Intelligent Document Recognition for invoices
Extracts header and line-item data from invoices, POs, and receipts — in any language, from images or PDFs — and drops it into Payables for review.
AP / Invoice AgentWhat it does
Intelligent Document Recognition reads invoices, POs, expense receipts, and other AP documents — images, scanned PDFs, EDI feeds — and extracts the structured fields (supplier, date, amount, line items, tax codes). It works across many languages and formats, and improves with use as it sees more of your supplier base.
The output lands in Oracle Payables as a draft invoice for an AP clerk to validate and post.
Why it matters
This is the highest-volume AI use case in ERP. A typical AP team spends 60–70% of its time keying or matching invoice data. With IDR doing the extraction, clerks spend their time on exceptions instead of typing.
What an AP clerk now does
- AI extracts the invoice → draft created in Payables.
- Clerk reviews on screen — fields highlighted by confidence score.
- Low-confidence fields are flagged for the clerk to confirm.
- Once validated, the invoice flows into the existing match-and-approve workflow.
Limitations to know
- Net-new suppliers without a learned template may need a few invoices before accuracy stabilizes.
- Handwritten receipts (rare in B2B) still struggle.
- Country-specific tax fields sometimes need a configuration nudge.
For most AP teams, accuracy on the 80%+ of invoices that come from repeat suppliers is high enough to redirect headcount toward exception handling and supplier management.
Action checklist
Tap each step as you complete it.