Automate Expense Tracking from Telegram Receipts Using Tesseract and LLaMA

Streamline your expense tracking by automatically extracting and categorizing receipt details from Telegram messages using Tesseract for OCR and LLaMA for AI analysis.

n8n
Felix Mueller

37 workflows

This workflow is perfect for individuals and small business owners who want to automate the tedious task of expense tracking. By leveraging Telegram for input, Tesseract for optical character recognition, and LLaMA for AI-driven categorization, this workflow efficiently processes both text and image receipts. It categorizes expenses, compiles a structured summary, and sends it back to the user, reducing manual entry errors and saving time.

$14.99
Last updated October 3, 2026
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Tags

if
set
code
telegram
stickyNote
httpRequest
telegramTrigger
chainLlm
tesseractNode
lmChatOpenRouter

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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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