Automate Invoice Data Extraction with OCR and SAP Integration
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Streamline your invoice processing by automatically extracting key data using OCR technology via Telegram and seamlessly integrating with SAP. This workflow leverages powerful AI to identify and structure invoice details, eliminating manual data entry and reducing errors.
About This Workflow
This n8n workflow automates the tedious process of invoice data extraction and integration with SAP. It starts by waiting for a callback query on Telegram, indicating user interaction. Once triggered, it utilizes a sophisticated Large Language Model (LLM) chain, powered by OpenAI's GPT-4o-mini, to accurately identify and extract critical invoice fields such as vendor name, RUC, address, invoice number, issue date, product details, subtotals, discounts, and net totals. The extracted data is then meticulously structured into a JSON format. The workflow includes logic to split out product details for potential further processing and then merges them back. Finally, it establishes a connection to SAP using provided credentials to transfer the structured invoice data, significantly enhancing operational efficiency and data accuracy.
Key Features
- Automated Invoice Data Extraction: Leverage advanced AI to pull essential information from invoices.
- Telegram Integration: Initiate and manage invoice processing workflows via familiar chat interfaces.
- SAP Connectivity: Seamlessly transfer extracted data into your SAP system for streamlined accounting.
- Structured JSON Output: Receive precise, machine-readable data for further analysis or processing.
- Error Reduction: Minimize manual data entry errors for increased accuracy and compliance.
How To Use
- Configure Telegram Trigger: Set up the
TelegramTriggernode (Callback Waiting Answer) with your bot token and ensure it's listening forcallback_queryupdates. Configure theswitchnode (Answer?) to respond to specific callback data like 'respuesta_si' or 'respuesta_no'. - Define LLM Prompt: In the
Basic LLM Chainnode, configure theOpenAI Chat Modeland set up the prompt. Clearly define the exact JSON structure and fields you want to extract (e.g.,nombre_proveedor,numero_factura,detalle_productos, etc.). Specify the desired output format (YYYY-MM-DD for dates) and instruct the LLM to return null for missing fields and only the JSON output. - SAP Connection Details: In the
Connect to SAPnode (httpRequest), configure the URL, HTTP method (POST), and JSON body. Use n8n's built-in variables ($vars.url_sap,$vars.user_sap,$vars.password_sap,$vars.company_db) to securely store and inject your SAP connection credentials. - Data Handling: Utilize the
Split Outnode to process individual product lines from thedetalle_productosarray if further manipulation is needed. TheMergenode is used to combine data after potential splitting. - Workflow Execution: Trigger the workflow by sending a message or callback to your Telegram bot. The workflow will then process the invoice data and attempt to connect to SAP.
Apps Used
Workflow JSON
{
"id": "daf4f87a-9fce-48f7-b231-9f033102da9e",
"name": "Automate Invoice Data Extraction with OCR and SAP Integration",
"nodes": 29,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: daf4f87a-9fce...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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