Google Drive and YouTube integration

The Problem That it Solves Uploading music manually to YouTube is a chore. Renaming files, filling metadata, picking the right playlist, adding keywords, and scheduling the release can eat up your creative time. This workflow removes the busy work so you can focus on making tracks instead of managing uploads. How it works Drop an MP3 into your shared Google Drive “Audio” folder and walk away. The workflow detects the new file, grabs the genre from the filename based on a set of keywords, uses the genre to map to cover art styles, and YouTube playlists, generates the description and tags for YouTube metadata, and schedules and posts to YouTube channel, while sending messages to discord for updates.

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]

Automated Video Creation Workflow Using n8n This workflow automates the creation and publishing of animated videos based on ideas listed in a Google Sheet. It processes one idea at a time, generating text prompts, images, animations, sound effects, and merging them into a final video before uploading it to YouTube. Table of Contents Pre-conditions and Requirements Google Sheets Setup Step-by-Step Workflow Explanation Customization Guide Pre-conditions and Requirements API Keys Required To run this workflow, you'll need API access to the following services: Anthropic Claude or Google Gemini** (for text prompt generation) Flux AI** (RapidAPI) (for AI-generated images) RunwayML** (API Documentation) (for AI video animation) ElevenLabs** (for AI-generated voiceovers and sound effects) Creatomate** (Website) (for video/audio merging and rendering) YouTube API** (for video upload and posting) n8n Instance Setup Use cloud (n8n.io) or Install and run n8n (Official Guide) Set up credentials for each API in n8n’s settings Google Sheets Setup Before running the workflow, ensure your Google Sheet is structured as follows: | Column Name | Description | |------------------|----------------| | title | Video title (e.g., "Elijah's Fiery Chariot") | | bibleverse | Corresponding Bible verse reference | | idea | Brief description of the scene | | style | Animation style (e.g., cinematic, vibrant, etc.) | | caption | Suggested caption for social media | | videoStatus | Status of video creation (To Do, Created) | | publishStatus| Publishing status (Not Processed, Processed) | Step-by-Step Workflow Explanation Extract an Idea from Google Sheets The workflow retrieves the first row where videoStatus = "To Do". Marks it as Processing to avoid duplicate processing. Generate a Prompt for AI Image Creation and Sound Effects/Audio Uses Anthropic Claude or Google Gemini to generate prompts. Generate an AI Image with Flux AI Sends the prompt to Flux AI to create a high-quality image. Animate the Image Using RunwayML The generated image is sent to RunwayML, which animates the image. Generate Sound Effects and Voiceover with ElevenLabs ElevenLabs produces a realistic narration based on the video content. Background sound effects (e.g., storm sounds, fire crackling) are also generated. Merge Video and Audio Using Creatomate Creatomate** compiles the animated video with the audio. Upload and Publish to YouTube The finalized video is automatically uploaded to YouTube using the YouTube API. Update Google Sheet Status Marks videoStatus as Created. Marks publishStatus as Processed. Customization Guide Modifying the Animation Style Update the style column in Google Sheets with custom animation preferences (e.g., cinematic, slow-motion). Modify the prompt generation step in n8n to incorporate different styles. Changing the Video Length Adjust the RunwayML settings to control animation speed and length. Modify the Creatomate rendering step to adjust clip duration. Adding Subtitles Modify the Creatomate step to include AI-generated subtitles from ElevenLabs' text output. Publishing to Other Platforms Add additional steps to post to TikTok, Instagram, or Facebook using their respective APIs. This workflow ensures a fully automated video creation pipeline, reducing manual effort and optimizing content production. 🚀

POV Faceless Video Generator Create viral POV-style faceless videos automatically — from topic → visuals → sounds → rendered video → upload. This workflow is built for creators, YouTubers, automation agencies, and content studios that want to scale short-form content production without showing their face. 🧾 Overview This n8n automation takes a video topic as input and generates: Titles Scripts Visuals AI video clips Background audio Final rendered POV-style faceless video A Publishing Agent module can even upload the final output directly to YouTube. Everything — prompts, images, videos, audio, transitions, and uploads — is generated end-to-end with zero manual editing. ⚙️ Key Features 🎯 Topic-based generation → Just input your niche or daily idea ✍️ LLM-generated scripts & prompts using high-quality OpenAI models 🖼️ AI visual generation (image & video clips) 🔊 Text-to-speech narration with MP3 export 🎬 Automated video renderer (assemble clips, audio & overlays) 📤 Auto-upload to YouTube via Publishing Agent 🧱 Modular design — easily replace or upgrade image/video/sound models 🧱 Workflow Breakdown 1️⃣ INPUT: Video Topic Nodes: Schedule Trigger / Google Sheets → pull new topics automatically Generate Titles → produces 5–10 title variations OpenAI Model → Title Parser → formats selected title This section generates the creative foundation for the entire video. 2️⃣ Generate Prompts (Script & Shot List) Produces: A cinematic POV-style script Camera directions Image prompts Video prompts All outputs are optimized for AI image/video generators. Uses: OpenAI / OpenRouter LLM 3️⃣ Generate Images (AI Art Module) Nodes: Text-to-Image Wait Get Image Generates multiple POV-style still images (hands, walking scenes, object interactions). Good for: Intro shots Cutaways Thumbnails 4️⃣ Generate Videos (AI Video Clips) Nodes: Image-to-Video / Prompt-to-Video Wait Get Video Creates 3–6 second POV clips for each step in the script. Examples: Walking through a hallway Opening a door Typing Grabbing an object All clips flow into the rendering module. 5️⃣ Generate Sounds (Narration + Background Audio) Nodes: Text-to-Speech Upload MP3 Update Access This module handles: Full voiceover narration Ambient background audio / SFX Preparing audio files for final video rendering 6️⃣ OUTPUT: Final Video Assembly Nodes: Merge List Elements Render Video Final Video Link This stage assembles: AI-generated clips Narration audio Background ambiance Text overlays Intro/outro elements Outputs a polished MP4 file ready for publishing. 7️⃣ Publishing Agent (YouTube Auto-Upload) Nodes: Schedule Trigger → Get Video Link Get Video File YouTube Upload This module: Pulls the latest generated videos Uploads automatically to your YouTube channel Supports title, description, tags, visibility, thumbnails Perfect for scheduled daily posting 🧰 Setup Instructions Connect OpenAI / OpenRouter One credential for script/prompt generation Another optional credential for image/video models Choose your AI image/video providers Compatible with: DALL·E Midjourney API Stability RunwayML Pika Luma Dream Machine Flux models Connect Google Sheets (optional) For: Topic management Content tracking Enable YouTube OAuth Required for auto-upload. Customize styles: POV type Video duration Voice style Background music Prompt templates Run a test to confirm all connections and render timing. 🧩 Customization Options | Goal | How to Modify | | ---------------------------- | ------------------------------------------------------ | | Change POV style | Edit prompt templates in “Generate Prompts” | | Use different video model | Replace video nodes (Pika, RunwayML, Luma, Flux, etc.) | | Add subtitles | Use Whisper/OCR + FFmpeg overlays | | Add transitions | Add FFmpeg transitions in Render Video | | Generate vertical videos | Set output to 1080×1920 | | Auto-publish to Shorts/Reels | Duplicate Publishing Agent and configure platforms | 🧠 Example Use Case A faceless creator wants to upload daily POV Motivation or POV Business Advice videos. The workflow generates: Titles Visuals Voiceover Full edit YouTube upload 100% automated — no editing required. ✅ Benefits Produce 10× more faceless videos daily Fully automated end-to-end pipeline Consistent POV aesthetic No camera or studio required Instant upload to YouTube Ideal for agencies selling bulk video packages Perfect for Shorts, Reels, TikTok & YouTube videos

This automated n8n workflow converts any technical documentation or blog post URL into a professional, step-by-step developer tutorial video complete with AI-generated narration, code syntax highlighting, terminal command animations, and visual diagrams. The system intelligently analyzes documentation structure, extracts code examples, generates natural voiceover narration, creates synchronized visual scenes, and automatically publishes the finished video to YouTube with SEO-optimized descriptions. Fundamental Aspects Webhook-Based Trigger**: Accepts HTTP POST requests containing a documentation URL to initiate the automated video creation pipeline on-demand. Intelligent Content Extraction**: Fetches HTML content, parses documentation structure, extracts code blocks with language detection, identifies headings for organization, and cleans irrelevant elements like navigation and scripts. AI-Powered Tutorial Planning**: Uses Claude AI to analyze documentation content and generate a comprehensive tutorial outline including section titles, duration estimates, narration scripts, visual types (code/terminal/diagram), and learning outcomes. Professional Audio Generation**: Converts narration scripts into high-quality audio using Google Cloud Text-to-Speech with natural-sounding neural voices, proper pacing, and timing synchronization. Dynamic Visual Scene Creation**: Generates code editor scenes with syntax highlighting and typewriter effects, terminal animations with command execution sequences, flowchart diagrams with progressive reveals, and text overlays with key points. Automated Video Rendering**: Combines audio narration with visual scenes using Remotion API to render publication-ready videos in 1080p resolution at 30fps with smooth transitions. Multi-Platform Distribution**: Automatically uploads completed videos to YouTube with AI-generated titles and descriptions, backs up to Google Drive for archival, and returns comprehensive metadata via webhook response. Setup Instructions Import the Workflow into n8n**: Download the workflow JSON file and import via n8n interface under "Workflows" → "Import from File" option. Configure Claude AI (Anthropic) Credentials**: Navigate to the "Analyze with Claude AI" node and click the credentials dropdown. Create new Anthropic credentials using your API key from console.anthropic.com. Ensure you have access to Claude Sonnet 4 model (claude-sonnet-4-20250514). Save and test the connection to verify API access. Set Up Google Cloud Text-to-Speech**: Go to Google Cloud Console and enable the Text-to-Speech API. Create a service account with "Cloud Text-to-Speech User" role. Generate and download a JSON key file for the service account. In n8n, navigate to "Generate Audio with Google TTS" node and add service account credentials. Upload the JSON key file when prompted. Configure Remotion API for Video Rendering**: Sign up for a Remotion account at remotion.dev and obtain API credentials. In the "Render Video with Remotion" node, add HTTP Header Auth credentials. Set authorization header with your Remotion API key. Ensure you have a Remotion composition named "TutorialVideo" deployed. Note: You may need to create a custom Remotion project for code highlighting and terminal animations. Add YouTube OAuth2 Credentials**: Navigate to "Upload to YouTube" node and create YouTube OAuth2 credentials. Follow Google's OAuth flow to authorize n8n to upload videos on your behalf. Ensure your YouTube account has upload permissions and is verified for videos longer than 15 minutes. Configure default privacy settings (public, unlisted, or private) in node parameters. Configure Google Drive Backup**: Go to "Backup to Google Drive" node and add Google Drive OAuth2 credentials. Authorize n8n to access your Google Drive. Optionally specify a folder ID in node options to organize video backups. Activate Webhook Endpoint**: Activate the workflow using the toggle switch in the top-right corner. Copy the webhook URL from the "Webhook Trigger" node (appears after activation). The URL will be in format: https://your-n8n-instance.com/webhook/create-video. Test the Workflow**: Send a test POST request to the webhook URL using curl, Postman, or HTTPie: curl -X POST https://your-n8n-instance.com/webhook/create-video \ -H "Content-Type: application/json" \ -d '{"documentationUrl": "https://docs.example.com/getting-started"}' Monitor the execution in n8n's "Executions" tab to track progress through each node. Check YouTube and Google Drive for the generated video (processing may take 5-15 minutes depending on content length). Verify Output Quality**: Review the generated video for audio quality, code highlighting accuracy, and pacing. Check YouTube description for proper formatting of prerequisites and learning outcomes. Ensure code snippets are readable and terminal animations are properly synchronized. Technical Dependencies Claude AI (Anthropic)**: For intelligent content analysis, tutorial outline generation, section structuring, and narration script writing with natural language processing. Google Cloud Text-to-Speech**: For converting narration scripts into professional-quality audio with neural voice models (en-US-Neural2-J recommended for technical content). Remotion API**: For programmatic video rendering, scene composition, code syntax highlighting, terminal animations, and transition effects (requires custom React components). YouTube Data API v3**: For automated video uploads, metadata management, thumbnail generation, and playlist organization. Google Drive API**: For backup storage, file sharing, and archival of raw video files with organized folder structures. n8n Platform**: For workflow orchestration, webhook handling, conditional logic, error handling, and execution monitoring. JavaScript Runtime**: For custom content parsing, JSON manipulation, code language detection, timing calculations, and data transformation in Code nodes. Customization Possibilities Voice Customization**: Change narrator voice in "Generate Narration Script" node by modifying the voice parameter. Google TTS offers multiple voices (male, female, different accents). Adjust speed (0.25-4.0) and pitch (-20 to +20) for different pacing styles. Use different voices for intro/outro vs main content. Video Branding**: Add custom intro/outro animations by modifying Remotion composition. Include your logo, channel name, and subscribe animations. Customize color schemes in code editor themes (Dracula, Monokai, Solarized, One Dark). Add watermarks or corner branding throughout video. Code Editor Themes**: Change syntax highlighting themes in "Create Visual Scenes" node. Popular options include Dracula (default), VS Code Dark+, GitHub Light, Monokai Pro, Nord. Adjust font sizes, line spacing, and highlighting animation speeds for readability. Content Filtering**: Add pre-processing logic to filter specific documentation sections. Skip changelog entries, API reference tables, or installation instructions if not needed. Focus on tutorial-style content only. Add minimum/maximum content length thresholds. Multi-Language Support**: Extend the workflow to detect documentation language and use appropriate TTS voices. Support Spanish (es-ES), French (fr-FR), German (de-DE), Japanese (ja-JP), and other languages. Generate localized titles and descriptions. Advanced Visual Types**: Add screen recording capabilities for live demonstrations. Include animated flowcharts using Mermaid or D3.js. Generate architecture diagrams from code structure. Add picture-in-picture video of an instructor or animated avatar. Tutorial Complexity Detection**: Use Claude AI to assess documentation difficulty level and adjust pacing accordingly. Beginner content gets slower narration and more detailed explanations. Advanced content can move faster with less repetition. Interactive Elements**: Generate timestamp chapters for YouTube with clickable sections. Create accompanying blog post or GitHub repository with code examples. Generate quiz questions based on content for learning validation. Quality Assurance**: Add validation nodes to check video quality before upload. Verify audio levels are balanced, code is readable at 1080p, and total duration matches expectations. Implement retry logic for failed renders. Batch Processing**: Extend webhook to accept multiple URLs for bulk video generation. Create playlists automatically for related documentation pages. Schedule sequential uploads to avoid flooding your channel. Analytics Integration**: Track video performance by connecting to YouTube Analytics API. Monitor view counts, engagement rates, and audience retention. Use insights to improve future video generation parameters. Cost Optimization**: Implement caching for previously processed documentation URLs to avoid redundant API calls. Use cheaper TTS voices for internal testing. Compress videos before upload while maintaining quality. Set API rate limits to control costs. Custom Remotion Components**: Build specialized React components for your tech stack (e.g., database schema visualizers, API request/response animations, deployment pipeline diagrams). Create reusable templates for common tutorial patterns. Notification System**: Add email or Slack notifications when videos complete processing. Include video URLs, processing time, and any errors encountered. Send daily summaries of generated videos. SEO Enhancement**: Use Claude AI to generate SEO-optimized titles, descriptions, and tags. Research trending keywords in your niche. Auto-generate closed captions and subtitles for accessibility and searchability. Explore More AI Video Automation: Contact us to design custom video automation workflows for product demos, educational content, marketing videos, or AI-powered content creation pipelines tailored to your business needs.

A production-ready n8n workflow that generates AI avatar videos from images and text using VEED Fabric 1.0, with flexible multi-platform publishing capabilities. Key Capabilities Unlimited Scale Process any number of videos**: Sequential processing ensures each video is fully generated and published before moving to the next Batch processing**: Add multiple video requests to Google Sheet and let the workflow process them automatically No context mixing**: Each video maintains its own configuration throughout the entire pipeline Flexible Publishing Per-video platform selection**: Each video can target different platforms (e.g., Video 1 → Instagram+YouTube, Video 2 → Telegram only) Optional publishing**: Leave PLATFORMS column empty to generate videos without publishing (videos saved to Drive) Supported platforms**: Instagram Reels, YouTube/Shorts, Facebook, Telegram, Threads Platform-specific formatting**: Automatic optimization for each platform's requirements Smart Processing Two TTS providers**: Choose OpenAI or ElevenLabs per video Configurable quality**: Select resolution (480p/720p) and aspect ratio (9:16, 16:9, 1:1) per video Approval workflow**: Review videos before publishing with email approve/reject buttons Error handling**: Automatic error detection with detailed email notifications Status Tracking Real-time status updates**: Google Sheet updates as workflow progresses (new → processing → published) Detailed results**: Per-platform success/failure tracking with post URLs Email reports**: Comprehensive publishing reports with links to all posted content How It Works Input: Add rows to Google Sheet with video details TTS: Generate speech using OpenAI or ElevenLabs Video: VEED Fabric 1.0 creates talking head video Approval: Email with video preview and approve/reject buttons Publish: Sequential publishing to selected platforms Report: Status update in sheet + email with results Requirements Fal.ai API Key (for VEED) Google OAuth (Sheets, Drive, Gmail) TTS: OpenAI or ElevenLabs API Key Social Media credentials (optional, only for platforms you use) Telegram Bot Token (optional, only for Telegram) Node: n8n-nodes-veed Author: VEED.io

This n8n template demonstrates how to automate YouTube content repurposing using AI. Upload a video to Google Drive and automatically generate transcriptions, A/B testable titles, AI thumbnails, short-form clips with captions, and YouTube descriptions with chapter timestamps. Use cases include: Content creators who publish 1-2 long-form videos per week and need to extract 5-10 short-form clips, YouTube agencies managing multiple channels, or automation consultants building content systems for clients. Good to know Processing time is approximately 10-15 minutes per video depending on length Cost per video is roughly $1.00 (transcription $0.65, AI generation $0.35) YouTube captions take 10-60 minutes to generate after upload - the workflow includes automatic polling to check when captions are ready Manual steps still required: video clipping (using provided timestamps), social media posting, and YouTube A/B test setup How it works When a video is uploaded to Google Drive, the workflow automatically triggers and creates an Airtable record The video URL is sent to AssemblyAI (via Apify) for transcription with H:MM:SS.mmm timestamps GPT-4o-mini analyzes the transcript and generates 3 title variations optimized for A/B testing When you click "Generate thumbnail" in Airtable, your prompt is optimized and sent to Kie.ai's Nano Banana Pro model with 2 reference images for consistent branding After uploading to YouTube, the workflow polls YouTube's API every 5 minutes to check if auto-generated captions are ready Once captions are available, click "Generate clips" and Grok 4.1 Fast analyzes the transcript to identify 3-8 elite clips (45+ seconds each) with proper start/end boundaries and action-oriented captions GPT-4o-mini generates a YouTube description with chapter timestamps based on the transcript All outputs are saved to Airtable: titles, thumbnail, clip timestamps with captions, and description How to use Duplicate the provided Airtable base template and connect it to your n8n instance Create a Google Drive folder for uploading edited videos After activating the workflow, copy webhook URLs and paste them into Airtable button formulas and automations Upload your edited video to the designated Google Drive folder to trigger the system The workflow automatically generates titles and begins transcription Add your thumbnail prompt and 2 reference images to Airtable, then click "Generate thumbnail" Upload the video to YouTube as unlisted, paste the video ID into Airtable, and check the box to trigger clip generation Use the provided timestamps to manually clip videos in your editor Copy titles, thumbnail, clips, and description from Airtable to publish across platforms Requirements Airtable account (Pro plan recommended for automations) Google Drive for video upload monitoring Apify account for video transcription via AssemblyAI actor OpenAI API key for title and description generation (GPT-4o-mini) OpenRouter API key for clip identification (Grok 4.1 Fast) Kie.ai account for AI thumbnail generation (Nano Banana Pro model) YouTube Data API credentials for caption polling Customising this workflow Tailor the system prompts to your content niche by asking Claude to adjust them without changing the core structure Modify the clip identification criteria (length, caption style, number of clips) in the Grok prompt Adjust thumbnail generation style by updating the image prompt optimizer Add custom fields to Airtable for tracking performance metrics or additional metadata Integrate with additional platforms like TikTok or Instagram APIs for automated posting

More workflow: https://aitool.wiki/ Auto Video Merge & Social Upload Automation An end-to-end workflow for generating, merging, and publishing short-form inspirational videos across YouTube, TikTok, Instagram, Threads, X, and Facebook. 📌 Overview: This workflow automates the entire video production and publishing pipeline. It takes random quotes, background videos, and background music from Google Sheets & Google Drive, merges them into a final video using an API, uploads the output to multiple social platforms, and updates the content tracking sheet automatically. Perfect for creators who publish motivational or short-form content daily. 🚀 Key Features Trigger Options Manual Trigger – Generate videos anytime. Scheduled Trigger – Auto-generate videos every 5 minutes or at your preferred interval. Source Data Collection The workflow retrieves content from Google Sheets & Google Drive: Quotes – From Quotes_status sheet Background Videos – From a Google Drive folder Background Music – From a Google Drive folder Each item is appended back into Sheets for status tracking. Nodes used: Retrieve Quote Data List Video Background Files List Music Background Files Retrieve Video Background Data Retrieve Music Background Data Random Content Selection A Code node selects one random: Quote Video background Music track This ensures each final output video is unique. Node: Select Random Video, Music & Quote Video Generation & Merging The workflow sends selected video + music URLs to an FFmpeg merge API: Initiates the video merge Continuously polls the status API until the job finishes Downloads the merged MP4 file Saves the final video locally (video1.mp4) Nodes: upload and gen video check status If Wait download video Save Final Video Optional: Upload to TikTok / Instagram / X / Threads Disabled by default but preconfigured for: TikTok Instagram X (Twitter) Threads These nodes use upload-post.com API for multi-platform posting. Nodes (disabled): Upload Video and Description to Tiktok Upload Video to Instagram Upload Video to X Upload Video to Threads Each platform’s upload result is written back into Google Sheets: TiktokURL InsURL XURL ThreadsURL Upload to YouTube (Enabled) The merged video is published to YouTube via the YouTube OAuth2 node. Generates title using filename Uses the quote as a description Uploads as a public YouTube Short Node: Upload to YouTube1 After uploading, the YouTube link is saved into the Google Sheet. Google Sheets Status Update Once the workflow finishes uploading: Updates the row associated with the selected quote Mark status as DONE Stores YouTube / TikTok / Instagram / X / FB URL Nodes: Tiktok Update Quote Upload Status Update Instagram status Update X status Update FB status File Upload to Google Drive The final MP4 is also stored back into a designated Google Drive folder. Node: Upload file Telegram Notifications The workflow sends Telegram messages to notify: Merge status YouTube Upload ID Nodes: Send a text message 📁 Files Used Workflow JSON: /mnt/data/Video merge and upload Youtube.json 🧩 Ideal Use Cases Motivational video channels TikTok/Reels/Shorts content farms Automated inspirational quote pages Multi-platform social media distribution Zero-touch daily video generation 🌟 Summary This n8n workflow is a complete video-automation system. It builds an original video using randomized components, merges it through an external API, publishes it across multiple social platforms, and updates your content tracking sheet—all without manual effort.

Who is it for? This workflow is perfect for content creators, marketers, researchers, or anyone who wants to efficiently keep up with a YouTube channel without watching every video. It saves you hours of manual work by automatically transcribing, translating, and summarizing new video content. What it does This workflow automates the entire process of digesting YouTube video content. It watches a specified YouTube channel for new uploads. When a new video is published, it uses Google's Gemini AI to create a full English transcription. The text is then translated into Japanese using DeepL and summarized by OpenAI's GPT into a clean title and a few key bullet points. Finally, it saves both the concise summary and the full translated text as separate documents in your Google Drive. How to set up Connect Your Accounts: Authenticate your credentials for the YouTube, Google Gemini, DeepL, OpenAI, and Google Drive nodes. Set the YouTube Channel: In the YouTube: Get Channel by ID node, replace the placeholder channel ID with the one you want to monitor. Choose Google Drive Folders: In the two Google Drive nodes (Save Summary and Save Full Translation), specify the Folder ID where you'd like to store the output files. Activate: Enable the workflow to start monitoring for new videos. Requirements An n8n instance A Google account with access to the YouTube API A Google AI (Gemini) API key A DeepL API account An OpenAI API key A Google account with access to Google Drive How to customize the workflow Change the Trigger: Adjust the Run once a day schedule trigger to run more or less frequently. Adjust the Language: Modify the DeepL: Translate to Japanese node to translate to a different language, or remove it entirely to summarize the original English text. Swap AI Models: Select different AI models in the Google Gemini Model or OpenAI Chat Model nodes based on your preference for speed or quality. Modify the Summary Prompt: Edit the prompt in the Agent: Summarize Japanese Text node to change the tone, length, or format of the summary. Change the Destination: Replace the Google Drive nodes with other services like Slack, Notion, or a database to send your summaries wherever you need them.

How it works This workflow turns a Google Drive folder into a fully automated YouTube publishing pipeline. Whenever a new video file is added to the folder, the workflow generates all YouTube metadata using AI, uploads the video to your YouTube channel, deletes the original file from Drive, sends a Telegram confirmation, and can optionally post to Instagram and Facebook using permanent system tokens. High-level flow: Detects new video uploads in a specific Google Drive folder. Downloads the file and uses AI to generate: • a polished first-person YouTube description • an SEO-optimized YouTube title • high-ranking YouTube tags Uploads the video to YouTube with the generated metadata. Deletes the original Drive file after upload. Sends a Telegram notification with video details. (Optional) Posts to Instagram & Facebook using permanent system user tokens. Set up steps Setup usually takes a few minutes. Add Google Drive OAuth2 credentials for the trigger and download/delete nodes. Add your OpenAI (or Gemini) API credentials for title/description/tag generation. Add YouTube OAuth2 credentials in the YouTube Upload node. Add Facebook/Instagram Graph API credentials if enabling cross-posting. Replace placeholder IDs (Drive folder ID, Page ID, IG media endpoint). Review sticky notes in the workflow—they contain setup guidance and token info. Activate the Google Drive trigger to start automated uploads.