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Apragya AI
Docs · AI & Automation

Intelligent Document Processing: turn PDFs into structured data

Automatic extraction from invoices, contracts, receipts, forms, and unstructured documents into the fields your enterprise apps need.

Intelligent Document Processing (IDP) is the platform capability that turns unstructured documents - PDFs, scans, photos, emails - into structured data your enterprise apps can act on. Instead of a human keying an invoice into Invoice & AP, the document lands, IDP extracts, and the record is queued for review with the fields pre-populated.

Documents supported

  • Invoices - supplier bills with line items, tax breakdowns, totals
  • Purchase orders - inbound POs when you're the vendor
  • Contracts - clause identification, key dates, renewal terms, party details
  • Receipts and expense claims - itemised extraction from photos and scans
  • Forms - onboarding paperwork, KYC docs, insurance claims, whatever your business processes
  • Emails with attachments - the whole thing gets triaged and routed to the right app

Where it plugs in

IDP isn't a standalone app; it's a capability that lights up wherever documents enter your workflows. Invoice & AP uses it for supplier bills. Contract Management uses it for the contract-review flow. Sales uses it for signed order confirmations. The extractors are shared, but the tuning is per-app so an invoice's "total" and a contract's "total contract value" don't get confused.

Accuracy and review

Modern IDP is very accurate but rarely 100%. Every extraction includes a confidence score; anything below your configured threshold pauses for a human review. Reviewers correct the extraction inline, and the corrections feed back into the model so the same vendor's next invoice is more accurate. Over a few months of use, most tenants see their touch-rate drop below 5% for their common document types.

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