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Receipt Data Extraction and Categories via Telegram

Small business owners and freelancers who want to track expenses without typing them in.

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extract-categorize-receipt-data-with-google-ocr-openrouter-ai-telegram.json

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What it does

An n8n workflow that takes a receipt photo or text sent to Telegram. Google Vision reads it, an AI model via OpenRouter extracts store, date, items and total and assigns a category, and a summary returns to the chat. It stores no data.

Use cases

  1. 01Turn a receipt photo into a categorized expense
  2. 02Get a chat summary of each purchase
  3. 03Catch receipts that came back with a zero total

Connects

HTTP Request · Telegram · Code · Basic LLM Chain · Structured Output Parser · OpenRouter Chat Model

Questions about
Receipt Data Extraction and Categories via Telegram.

What is Receipt Data Extraction and Categories via Telegram used for?

Small business owners and freelancers who want to track expenses without typing them in. An n8n workflow that takes a receipt photo or text sent to Telegram. Google Vision reads it, an AI model via OpenRouter extracts store, date, items and total and assigns a category, and a summary returns to the chat. It stores no data.

How do I import Receipt Data Extraction and Categories via Telegram into n8n?

Copy the workflow JSON from this page and paste it onto the n8n canvas with Ctrl+V or Cmd+V. Then connect your credentials in each node.

Is Receipt Data Extraction and Categories via Telegram safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.

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