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
- Upload invoice
- Settings
- Archive invoice
- Check upload
- Extract invoice
- Read invoice
- Find earlier invoices
- Find blocked invoices
- Find blocked invoices with this IBAN
- Find order and delivery note
- Find same invoice number
- Duplicate check
- Pick documents to read
- Read document text
35 steps in total.
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