AI document extraction identifies and structures selected information from invoices, quotations, orders and other business documents. It combines document recognition with models or rules that map text and layout into fields. The extracted data remains a proposed interpretation until it passes the required validation.
What can be extracted?
- Supplier, buyer and contact details
- Document number, date and currency
- Line descriptions, quantities, units and prices
- Taxes, discounts, fees and totals
- Payment terms, bank details and references
How does the workflow operate?
- Capture the source file and preserve its identity.
- Classify the document and detect relevant regions.
- Extract fields and attach confidence or validation results.
- Apply business rules and route exceptions for review.
- Post approved data with a link back to the source.
Extraction vs. OCR
Optical character recognition converts visual text into machine-readable text. AI extraction interprets that text and layout to identify business fields and relationships. Good OCR does not guarantee that a total, tax or account number was assigned to the correct field.
What controls are needed?
Validate critical fields against totals, supplier records and transaction context. Track corrections by field and document type. Bank-detail changes, payment amounts and tax decisions should not bypass the controls that apply to manually entered data.
