Summarize PDF documents in Telegram with Groq AI

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 💬📁](https://n8n.io/workflows/9254-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%.

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