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Document AI

We turn invoices, bills, forms and PDFs into checked, structured records, then match them against your own data and send exceptions to a person.

Zryth · October 2026 · 4 min read

Documents are where the manual work hides

Invoices arrive as PDFs, bills as photographs, forms as scans. Someone reads each one, types it into a system and checks it against something else. That is slow, and it is where mistakes get in.

What Document AI does

  • Reads printed and handwritten documents and extracts the fields a person would type
  • Keeps each value linked to where it was read, so it can be checked
  • Normalises names, dates and amounts before matching
  • Matches against your records and applies your business rules
  • Sends anything uncertain or inconsistent to a person for review

Where it helps

  • Purchase bills against purchase orders, for mills and manufacturers
  • Question papers and study material turned into structured content, for publishers
  • Ledger, GST and TDS reconciliation, for CA firms and finance teams
  • Forms and applications entered into a system

What we provide

  • Mapping of your documents and the rules that govern them
  • An extraction pipeline tuned to your document types, handwriting included
  • Matching and exception review built around your records
  • Integration with your accounting or operations software
  • Measurement of accuracy on your own documents

What it has done

Results from our own published work: at a mill, bill verification accuracy rose from roughly 70–75% to 98%. For an education client, cost per question fell from about ₹12 to ₹5. At a CA firm, audits now run roughly 60% faster.

Tell us where the time goes. We will show you what it could look like.


Zryth Services

What Document AI covers, where it helps, and the results it has produced in our own work.

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