messages. Sales teams** needing a robust system that separates CRM and calendar logic for easier management and scalability. Advanced n8n users** who want a powerful, agent-based framework that can be easily customized and extended. Key Features & Workflow This system is composed of a parent workflow that orchestrates the conversation and calls specialized sub-workflows (agents) to perform specific tasks. Omni-Channel Engagement:* Greets and converses with leads naturally on Website Chat, WhatsApp, Instagram, Facebook, and Telegram*. Voice Message Transcription:* Automatically transcribes incoming audio/voice notes from WhatsApp and Telegram* into text, allowing the AI to understand and respond without manual intervention. RAG-Powered Intelligence:* The AI agent draws answers from your dedicated PostgreSQL Knowledge Base (RAG)*, providing accurate information about your services, pricing, and process. A built-in tool allows you to load new knowledge documents from Google Drive. Modular CRM Agent (Sub-Workflow):* When the conversation requires CRM actions (like creating a contact or updating an opportunity), the main agent calls a dedicated Airtable CRM sub-workflow* to handle the task. Modular Calendar Agent (Sub-Workflow):* To book appointments, the main agent calls a separate Google Calendar sub-workflow*, which manages event creation, updates, and deletions. What You'll Need This workflow framework requires credentials for the following services: An AI provider (OpenAI is used for the main agent, transcription, and embeddings). PostgreSQL** database with the pgvector extension (for RAG and chat memory). Airtable** account (for the CRM sub-workflow). Google Calendar** account (for the Calendar sub-workflow). Telegram Bot** credentials. A Meta Developer Account (for WhatsApp, Instagram & Facebook). (Optional) Google Drive for loading knowledge documents. (Optional) Google Gemini for embeddings. How to Set It Up This is a modular system. You must set up the sub-workflows first. Deploy Sub-Workflows: Create two new, separate workflows using the provided templates for the CRM Agent and the Calendar Agent. Configure the credentials (Airtable, Google Calendar) within those workflows, then save and activate them. Link Sub-Workflows in Main Workflow: Return to this main workflow. In the "CRM Agent" and "Consultation Agent" tool nodes, select the new workflows you just created from the dropdown list. Configure Main Credentials: Securely add the remaining credentials (OpenAI, PostgreSQL, Telegram, and your Meta App) in this main workflow. Personalize the AI Agent: In the "Update Agent Details" node, fill in your business name, the agent's persona name, and your key services to customize the AI's personality. Load Your Knowledge (Optional): To populate the RAG database, use the manual trigger path starting with "When clicking ‘Execute workflow’" to download a document from Google Drive and insert it into your PostgreSQL vector store. Activate: Configure your channel-specific details (e.g., Phone Number ID in WhatsApp nodes), save the workflow, and activate it. Demo CRM Table: View on Airtable

This n8n workflow is designed to automate the aggregation, processing, and reporting of community statistics related to n8n creators and workflows. Its primary purpose is to generate insightful reports that highlight top contributors, popular workflows, and key trends within the n8n ecosystem. Here's how it works and why it's important: How It Works Data Retrieval: The workflow fetches JSON data files from a GitHub repository containing statistics about creators and workflows. It uses HTTP requests to access these files dynamically based on pre-defined global variables. Data Processing: The data is parsed into separate streams for creators and workflows. It processes the data to identify key metrics such as unique weekly and monthly inserters/visitors. Ranking and Filtering: The workflow sorts creators by their weekly inserts and workflows by their popularity. It selects the top 10 creators and top 50 workflows for detailed analysis. Report Generation: Using AI tools like GPT-4 or Google Gemini, the workflow generates a Markdown report summarizing trends, contributors, and workflow statistics. The report includes tables with detailed metrics (e.g., unique visitors, inserters) and insights into why certain workflows are popular. Distribution: The report is saved locally or uploaded to Google Drive. It can also be shared via email or Telegram for broader accessibility. Automation: A schedule trigger ensures the workflow runs daily or as needed, keeping the reports up-to-date. Why It's Important Community Insights**: This workflow provides actionable insights into the n8n community by identifying impactful contributors and popular workflows. This fosters collaboration and innovation within the ecosystem. Time Efficiency**: By automating data collection, processing, and reporting, it saves significant time and effort for community managers or administrators. Recognition of Contributors**: Highlighting top creators encourages engagement and recognizes individuals driving value in the community. Trend Analysis**: The workflow helps uncover patterns in usage, enabling better decision-making for platform improvements or feature prioritization. Scalability**: With its modular design, this workflow can be easily adapted to include additional metrics or integrate with other tools.

How it works This workflow creates an intelligent document assistant called "Mookie" that can answer questions based on your uploaded documents. Here's how it operates: Document Ingestion:** The system can automatically load PDF files from Google Drive or accept PDFs uploaded directly through Telegram, then processes and stores them in a PostgreSQL vector database using Mistral embeddings Smart Retrieval:** When users ask questions via Telegram or a web chat interface, the AI agent searches through the stored documents to find relevant information using vector similarity matching Contextual Responses:** Using GPT-4 and the retrieved document context, Mookie provides accurate answers based solely on the ingested documents, avoiding hallucination by refusing to answer questions not covered in the stored materials Memory & Conversation:** The system maintains conversation history for each user, allowing for natural follow-up questions and contextual discussions Set up steps Estimated setup time: 30-45 minutes You'll need to configure several external services and credentials: Set up a PostgreSQL database with PGVector extension for document storage Create accounts and API keys for Azure OpenAI (GPT-4), Mistral Cloud (embeddings), and Google Drive access Connect your own LLM's if you don't have these credentials. Configure a Telegram bot and obtain API credentials for chat functionality Update webhook URLs throughout the workflow to match your n8n instance Test the document ingestion pipeline with sample PDFs Verify the chat interfaces (both Telegram and web) are responding correctly >The workflow includes approval mechanisms for PDF ingestion and handles both automated bulk processing from Google Drive and real-time document uploads through Telegram. Read the sticky notes provided in the template code for clear instructions.

🧠 Gwen – The AI Voice Marketing Agent Gwen is your intelligent voice-powered marketing assistant built in n8n. She combines the power of OpenAI, ElevenLabs, and automation workflows to handle content creation, image generation, and voice delivery — all from a single agent interface. This template shows a graphical illustration of how Gwen will work with subworkflows. These subworkflows are modular placeholders and need to be linked into Gwen for full deployment. ✨ What Gwen Can Do 📝 Generate Voice-Optimized Blog Posts Tailored for your target audience with engaging intros, real-time research, and polished structure. 🖼️ Create AI-Generated Visuals From simple concepts to detailed image prompts and Google Drive uploads. 🧑‍🎨 Edit Images On Demand Modify past images with a few words — powered by OpenAI's image editing API. 🔍 Search Image Database Quickly find past content using title or intent. 🧠 Think Tool Gwen uses this to clarify uncertain tasks or analyze complex requests. 🔊 Deliver Results in Natural Voice With ElevenLabs, Gwen transforms all responses into human-like audio, perfect for marketing, social content, or voice interfaces. 🛠️ Setup Instructions Estimated Time: 15–30 mins ✅ Step 1: Subworkflows Import These Workflows Blog Post, Create Image, Edit Image, Search Images Connect Them to Gwen Assign as tools inside the Gwen agent node (Langchain AI Agent in n8n). 🎙️ Step 2: Enable ElevenLabs Voice Agent Sign up or log in: https://try.elevenlabs.io Copy your API key In the ElevenLabs interface, create a new tool: Method: POST URL: https://your-n8n-domain/webhook/042cc868-28b7-42a2-ab65-bc2944fc5a54 Under Body Parameters, add: prompt → value type: LLM Prompt sessionId → value type: Dynamic variable, name: system__conversation_id Save and connect this tool to your ElevenLabs agent Run a test and check n8n execution logs to confirm Gwen’s voice integration is active 🔐 Step 3: Credentials to Set OpenAI – For text and image generation ElevenLabs – For voice output Tavily – For real-time research in blog generation Telegram – For sending content to users Google Sheets – To log all outputs like blogs and images