AI-Powered Invoice Data Extraction
Extract invoice data automatically instead of retyping it: OCR plus AI reads invoice numbers, line items, and tax rates from any format, catches duplicates, and posts straight to SAP — 2 minutes instead of 24 hours per invoice.
Open a PDF invoice and find the invoice number — takes you two seconds. A computer in the nineties would have failed at it.
Today, the same thing costs one AI API call and lands at 95 to 99 percent accuracy. Even when the supplier writes "Ref no." instead of "Invoice number". Even when the invoice is a crooked phone photo.
So the question is no longer whether this works. It's why three people in your company spend every day transferring the same five fields into SAP — at 500 invoices a month, that's 33 hours of typing per week.
This showcase walks the full route from "PDF in the inbox" to "posted in SAP" — with duplicate blocking, plausibility checks, and a human only where the AI is uncertain.
Automation Workflow
How the automated invoice processing works step by step
Before vs. After
| Aspekt | Before | After |
|---|---|---|
| Data Entry | Manual data entry from PDF invoices | Automatic OCR extraction with AI validation |
| Processing Time | 15-20 minutes per invoice | 2-3 minutes end-to-end |
| Error Rate | Up to 8% in data entry | Below 0.5% |
| Duplicate Detection | No automatic detection | Intelligent duplicate detection |
The Challenge
Invoice processing consumes significant resources in many organizations. Typical scenario: Monthly, over 500 invoices from more than 200 suppliers arrive via email, mail, and fax. Three full-time employees spend their workdays transferring data from PDFs, scanned documents, and images manually into SAP. Invoices come in wildly different formats: invoice numbers positioned top left on some, bottom right on others, various languages. Every wrong number means reconciliation problems at month-end. Error rates hover around 8% - leading to duplicate payments, missed early payment discounts, and frustrated suppliers. Average processing time per invoice is 4 minutes, adding up to 33 hours of pure data entry per week. Audits are problematic since traceability is lacking. Annual costs for late fees and missed discounts easily exceed €50,000. The monotonous work leads to high department turnover.
Our Solution
A fully automated, AI-powered invoice processing solution combines OCR technology with intelligent data validation. Google Cloud Vision handles initial text recognition, processing invoices in any format, language, and quality level - whether clean PDF, photographed receipt, or fax. OpenAI GPT-4 analyzes extracted data contextually, automatically recognizing where each piece of information is located: invoice number, date, line items, VAT, payment terms. The system continuously learns from processed invoices and improves its recognition rate. Multi-stage validation checks data plausibility: Is the VAT calculation correct? Does the supplier exist in the system? Has this invoice already been submitted? Duplicates are reliably detected and blocked. After successful validation, data transfers automatically to SAP with correct cost center assignment - based on machine learning that learns from historical booking patterns. When uncertainties arise, invoices go for manual review, complete with AI-generated suggestions and confidence scores.
Key Features
Intelligent OCR
Advanced OCR technology that handles various invoice formats and languages
AI Validation
Machine learning validates extracted data against historical patterns and business rules
Auto-Categorization
Automatically categorizes expenses and assigns to correct cost centers
Duplicate Detection
Prevents duplicate payments with intelligent invoice matching
Results
Possible setup, not a packaged product
The figures shown are target values and expected magnitudes for a possible setup – based on industry benchmarks, public studies of comparable setups, and our own tests on a real stack. They are not measured outcomes from a specific customer project; actual results depend on company size, process maturity, and integration depth. We do not offer this setup as a packaged product. We help teams design, automate, and run such processes themselves – through architecture consulting, workshops, and implementation support with n8n. For regulated third-party systems with certification or license requirements (e.g. HIS, gematik, DATEV-certified), we partner with specialized providers.
Processing time down from 24 hours to 2 minutes per invoice, 97% extraction accuracy, 80% lower costs — and three employees doing something other than retyping.
Integrations
Seamless connection to your existing infrastructure
SAP S/4HANA
ERP SystemDirect integration via SAP BTP API for invoice booking and cost center assignment
Google Cloud Vision
OCR EngineState-of-the-art OCR technology for reliable text recognition from any document
OpenAI GPT-4
AI ValidationIntelligent validation and categorization of invoice data
PostgreSQL
DatabaseHigh-performance database for duplicate detection and data storage
Technology Stack
Frequently Asked Questions
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