I'm building an ID verification flow and need OCR for passports and licenses

For an ID verification flow, OCR alone usually isn’t enough — you’ll want document detection + OCR + field parsing + fraud checks.

What to extract

For passports and driver’s licenses, the most common fields are:

• Full name
• Date of birth
• Document number
• Expiration date
• Issue date (licenses)
• Issuing country / state
• Nationality (passports)
• MRZ on passports and many IDs
• Optional: address (licenses), sex, height, eye color

Best practice architecture

1. Capture

   • Auto-detect document edges
   • Ensure glare/blur checks
   • Ask for front/back for licenses
   • Ask for passport main page

2. Classify document

   • Passport vs driver’s license vs national ID
   • Front/back detection

3. OCR

   • Use OCR tuned for:
     • printed text
     • MRZ on passports
     • small-font license text
   • Normalize rotations and perspective

4. Parse fields

   • Use templates or ML-based field extraction
   • MRZ parsing for passports is highly reliable

5. Validate

   • MRZ checksum validation
   • Date format checks
   • Expiration checks
   • Cross-field consistency

6. Fraud / quality checks

   • Blur, glare, cropping, tamper detection
   • Face match with selfie if needed
   • Liveness detection if you verify identity remotely

OCR options

You can build this with:

• Cloud OCR APIs: Google Vision, AWS Textract, Azure Document Intelligence
• ID verification vendors: Onfido, Jumio, Persona, Veriff, Stripe Identity
• Open-source / custom:
  • Tesseract + MRZ parser
  • PaddleOCR / EasyOCR
  • Custom CV model for document classification and field localization

Recommendation

If this is for a production KYC flow, I’d recommend:

• passport MRZ parsing
• license front/back OCR
• quality checks
• face/selfie match
• manual review fallback

If you want, I can help with any of these next:

1. Recommend the best OCR stack for your budget
2. Design the end-to-end ID verification pipeline
3. Provide sample code for passport/license OCR
4. Help with MRZ parsing and field extraction