Invoice Data Extraction uses AI to parse supplier invoices from PDF, image, and electronic formats into structured AP records, enabling straight-through invoice processing and faster payment cycles, by applying document intelligence to variable-format supplier invoices, across accounts payable and ERP integration workflows.
Accounts payable teams manually key data from thousands of supplier invoices per month into the ERP, a labour-intensive process prone to keying errors, slow during peak periods, and unable to scale with invoice volume growth. Non-standard supplier formats and missing reference fields create systematic matching failures that require manual resolution.
The AI parses incoming invoices to extract header fields (vendor ID, invoice number, date, total amount, tax amounts) and line items (description, quantity, unit price, GL code hint) into a structured AP payload. Fields that cannot be extracted with sufficient confidence trigger a human review step before ERP import.
Invoice straight-through processing rate increases; AP keying cost per invoice decreases.
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