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.
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.
- Platform
- n8n
- Category
- Finance & Accounting
- Price
- $14.99
- Creator
- Felix Mueller
- if
- set
- code
- telegram
- stickyNote
- httpRequest
- telegramTrigger
- chainLlm
- tesseractNode
- lmChatOpenRouter
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.
Related Finance & Accounting workflows
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- Automated Multi-Modal Expense Tracking via Telegram$24.99
- Automate Invoice Processing and Notifications with AI and Google Drive$14.99
- Automate Invoice Processing from Telegram to SAP with OCR and Google Sheets$14.99
- Compare Multi-Period Financial Data from Google Sheets with DeepSeek AI Analysis$14.99
- Automate Invoice Processing and Validation with OCR, AI, and Google Sheets$14.99
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