Compare
Generic OCR vs ID-document OCR: Tesseract, cloud, Mahad
Generic OCR engines turn an image into text; an identity-document API turns it into named, checked fields. Mahad OCR itself uses the open-source Tesseract engine on its server, then adds two independent AI readers, ICAO 9303 check digits, country ID-number rules and a ✓/⚠ status for every field. If you only need raw text, a generic OCR engine may be all you need.
What to check
| What to check | Generic text OCR | Mahad OCR |
|---|---|---|
| Output | Text (lines, words, positions) | Named fields (document_number, date_of_birth …) plus text for general documents |
| MRZ check digits | You implement them | Verified on the server (TD3, TD1, MRV-A) |
| Field evidence | You build it | Per field: mrz_checksum, reader_agree, text_layer, arithmetic, single_reader |
| Disagreement handling | You build it | Disputed values withheld from values; document goes to review |
| ID-number rules | You implement them | QID, Emirates ID, Saudi ID/Iqama, Kuwait Civil ID, Bahrain CPR, Aadhaar, PAN — as evidence |
| Hosting | Tesseract runs anywhere you install it | Hosted API only |
| Cost model | Tesseract is free software; cloud OCR is priced per page by each provider | Plans by documents per month; free Sandbox (50/month) |
What the generic options are
Tesseract is an open-source OCR engine released under the Apache License 2.0. It recognises text; extracting and checking fields is left to you.
The large cloud providers offer text-detection APIs, and some also offer prebuilt models for identity documents. Their coverage of document types and countries changes over time, so check each provider’s current documentation before deciding.
Where Mahad OCR adds work you would otherwise build
Parsing the MRZ and checking its digits, asking two independent readers and comparing them, withholding disputed values, applying country ID-number rules, and returning a per-field status your form can show as ✓ or ⚠.
When Mahad OCR is not the right choice
- You only need the text of a page, at very high volume, at the lowest cost — a generic OCR engine is simpler.
- You must run fully offline or on your own servers — Tesseract can; Mahad OCR cannot.
- You need documents or scripts outside English and Arabic as a core requirement — test carefully before choosing Mahad OCR.
Sources
Frequently asked questions
Does Mahad OCR use Tesseract?
Yes, on its own server, with English, Arabic, Hindi and Urdu language packs, and for the free MRZ path. Two AI readers do most of the field reading.
Can I build ID extraction on Tesseract myself?
Yes. You would add field extraction, MRZ parsing and check digits, comparison of readings, country ID rules and a review step. That is the work Mahad OCR packages.
Is generic cloud OCR worse for IDs?
Not necessarily — some providers offer identity-document models. Compare them on the checklist: evidence per field, handling of unconfirmed values, supported documents, and data retention.
When is generic OCR the better choice?
When you need raw text rather than checked fields, must run offline, or process very large volumes where per-document review is not needed.
Does Mahad OCR return raw text too?
For general documents, yes — result text up to 20,000 characters, alongside the fields.