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Extract Details from Receipts via Telegram with Tesseract and Llama

by Khairul Muhtadinadapted from n8n official workflow galleryUpdated Aug 2026
RequiresBBasic LLM ChainCCodeHTTP RequestHTTP RequestOpenRouter Chat ModelOpenRouter Chat ModelStructured Output ParserStructured Output ParserTelegramTelegram
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CoFormat Summary MessageFormat Summary …HRGet Telegram FileGet Telegram Fi…HRDownload ImageTelegram TriggerCLAI CategorizerIfCheck Invalid InputCheck Invalid I…SeExtract Text InputExtract Text In…IfCheck for ImageOPReceipt ParserAI AnalyzerSend Error MessageSend Error Mess…Send Expense SummarySend Expense Su…TNExtract Value From ImageExtract Value F…12345678910111213
1/5
STEPS · 13
Starts on a Telegram event

Tesseract - Money Mate Workflow Description Disclaimer: This template requires the n8n-nodes-tesseractjs community node, which is only available on self-hosted n8n instances. You’ll need a self-hosted n8n setup to use this workflow. Who is this for? This workflow is designed for individuals, freelancers, or small business owners who want an easy way to track expenses using Telegram. It’s ideal for anyone looking to digitize receipts—whether from photos or text messages—using free tools, without needing advanced technical skills. What problem does this workflow solve? Manually entering receipt details into a spreadsheet or app is time-consuming and prone to mistakes. This workflow automates the process by extracting information from receipt images or text messages sent via Telegram, categorizing expenses, and sending back a clear, formatted summary. It saves time, reduces errors, and makes expense tracking effortless. What this workflow does The workflow listens for messages sent to a Telegram bot, which can be either text descriptions of expenses or photos of receipts. If a photo is sent, Tesseract (an open-source text recognition tool) extracts the text.

Tags

n8nreference-onlychain-llmlm-chat-open-routeroutput-parser-structuredtelegram
Connects
BBasic LLM ChainCCodeWHTTP RequestopenrouterchatmodelOpenRouter Chat ModelstructuredoutputparserStructured Output ParsertelegramTelegram
CategoryAI Automation
Triggermanual
Complexityadvanced
Nodes13
AddedMay 24, 2025

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