Analyze Images from Forms using GPT-4o-mini Vision and Deliver to Telegram
Go to Workflow
David Olusola
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.
This workflow was created by David Olusola and shared publicly on the n8n community template library. n8nFind indexes it for discovery — the workflow remains the property of its original creator.