Extract & Categorize Receipts via Telegram with Google OCR & AI
Automates receipt data extraction from Telegram photos/text using Google Vision OCR and OpenRouter AI for categorization and summaries. Delivers privacy-focused expense tracking without databases.
MoneyMate is an n8n workflow that revolutionizes expense tracking by processing receipt images or text sent via Telegram. It uses Google Vision API for accurate OCR to convert images into readable text, then leverages OpenRouter's AI to parse key details like store info, dates, items, totals, and categorize expenses into types such as Food & Beverages, Transport, or Household. The workflow handles edge cases like zero totals with user-friendly error prompts and sends back an emoji-rich summary directly to the chat.
Key benefits include seamless Telegram integration for instant input/output, privacy-first processing without data storage, and flexible categorization supporting income/expense tracking. It's ideal for freelancers, small business owners, budget-conscious individuals, and teams needing quick automated reporting, saving hours on manual entry.
No database setup is required, making deployment simple on any n8n instance. Pre-requirements are minimal: a Telegram bot token and API credentials for Google Vision and OpenRouter. Perfect for hassle-free financial insights and control over personal or business finances.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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E-commerce Store Automation Suite
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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