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Receipts from Telegram with Tesseract OCR and Llama

Freelancers and small business owners who want to log expenses by sending receipt photos through Telegram.

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extract-details-from-receipts-via-telegram-with-tesseract-and-llama.json

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What it does

A Telegram workflow that reads receipt photos with Tesseract OCR and processes text messages directly. A LLaMA model through OpenRouter categorizes each expense, such as Food & Beverages, Household or Transport, and replies with a structured summary. It uses a community node, so it needs a self-hosted n8n instance.

Use cases

  1. 01Saving an expense by sending only a receipt photo
  2. 02Sorting spending into categories such as household or transport
  3. 03Getting a clear summary back after each receipt

Connects

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

Questions about
Receipts from Telegram with Tesseract OCR and Llama.

What is Receipts from Telegram with Tesseract OCR and Llama used for?

Freelancers and small business owners who want to log expenses by sending receipt photos through Telegram. A Telegram workflow that reads receipt photos with Tesseract OCR and processes text messages directly. A LLaMA model through OpenRouter categorizes each expense, such as Food & Beverages, Household or Transport, and replies with a structured summary. It uses a community node, so it needs a self-hosted n8n instance.

How do I import Receipts from Telegram with Tesseract OCR and Llama 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 Receipts from Telegram with Tesseract OCR and Llama 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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