Extract Details from Receipts via Telegram with Tesseract and Llama — n8n Workflow

Gemiddeld complexiteit Trigger13 knooppunten🏷️ Invoice Processing👁 1,165 weergavendoor Khairul Muhtadin

Overzicht

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, withou

Gebruikte knooppunten

HTTP RequestTelegramCodeBasic LLM ChainStructured Output ParserOpenRouter Chat Model

Workflow-voorvertoning

📲 Telegram Trigger
Receives user messages (text or photo) from Telegram to
🔍 Check for Image
Determines whether the input is an image or text to rou
MoneyMate is free to use!
Got feedback, ideas, or just wanna chat? Find me at khm
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📬 Send Expense Summary
Sends a summary of the recognized receipt or input to t
📝 Extract Text Input
Handles plain text inputs when no image is provided by
📊 Parse Receipt Data
Converts AI output into structured JSON with store, tra
📦 Get Telegram File
Fetches the file ID of a receipt image uploaded via Tel
⬇️ Download Image
Downloads the receipt photo and prepares it for text ex
🖼️ Text Extractor
Extract text from given image
🧾 Format Message
Creates a clear summary of expenses with store, date, i
🧠 AI Categorizer
Uses AI to classify input into categories like income o
❗ Send Error Message
Sends a warning to the user if the input is invalid or
🚫 Check Invalid Input
Detects and flags incorrect or zero-value entries befor
🤖 OpenRouter AI Model
Configures the language model to extract structured inf
modelparser
Format Summary Message
Get Telegram File
Download Image
T
Telegram Trigger
AI Categorizer
C
Check Invalid Input
E
Extract Text Input
C
Check for Image
Receipt Parser
AI Analyzer
Send Error Message
Send Expense Summary
E
Extract Value From Image
13 nodes13 edges

Hoe het werkt

  1. 1

    Trigger

    De workflow start met een trigger-trigger.

  2. 2

    Verwerking

    Gegevens stromen door 13 knooppunten, connecting chainllm, code, httprequest.

  3. 3

    Uitvoer

    De workflow voltooit zijn automatisering en levert het resultaat aan de geconfigureerde bestemming.

Knooppuntdetails (13)

HT

HTTP Request

httpRequest

#1
TE

Telegram

telegram

#2
CO

Code

code

#3
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#4
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#5
OP

OpenRouter Chat Model

n8n-nodes-langchain.lmChatOpenRouter

#6

Hoe deze workflow te importeren

  1. 1Klik op de knop JSON downloaden rechts om het workflowbestand op te slaan.
  2. 2Open uw n8n-instantie. Ga naar Workflows → Nieuw → Importeren uit bestand.
  3. 3Selecteer het gedownloade bestand extract-details-from-receipts-via-telegram-with-tesseract-and-llama en klik op Importeren.
  4. 4Stel inloggegevens in voor elk serviceknooppunt (API-sleutels, OAuth, enz.).
  5. 5Klik op Workflow testen om te controleren of alles werkt, activeer het vervolgens.

Of plak rechtstreeks in n8n → Importeren uit JSON:

{ "name": " Extract Details from Receipts via Telegram with Tesseract and Llama", "nodes": [...], ...}

Integraties

chainllmcodehttprequestiflmchatopenroutern8n-nodes-tesseractjs.tesseractnodeoutputparserstructuredsettelegramtelegramtrigger

Haal deze workflow op

Download en importeer met één klik

JSON downloadenBekijken op n8n.io
Knooppunten13
Complexiteitmedium
Triggertrigger
Weergaven1,165

Gemaakt door

Khairul Muhtadin

Khairul Muhtadin

@khmuhtadin

Tags

chainllmcodehttprequestiflmchatopenroutern8n-nodes-tesseractjs.tesseractnodeoutputparserstructuredsettelegramtelegramtrigger

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