AI invoice extraction
Manual invoice handling is inefficient. PDF invoices lack structured data, slowing processes, increasing errors, and limiting automation. Here’s how AI invoice extraction can help.
Our AI-driven PDF invoice capture tool provides immediate AI invoice extraction by transforming unstructured invoices into structured, machine-readable data with AI-driven enrichment and validation — helping businesses streamline invoice processing and improve financial operations. The tool is a lightweight version of our solution for digital transaction management.
Features
- Upload a PDF invoice – No setup or login
- Extract key invoice data – AI-powered extraction of invoice fields and line items
- Convert to structured XML – Instantly available XML in Peppol BIS Billing format for seamless processing
- Classified line items — Immediate insights according to UNSPSC taxonomy
- Compliance — automated validation of invoice content
- Free
What is AI invoice extraction?
AI invoice extraction is the process of using artificial intelligence to automatically identify, extract, and structure key data from invoice documents—such as PDFs or scans. Unlike traditional OCR, AI can understand varying formats, interpret context, and improve accuracy over time.
How is invoice extraction with AI different from regular OCR?
Traditional OCR simply identifies and converts text from an image or PDF. On the other hand, AI extraction goes further by understanding the structure and meaning of the invoice content. It can detect fields like invoice number, dates, totals, and line items—even if the layout varies between suppliers.
What types of data can be extracted with AI?
AI can extract a wide range of invoice details, including:
- Payment terms and bank details
- Supplier and buyer information
- Invoice and due dates
- Invoice numbers and references
- Line items with descriptions, quantities, and prices
- VAT, currency, and totals
What are the benefits of invoice extraction using AI?
The main benefits include:
- Reduced manual data entry
- Improved data accuracy
- Faster invoice processing
- Better scalability
- Readiness for automation, analytics, and system integration
What happens after the data is extracted?
Once the invoice data is extracted with Qvalia’s PDF Invoice Capture, it’s automatically structured into XML and ready for downstream processing. The tool applies AI-powered enrichment to identify and validate key fields, classify line items (e.g., using UNSPSC taxonomy), and provide a clean, structured dataset. This structured output can then be used for automation, reconciliation, accounting integration, or analytics—enabling smarter, faster, and more accurate financial processes.