Extract Receipt Details via Telegram with Tesseract OCR & Llama AI

This workflow listens for messages in Telegram, handling both text descriptions of expenses and photos of receipts. For images, Tesseract OCR extracts text, which is then analyzed by Llama via OpenRouter to identify store name, date, items, total amount, and categorize into types like Food, Transport, or Household. A formatted summary is sent back instantly.

Ideal for freelancers, small businesses, or individuals tracking expenses effortlessly without manual entry. It eliminates errors from typing, saves hours weekly, and integrates free tools for digitization. Requires self-hosted n8n with the n8n-nodes-tesseractjs community node.

Benefits include time savings, accuracy via AI, and seamless Telegram integration for on-the-go use. Use cases: Digitize restaurant bills, grocery receipts, or travel expenses directly from your phone, building a reliable expense log without spreadsheets.

Setup involves installing the Tesseract node, creating a Telegram bot, configuring OpenRouter API key, and activating the workflow for immediate use.