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Library / Documents, PDF & OCR

Documents, PDF & OCR

Check supplier invoices for fraud with PaperOffice AI and human review

When a form is submitted, it reads and extracts data from documents.

What it does

## Stop invoice fraud before payment Who it is for: accounts payable teams, controllers and ERP integrators who need a payment gate against changed bank details, duplicates and over-billing. What it does: every invoice is archived and checked in PaperOffice AI, then a human decides. This workflow never releases a payment. ### How it works 1. Upload invoice → Archive invoice stores the PDF, Extract invoice reads it. 2. Full-text searches in your workspace find earlier invoices of the supplier, the order, the delivery note and the same invoice number. 3. Evaluate checks: IBAN against earlier invoices (match / changed / unknown), duplicates, order and delivery note. Anything unclear is a finding. 4. Add check report writes the result to the document, Queue for human review creates the HITL task. 5. Review decision (signed webhook) tags the invoice *ready for payment* or *blocked*. ### Requirements - PaperOffice AI plan with Workflow AI (HITL agents) and a user token (po_ut_…) - A HITL agent bound to your invoice workspace ### Setup steps (about 10 minutes) 1. Bearer credential with your PaperOffice AI token (Account → API) in all PaperOffice nodes. 2. Settings: workspace ID and HITL agent UUID. 3. In the HITL agent, set the webhook URL to the production URL of Review decision; put the signing secret into Compute signature. Then activate. ### Customization - Optional deep check with AI-DMS Ultra. - Swap the form for Gmail, Outlook or Google Drive. API reference: llms.txt

The steps

  1. Upload invoice
  2. Settings
  3. Archive invoice
  4. Check upload
  5. Extract invoice
  6. Read invoice
  7. Find earlier invoices
  8. Find blocked invoices
  9. Find blocked invoices with this IBAN
  10. Find order and delivery note
  11. Find same invoice number
  12. Duplicate check
  13. Pick documents to read
  14. Read document text

35 steps in total.

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