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Extract transactions from images using unli.dev Vision API & Telegram

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Extract transactions from images using unli.dev Vision API & Telegram preview
Open on n8n.io

Important notice

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

1. Workflow Overview

unli.dev + n8n + Telegram Image Analyzer turns images sent to your Telegram bot into clean, Markdown formatted transaction text using [unli.dev Vision API](htt...

Best for

  • Invoice Processing automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.telegram, n8n-nodes-base.code, n8n-nodes-base.set, n8n-nodes-base.telegramtrigger, 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 Khairul Muhtadin.

Original n8n.io source

1.1 Workflow description

Title
Extract transactions from images using unli.dev Vision API & Telegram
Workflow name
Extract transactions from images using unli.dev Vision API & Telegram

unli.dev + n8n + Telegram

Image Analyzer turns images sent to your Telegram bot into clean, Markdown-formatted transaction text using unli.dev Vision API. Instead of typing numbers and dates manually, the workflow downloads the photo, converts it to base64, analyzes it via API, and replies in-chat with extracted details, saving time and reducing errors.

đź’ˇ Why Use Image Analyzer?

  • Save time: Process images in seconds, cutting manual entry by up to 90%.
  • Solve pain points: No more blurry screenshot frustration; get clean Markdown transactions.
  • Faster outcomes: Per-image turnaround under 15s.
  • Competitive edge: Give staff/customers structured feedback instantly

⚡ Perfect For

  • Small business owners: Capture receipts/payments quickly.
  • Accountants/bookkeepers: Intake client receipts with fewer typos.
  • Ops/support teams: Turn messy screenshots into actionable records.

đź”§ How It Works

  1. Trigger: Telegram bot receives photo.
  2. Process: Convert to base64 & prepare request.
  3. Smart Logic: Call unli.dev Vision API for text extraction.
  4. Output: Send Markdown result back to Telegram.
  5. Optional: Save structured data to Google Sheets, Airtable, or DB.

đź›  Quick Setup

  1. Import workflow JSON to your n8n instance.
  2. Add credentials: Telegram bot + unli.dev API key.
  3. Customize the system prompt (default: extract the transaction in Markdown).
  4. Test by sending a real photo to your bot.

🧩 You’ll Need

Made by: Khaisa Studio
Category: Image Analysis

Contact: Get in touch

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 - 📤 Send Response

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

Block 2 - Convert to Base

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

Block 3 - Set Request

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3

Block 4 - 📥 Download Image

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

Block 5 - Telegram Trigger

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

Block 6 - Call Vision API

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

3. Summary Table

Workflow Extract transactions from images using unli.dev Vision API & Telegram
Complexity intermediate
Nodes 6
Categories Invoice Processing, Multimodal AI
Author Khairul Muhtadin
Published 21 Aug 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/7704/7704.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 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. 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.

Frequently asked questions

What does Extract transactions from images using unli.dev Vision API & Telegram do?

unli.dev + n8n + Telegram Image Analyzer turns images sent to your Telegram bot into clean, Markdown formatted transaction text using [unli.dev Vision API](htt...

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 Invoice Processing, Multimodal AI use case.