# What is invoice data extraction?
Invoice data extraction is the automated process of identifying and capturing specific data fields from invoice documents using OCR, AI, and machine learning. The system extracts: header data (vendor name, address, invoice number, date, due date, PO number), line item details (product/service description, quantity, unit price, amount, tax), totals (subtotal, tax amount, total), and payment information (bank details, payment terms). Advanced extraction handles: various invoice layouts and formats, tables with multiple columns, handwritten or poor quality text, multi-page invoices, foreign languages and currencies, complex calculations, and nested line items. Extraction accuracy typically reaches 95-99%, with confidence scoring to flag uncertain data for human review. Extracted data is validated against business rules, formatted consistently, and exported to downstream systems in structured formats (JSON, XML, CSV).
## Key Takeaways
- Invoice data extraction is the automated process of identifying and capturing specific data fields from invoice documents using OCR, AI, and machine learning.
- The system extracts: header data (vendor name, address, invoice number, date, due date, PO number), line item details (product/service description, quantity, unit price, amount, tax), totals (subtotal, tax amount, total), and payment information (bank details, payment terms).
- Advanced extraction handles: various invoice layouts and formats, tables with multiple columns, handwritten or poor quality text, multi-page invoices, foreign languages and currencies, complex calculations, and nested line items.
## Related Topics
- invoice data extraction
- automated data capture
- invoice parsing
- extract invoice data