Extract text from images & PDFs via Telegram with Mistral OCR to Markdown

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This n8n template provides a complete solution for Optical Character Recognition (OCR) of image and PDF files directly within Telegram Users can simply send PNG, JPEG, or PDF documents to your Tele...

Best for

Document Extraction automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.if, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.set, n8n-nodes-base.switch, n8n-nodes-base.telegram, n8n-nodes-base.code, n8n-nodes-base.converttofile

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rostislav.

Original n8n.io source

1.1 Workflow description

Title: Extract text from images & PDFs via Telegram with Mistral OCR to Markdown
Workflow name: Extract text from images & PDFs via Telegram with Mistral OCR to Markdown

This n8n template provides a complete solution for Optical Character Recognition (OCR) of image and PDF files directly within Telegram

Users can simply send PNG, JPEG, or PDF documents to your Telegram bot, and the workflow will process them, extract text using Mistral OCR, and return the content as a downloadable Markdown (.md) text file.

Key Features & How it Works:

Effortless OCR via Telegram: Users send a file to the bot, and the system automatically detects the file type (PNG, JPEG, or PDF).
File Size Validation: The workflow enforces a 25 MB file size limit, in line with Telegram Bot API restrictions, ensuring smooth operation.
Mistral-Powered Recognition: Leveraging Mistral OCR, the template accurately extracts text from various document types.
Markdown Output: Recognized text is automatically converted into a clean Markdown (.md) text file, ready for easy editing, storage, or further processing.
Secure File Delivery: The processed Markdown file is delivered back to the user via Telegram. For this, the workflow ingeniously uses a GET request to itself (acting as a file downloader proxy). This generated link allows Telegram to fetch the .md file directly. Please note: This download functionality requires the workflow to be in an Active status.
Optional Whitelist Security: Enhance your bot's security with an optional whitelist feature. You can configure specific Telegram User IDs to restrict access, ensuring only authorized users can interact with your bot.
Simplified Webhook Management: The template includes dedicated utility flows for convenient management of your Telegram bot's webhooks (for both development and production environments).

This template is ideal for digitizing documents on the go, extracting text from scanned files, or converting image-based content into versatile, searchable text.

Getting Started

To get this powerful OCR bot up and running, follow these two main steps:

Set Up Your Telegram Bot: First, you'll need to configure your Telegram bot and its webhooks. Follow the instructions detailed in the Telegram Bot Webhook Setup section to create your bot, obtain its API token, and set up the necessary webhook URLs.
Configure Bot Settings: Next, you'll need to define key operational parameters for your bot. Proceed to the Settings Configuration section and populate the variables according to your preferences, including options for whitelist access.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Image / PDF

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 2 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note8

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Mistral OCR

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - Settings

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - Telegram Event Handler

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3

Block 7 - Status “Typing…”

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 8 - Sticky Note9

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Notification about correct commands

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 11 - Maximum file size exceeded

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 12 - Checking file size

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 13 - File classifier

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - Generating temporary file link

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 15 - Invalid file

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 16 - Markdown converter

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 17 - Converting Markdown to File

Type / Role: n8n-nodes-base.convertToFile - convertToFile
Config choices: Version 1.1

Block 18 - Manual Webhook Setup Trigger

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 19 - Telegram Webhook Configuration

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 20 - Check Production Mode

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 21 - Set Production Webhook

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 22 - Set Development Webhook

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 23 - Return Webhook Status

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 24 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 40 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Extract text from images & PDFs via Telegram with Mistral OCR to Markdown
Complexity	advanced
Nodes	40
Categories	Document Extraction, Multimodal AI
Author	Rostislav
Published	20 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6209/6209.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows Multimodal AI workflows

Frequently asked questions

What does Extract text from images & PDFs via Telegram with Mistral OCR to Markdown do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, Multimodal AI use case.

Rostislav

1 workflow

Nodes

n8n-nodes-base.if n8n-nodes-base.stickynote n8n-nodes-base.httprequest n8n-nodes-base.set n8n-nodes-base.switch n8n-nodes-base.telegram n8n-nodes-base.code n8n-nodes-base.converttofile

Complexity

advanced

Published 20 Jul 2025

Likes 0

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Install path: /data/workflows/6209/6209.json

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Extract text from images & PDFs via Telegram with Mistral OCR to Markdown

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Key Features & How it Works:

Getting Started

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Image / PDF

Block 2 - Sticky Note

Block 3 - Sticky Note8

Block 4 - Mistral OCR

Block 5 - Settings

Block 6 - Telegram Event Handler

Block 7 - Status “Typing…”

Block 8 - Sticky Note9

Block 9 - Sticky Note1

Block 10 - Notification about correct commands

Block 11 - Maximum file size exceeded

Block 12 - Checking file size

Block 13 - File classifier

Block 14 - Generating temporary file link

Block 15 - Invalid file

Block 16 - Markdown converter

Block 17 - Converting Markdown to File

Block 18 - Manual Webhook Setup Trigger

Block 19 - Telegram Webhook Configuration

Block 20 - Check Production Mode

Block 21 - Set Production Webhook

Block 22 - Set Development Webhook

Block 23 - Return Webhook Status

Block 24 - Sticky Note2

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions