Get Started
Back to Templates

Summarize PDF documents in Telegram with Groq AI

Created by

Created by: EoCi - Mr.Eo || eocimreo

EoCi - Mr.Eo

Last update

Last update 3 hours ago

Categories

Share

How It Works

Telegram Trigger → Sub-Workflow (Separate Text/Files) → IF (Is PDF?)
├── True: Extract PDF → Set Text → Code (Clean) → Done!
└── False: NoOp (Ignore)
  • 9 nodes: Lightweight, efficient (no loops).
  • Key Steps:
    1. Triggers on Telegram messages - downloads files.
    2. Sub-workflow splits text/files. (Optional but recommended)
    3. IF node checks MIME type/extension for PDFs.
    4. Extracts text via "Extract From File" node.
    5. AI writes summary.
    6. Responds to user.

Setup Instructions

IMPORTANT : Requiring an n8n instance to be configured with public/production webhook !

Recommendation: Ngrok or Cloudflare Tunnel

  1. Add the Telegram credential
    • Go to Credentials → New Credential → Telegram API.
    • Paste your Bot Token.
  2. Configure the Trigger
    • Open the Telegram Trigger node.
    • Ensure Trigger On contains Message.
    • Enable Download under Additional Fields so file payloads are attached to the node output.
  3. (Optional) Enable the sub‑workflow Automate Telegram Message Processing - Separate Text and Files 💬📁
    • If you need both message text and attachments, enable the Automate Telegram Message Processing – Separate Text and Files node and import the referenced workflow into your workspace.
  4. Deploy the workflow and activate it.
  5. Testing Send a message with a PDF attachment to your Telegram bot. There will be a response from the chat that summarizes the PDF content.

Nodes Used

  • Telegram Trigger: Listens for incoming messages and downloads attachments.
  • Execute Workflow: Calls a sub-workflow to separate text and file data (recommended for reliable file handling).
  • If: Checks MIME type to ensure the file is a PDF.
  • Extract From File: Converts the PDF binary into text.
  • Set: Assignments to organize the text data.
  • Code: Cleans the text (removes excess newlines) to prepare it for the LLM.
  • Basic LLM Chain: Orchestrates the AI prompt and processing.
  • AI Chat Model: The specific LLM provider used for high-speed inference.
  • Telegram: Sends the final summary back to the user.

Output Example

The bot will reply with a message formatted like this:

Title: Q3 Financial Report
Type: Financial Report
Exec Summary: Revenue increased by 15% due to new product lines...
Key Insights:
• Growth in APAC region.
• Reduced operational costs by 5%.

🙏 Thank You for Trying This Workflow!

Your time and trust mean a lot! I truly appreciate you using this template.

Your feedback shapes future updates:

  • 💡 Suggestions for improvement
  • 🆕 Ideas for new features
  • 📝 Requests for other automation workflows

Please share your thoughts! Every idea helps shape the next update.

🙋‍♂️ Join & Follow For More Free Templates!

Get help, share builds, collaborate!
Daily tips, tutorials, and updates

Thank you again for being part of this journey! 🚀

Together, we automate better! 🤖✨