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integrationDeepSeek Chat Model node
integrationGoogle Drive node

DeepSeek Chat Model and Google Drive integration

Save yourself the work of writing custom integrations for DeepSeek Chat Model and Google Drive and use n8n instead. Build adaptable and scalable AI, Langchain, and Data & Storage workflows that work with your technology stack. All within a building experience you will love.

How to connect DeepSeek Chat Model and Google Drive

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

DeepSeek Chat Model and Google Drive integration: Create a new workflow and add the first step

Step 2: Add and configure DeepSeek Chat Model and Google Drive nodes

You can find DeepSeek Chat Model and Google Drive in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure DeepSeek Chat Model and Google Drive nodes one by one: input data on the left, parameters in the middle, and output data on the right.

DeepSeek Chat Model and Google Drive integration: Add and configure DeepSeek Chat Model and Google Drive nodes

Step 3: Connect DeepSeek Chat Model and Google Drive

A connection establishes a link between DeepSeek Chat Model and Google Drive (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

DeepSeek Chat Model and Google Drive integration: Connect DeepSeek Chat Model and Google Drive

Step 4: Customize and extend your DeepSeek Chat Model and Google Drive integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect DeepSeek Chat Model and Google Drive with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

DeepSeek Chat Model and Google Drive integration: Customize and extend your DeepSeek Chat Model and Google Drive integration

Step 5: Test and activate your DeepSeek Chat Model and Google Drive workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from DeepSeek Chat Model to Google Drive or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

DeepSeek Chat Model and Google Drive integration: Test and activate your DeepSeek Chat Model and Google Drive workflow

⚛️🐋🤖 Extract data from YAPE receipts via Telegram OCR and store in Google Sheets

Detailed Technical Description
This n8n workflow automates Yape payment receipt processing, integrating Telegram bot, AI-powered OCR, and Google Sheets automation. By leveraging ChatGPT Vision Computing, it extracts and structures transaction details, eliminating the need for manual entry. Ideal for freelancers, businesses, and finance teams, this workflow ensures error-free, real-time financial tracking. The AI agent powered by DeepSeek refines and formats the extracted text, storing it in Google Sheets for easy accessibility and reporting. Users can track payments, monitor cash flow, and generate financial reports without any manual work. This seamless integration boosts efficiency, reduces errors, and automates financial record-keeping with 100% accuracy.

🛠️ Technologies Used:
✅n8n – Workflow orchestrator.
✅Telegram – Handles image reception and notifications.
✅Google Drive – Manages file creation and storage.
✅Google Sheets – Automatically logs extracted data into spreadsheets.

🤖Artificial Intelligence:
✅ChatGPT Vision Computing – Performs OCR on payment receipts.
✅DeepSeek AI – Organizes and converts extracted data into a structured format.

📌 pre-conditions:
📩 A Telegram Bot – Must be created to receive images. Setup Guide
🔑 Google Sheets API Key – Required to store extracted data. Setup Guide
⚛️ ChatGPT API Key – Used for OCR and AI text extraction. Get it here
🐋 DeepSeek API Key – Processes extracted text into structured data. Get it here
1️⃣ Image Reception & OCR Processing 📩
The user attaches a Yape payment receipt image to the Telegram bot conversation. 🤳🏻

2️⃣ Analyze Image (OCR) 👁️‍🗨️
A ⚛️ChatGPT Vision Computing model processes the image and extracts all visible text, ensuring high-accuracy OCR for structured data extraction.

3️⃣ Analyze and format text
Intelligent Data Processing with AI 🤖
The extracted text is sent to a 🐋DeepSeek-based AI agent that:
Identifies and structures key transaction details (amount, date, sender, transaction ID, etc.).
Converts the data into a structured JSON format.

4️⃣ Data Storage in Google Sheets 📊
Google Drive integration is established.
If the Google Sheets file does not exist, it is automatically created.

Extracted data is automatically recorded in the corresponding spreadsheet, enabling effortless tracking and streamlined financial organization.

🚀 Benefits:
✅ Time-saving – Eliminates manual payment processing.
✅ Error-free data entry – Reduces human mistakes in record-keeping.
✅ 100% automation – No manual intervention required.
✅ Seamless integration – Easily connects with other workflows.

💡NOTE: The extracted transaction data will be stored in a Google Sheets file with the following columns:

Column Name Description
id Unique identifier for each transaction.
beneficiaryName Name of the recipient of the payment.
amount Payment amount in the specified currency.
currency Currency used for the transaction (e.g., PEN, USD).
company The entity or service handling the transaction.
date Date of the transaction in a human-readable format.
hour Time of the transaction.
originalDate The exact date extracted from the receipt.
dateToISO Standardized ISO 8601 date format.
operation Type of financial operation (e.g., deposit, transfer).
operationNumber Unique operation number provided by the payment system.
beneficiaryNumber Account or phone number of the recipient.
commission Any commission or fee charged for the transaction.
account Account number or reference used for the payment.
channel Payment method used (e.g., app, POS, bank transfer).
agentCode Identifier of the agent or entity processing the payment.

This workflow is perfect for businesses, freelancers, and individuals who need a fully automated solution to process Yape payment receipts efficiently. By leveraging AI-powered OCR and structured data extraction, it eliminates manual effort, reduces errors, and ensures that all transactions are accurately logged in Google Sheets. Whether you're managing personal finances, freelance payments, or business transactions, this system provides a seamless, hands-free approach to financial tracking, allowing you to focus on what truly matters.

Nodes used in this workflow

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Upload Instagram Reels from Google Sheets with DeepSeek AI captions

Overview This n8n workflow template automates the entire process of publishing Instagram Reels from content stored in Google Sheets and Google Drive. It's designed for content creators, social media managers, and businesses who maintain a content calendar in spreadsheets and need automated publishing with AI-generated captions. Workflow Steps Trigger Phase Schedule Trigger**: Runs every 12 hours (configurable) Google Sheets Trigger**: Alternatively triggers when new rows are added Retrieves the next unposted video from the spreadsheet (where POSTED = FALSE) Content Preparation Downloads video from Google Drive using file ID from spreadsheet Processes video with FFmpeg to add custom text overlays: Title text overlay Numbering overlay Sales hook text Sends processed video using SSH Caption & Metadata Generation Extracts video filename and metadata Uses AI Agent (DeepSeek) to generate engaging Instagram captions: 2-4 engaging sentences 3-5 relevant hashtags Clear call-to-action Under 150 characters total Stores caption and metadata in Airtable for record-keeping Instagram Publishing Creates Facebook/Instagram media container with video URL and caption Waits and polls for video processing completion Publishes the Reel when ready Updates Google Sheet to mark content as posted (POSTED = TRUE) Cleanup Removes temporary video files from disk
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Transform Books into 100+ Social Media Posts with DeepSeek AI and Google Drive

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Transcribe & Summarize Telegram Voice Notes with OpenAI and DeepSeek Chat to Google Docs

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.
+19

💾 Generate Blog Posts on Autopilot with GPT‑5, Tavily and WordPress

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.

Transcribe Telegram Voice Notes to Google Docs with OpenAI & DeepSeek Summaries

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.

Build your own DeepSeek Chat Model and Google Drive integration

Create custom DeepSeek Chat Model and Google Drive workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Google Drive supported actions

Copy
Create a copy of an existing file
Create From Text
Create a file from a provided text
Delete
Permanently delete a file
Download
Download a file
Move
Move a file to another folder
Share
Add sharing permissions to a file
Update
Update a file
Upload
Upload an existing file to Google Drive
Search
Search or list files and folders
Create
Create a folder
Delete
Permanently delete a folder
Share
Add sharing permissions to a folder
Create
Create a shared drive
Delete
Permanently delete a shared drive
Get
Get a shared drive
Get Many
Get the list of shared drives
Update
Update a shared drive

FAQs

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