Automate AI Image Analysis and Response via Telegram

Introduction

In this guide, we'll walk through creating an n8n workflow that automatically analyzes images sent to a Telegram bot using AI vision models and responds with detailed descriptions.

What You'll Build

• A Telegram bot that receives images
• AI-powered image analysis using vision models
• Automated responses with image descriptions
• Error handling and fallbacks

Prerequisites

• A Telegram bot token (get one from @BotFather)
• An n8n instance (cloud or self-hosted)
• An OpenAI or similar AI vision API key

Step 1: Set Up Your Telegram Bot

First, create a new bot using Telegram's BotFather:

1. Open Telegram and search for @BotFather
2. Send /newbot command
3. Follow the prompts to name your bot
4. Copy the API token provided

Step 2: Configure the Webhook Trigger

In n8n, add a Telegram Trigger node and configure it with your bot token. This will listen for incoming messages with images.

Step 3: Add Image Analysis

Add an AI vision node (OpenAI Vision, Google Vision, etc.) to analyze the image. Configure it to:

• Extract image URL from Telegram message
• Send to AI vision API
• Parse the response

Step 4: Send Response Back

Finally, add a Telegram node to send the AI's analysis back to the user who sent the image.

Conclusion

You now have a fully automated image analysis bot! This workflow can be extended to:

• Classify images into categories
• Detect objects or text in images
• Generate captions for social media
• Quality control for uploaded images