Analyze Images from Forms using GPT-4o-mini Vision and Deliver to Telegram

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Built by David Olusola David Olusola
Created on June 06, 2026

Description

This workflow analyzes images submitted via a form using OpenAI Vision, then delivers the analysis result directly to your Telegram chat.

✅ Use case examples:
• Users submit screenshots for instant AI interpretation
• Automated document or receipt analysis with Telegram delivery
• Quick OCR or image classification workflows



⚙️ Setup Guide
Form Submission Trigger
• Connect your form app (e.g. Typeform, Tally, or n8n’s own webhook form) to the On form submission trigger node.
• Ensure it sends the image file or URL as input.
OpenAI Vision Analysis
• In the OpenAI node, select Analyze Image operation.
• Provide your OpenAI API key and configure the prompt to instruct the model on what to analyze (e.g. “Describe this receipt in detail”).
Set Telegram Chat ID
• Use this manual node to input your Telegram Chat ID for delivery.
• Alternatively, automate this with a database lookup or user session if building for multiple users.
Telegram Delivery Node
• Connect your Telegram Bot to n8n using your bot token.
• Set up the sendMessage operation, using the analysis result from the previous node as the message text.
Testing
• Click Execute workflow.
• Submit an image via your form and confirm it delivers to your Telegram as expected.

Nodes Used (2)

OpenAI
@n8n/n8n-nodes-langchain.openAi
Telegram
n8n-nodes-base.telegram