Analyze images from forms using GPT-4o-mini Vision and deliver to Telegram

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Important notice

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

1. Workflow Overview

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 instan...

Best for

Document Extraction automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.set, n8n-nodes-base.telegram, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Analyze images from forms using GPT-4o-mini Vision and deliver to Telegram
Workflow name: Analyze images from forms using GPT-4o-mini Vision and deliver to Telegram

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 1. 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. 2. 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”). 3. 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. 4. 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. 5. Testing • Click Execute workflow. • Submit an image via your form and confirm it delivers to your Telegram as expected.

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 - On form submission

Type / Role: n8n-nodes-base.formTrigger - formTrigger
Config choices: Version 2.2

Block 2 - OpenAI

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 3 - Set your Telegram Chat ID

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

Block 4 - Telegram Delivery

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

Block 5 - Sticky Note

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

3. Summary Table

Workflow	Analyze images from forms using GPT-4o-mini Vision and deliver to Telegram
Complexity	intermediate
Nodes	5
Categories	Document Extraction, Multimodal AI
Author	David Olusola
Published	01 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5507/5507.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 Document Extraction workflows Multimodal AI workflows

Frequently asked questions

What does Analyze images from forms using GPT-4o-mini Vision and deliver to Telegram 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 Document Extraction, Multimodal AI use case.

David Olusola

92 workflows

Nodes

n8n-nodes-base.formtrigger @n8n/n8n-nodes-langchain.openai n8n-nodes-base.set n8n-nodes-base.telegram n8n-nodes-base.stickynote

Complexity

intermediate

Published 01 Jul 2025

Likes 0

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Install path: /data/workflows/5507/5507.json

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Analyze images from forms using GPT-4o-mini Vision and deliver to Telegram

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

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

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - On form submission

Block 2 - OpenAI

Block 3 - Set your Telegram Chat ID

Block 4 - Telegram Delivery

Block 5 - Sticky Note

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