Analyze images & extract text with GPT-4o Vision and Telegram

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Important notice

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

1. Workflow Overview

Who’s it for Teams and makers who want a plug and play vision bot: users send a photo in Telegram, the bot returns a concise description plus OCR text. No custom servers r...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.telegramtrigger, n8n-nodes-base.telegram, n8n-nodes-base.extractfromfile, n8n-nodes-base.code, n8n-nodes-base.httprequest

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by AI/ML API | D1m7asis.

Original n8n.io source

1.1 Workflow description

Title: Analyze images & extract text with GPT-4o Vision and Telegram
Workflow name: Analyze images & extract text with GPT-4o Vision and Telegram

Who’s it for

Teams and makers who want a plug-and-play vision bot: users send a photo in Telegram, the bot returns a concise description plus OCR text. No custom servers required—just n8n, a Telegram bot, and an AIMLAPI key.

What it does / How it works

The workflow listens for new Telegram messages, fetches the highest-resolution photo, converts it to base64, normalizes the MIME type, and calls AIMLAPI (GPT-4o Vision) via the HTTP Request node using the OpenAI-compatible messages format with an image_url data URI. The model returns a short caption and extracted text. The answer is sent back to the same Telegram chat.

Requirements

n8n instance (self-hosted or cloud)
Telegram bot token (from @BotFather)
AIMLAPI account and API key (OpenAI-compatible endpoint)

How to set up

Create a Telegram bot with @BotFather and copy the token.
In n8n, add Telegram credentials (no hardcoded tokens in nodes).
Add AIMLAPI credentials with your API key (base URL: https://api.aimlapi.com/v1).
Import the workflow JSON and connect credentials in the nodes.
Execute the trigger and send a photo to your bot to test.

How to customize the workflow

Modify the vision prompt (e.g., add brand, language, or formatting rules).
Switch models within AIMLAPI (any vision-capable model using the same messages schema).
Add an IF branch for text-only messages (reply with guidance).
Log usage to Google Sheets or a database (user id, file id, response).
Add rate limits, user allowlists, or Markdown formatting in Telegram responses.
Increase timeouts/retries in the HTTP Request node for long-running images.

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 - Sticky Note — Overview

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

Block 2 - Sticky Note — Setup Guide

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

Block 3 - Sticky Note — Receive Message

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

Block 4 - Sticky Note — GPT‑5 Processing

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

Block 5 - Sticky Note — Send Response

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

Block 6 - Sticky Note — Logging

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

Block 7 - Sticky Note — Receive Message1

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

Block 8 - Sticky Note — Send Response1

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

Block 9 - Sticky Note — Logging1

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

Block 10 - Step 1 · 📩 Telegram Trigger (In)

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

Block 11 - Step 1.5 · 💬 Typing…

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

Block 12 - Step 2 · 📷 Get Photo

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

Block 13 - Step 3 · 🧩 Extract → base64

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

Block 14 - Step 3.5 · 🧑‍💻 Build Data URI

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

Block 15 - Step 4 · 🧠 AIMLAPI Vision (HTTP)

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

Block 16 - Step 5 · 📤 Reply to Telegram

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

3. Summary Table

Workflow	Analyze images & extract text with GPT-4o Vision and Telegram
Complexity	advanced
Nodes	16
Categories	Support Chatbot, AI Chatbot
Author	AI/ML API \| D1m7asis
Published	02 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/8185/8185.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 Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Analyze images & extract text with GPT-4o Vision and Telegram do?

Who’s it for Teams and makers who want a plug and play vision bot: users send a photo in Telegram, the bot returns a concise description plus OCR text. No custom servers r...

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 Support Chatbot, AI Chatbot use case.

AI/ML API | D1m7asis

12 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.telegramtrigger n8n-nodes-base.telegram n8n-nodes-base.extractfromfile n8n-nodes-base.code n8n-nodes-base.httprequest

Complexity

advanced

Published 02 Sept 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/8185/8185.json

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Analyze images & extract text with GPT-4o Vision and Telegram

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who’s it for

What it does / How it works

Requirements

How to set up

How to customize the workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note — Overview

Block 2 - Sticky Note — Setup Guide

Block 3 - Sticky Note — Receive Message

Block 4 - Sticky Note — GPT‑5 Processing

Block 5 - Sticky Note — Send Response

Block 6 - Sticky Note — Logging

Block 7 - Sticky Note — Receive Message1

Block 8 - Sticky Note — Send Response1

Block 9 - Sticky Note — Logging1

Block 10 - Step 1 · 📩 Telegram Trigger (In)

Block 11 - Step 1.5 · 💬 Typing…

Block 12 - Step 2 · 📷 Get Photo

Block 13 - Step 3 · 🧩 Extract → base64

Block 14 - Step 3.5 · 🧑‍💻 Build Data URI

Block 15 - Step 4 · 🧠 AIMLAPI Vision (HTTP)

Block 16 - Step 5 · 📤 Reply to Telegram

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