Automation

OCR Confidence Check: How Mahad OCR Verifies Every Field

30 Sep 2026·Mahad OCR team·2 min read

OCR Confidence Check: How Mahad OCR Verifies Every Field

Most OCR tools give you text and a number between 0 and 1. The number looks precise, but it does not tell you why a value should be trusted, or what to do when it should not. Mahad OCR takes a different approach: every field it returns carries a plain mark and the evidence behind it.

✓ Confirmed — and why

A field is marked ✓ only when there is evidence for it. The evidence is named in the result, so you can see it:

⚠ Check it — and the reason

When the evidence is not there, the field is marked ⚠ with the reason, so a person knows exactly what to look at:

It never invents a value

If a field cannot be read, it is left empty and marked ⚠ — it is never filled with a guess. For identity documents this matters more than anything: a wrong passport number is worse than an empty one.

What you do with it

The result has a single decision for the whole document: verified when every required field is confirmed, review when at least one field needs a person, or rescan when the photo itself is the problem. Your system can accept verified documents automatically and send the rest to the built-in review screen, where a person corrects the ⚠ fields and approves.

{
  "status": "review",
  "result": {
    "decision": "review",
    "values": { "surname": "ERIKSSON", "document_number": "L898902C3" },
    "field_evidence": { "surname": "corroborated", "document_number": "deterministic" },
    "review_reasons": ["Expiry date: glare hid it — please check"]
  }
}

That is the whole idea: fewer numbers to interpret, and a clear next step for every field.

Try Mahad OCR on your own documents

Start on the free plan: passports, IDs, invoices, CVs and more — every field marked ✓ confirmed or ⚠ check it.

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