Extract text from images with Telegram Bot & OCR Tesseractjs

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Important notice

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

1. Workflow Overview

Description This n8n workflow enables users to send an image to a Telegram bot and receive the extracted text using Tesseract OCR (via the n8n nodes tesseractjs Community Node). It's a quick and st...

Best for

Personal Productivity automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.telegramtrigger, n8n-nodes-base.set, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.code, n8n-nodes-tesseractjs.tesseractnode

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Extract text from images with Telegram Bot & OCR Tesseractjs
Workflow name: Extract text from images with Telegram Bot & OCR Tesseractjs

Description This n8n workflow enables users to send an image to a Telegram bot and receive the extracted text using Tesseract OCR (via the n8n-nodes-tesseractjs Community Node). It's a quick and straightforward way to convert images into readable text directly through chat.

How it Works

The workflow listens for new image messages coming in via the Telegram bot.
Once an image is received, it downloads the image file from Telegram (which initially arrives as application/octet-stream).
The image data, now properly identified, is then sent to the Tesseract OCR node to extract the text.
Finally, the recognized text is sent back as a reply to the Telegram user.

Setup Steps

Install Community Node: Ensure you have installed n8n-nodes-tesseractjs in your n8n instance.
Connect Telegram Bot: Configure the Telegram Trigger node with your Telegram bot.
Bot Token: Add your Telegram bot token to the Send Message node to send replies.
Deploy & Test: Activate (deploy) the workflow and send an image to your Telegram bot to test.

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 - Telegram Trigger

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

Block 2 - Clean Input Data

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

Block 3 - get file

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

Block 4 - Telegram

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

Block 5 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 6 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 7 - Replace

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

Block 8 - Tesseract OCR

Type / Role: n8n-nodes-tesseractjs.tesseractNode - tesseractNode
Config choices: Version 1

3. Summary Table

Workflow	Extract text from images with Telegram Bot & OCR Tesseractjs
Complexity	intermediate
Nodes	8
Categories	Personal Productivity, Multimodal AI
Author	Rudi Afandi
Published	27 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5413/5413.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 Personal Productivity workflows Multimodal AI workflows

Frequently asked questions

What does Extract text from images with Telegram Bot & OCR Tesseractjs 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 Personal Productivity, Multimodal AI use case.

Rudi Afandi

3 workflows

Nodes

n8n-nodes-base.telegramtrigger n8n-nodes-base.set n8n-nodes-base.telegram @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.code n8n-nodes-tesseractjs.tesseractnode

Complexity

intermediate

Published 27 Jun 2025

Likes 0

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Install path: /data/workflows/5413/5413.json

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Extract text from images with Telegram Bot & OCR Tesseractjs

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - Clean Input Data

Block 3 - get file

Block 4 - Telegram

Block 5 - AI Agent

Block 6 - Google Gemini Chat Model

Block 7 - Replace

Block 8 - Tesseract OCR

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