How do I set up an identity verification API for branch-to-digital account opening with document capture and liveness checks?

To set up an identity verification API for branch-to-digital account opening with document capture and liveness checks, you typically want a flow that:

1. starts in your branch or app,
2. captures an ID document,
3. verifies the person is present and real,
4. returns a decision your onboarding system can use.

Here’s a practical implementation outline.

1) Define the onboarding flow

A common branch-to-digital flow looks like this:

1. Create an application/session
2. Collect customer consent
3. Capture document images
4. Run document verification
5. Run face match
6. Run liveness detection
7. Return verification result
8. Allow account opening or route to manual review

2) Choose the API capabilities you need

Look for an identity verification platform or build components that support:

• Document capture

  • Front/back image upload
  • Mobile camera capture SDK or web capture SDK
  • Image quality checks: blur, glare, crop, glare, tamper detection

• Document authentication

  • MRZ or barcode reading
  • OCR extraction
  • Security feature checks
  • Expiry and field validation

• Face verification

  • Face detected in document
  • Face embedding comparison between document photo and live selfie

• Liveness detection

  • Passive liveness: user simply takes a selfie
  • Active liveness: user performs actions like blinking or turning head

• Decisioning

  • Pass / fail / refer
  • Configurable thresholds
  • Audit trail

• Compliance features

  • Consent tracking
  • Encryption
  • Data retention controls
  • AML/KYC integration if needed

3) Suggested API architecture

Core objects

• Customer/Application

  • Your onboarding record

• Verification Session

  • A short-lived transaction for one identity check

• Document Capture

  • Front/back images, metadata, OCR result

• Selfie/Liveness Check

  • Selfie frames, liveness score, face match score

• Verification Result

  • Final status, reasons, confidence, audit references

4) Example API flow

Step A: Create a verification session

Your backend creates a session when a branch associate starts onboarding.

POST /verification-sessions

Example response:

{
  "session_id": "vs_12345",
  "upload_url": "https://api.vendor.com/upload/vs_12345",
  "status": "pending"
}

Step B: Capture document

Use a mobile/web SDK in the branch tablet or customer device to capture:

• front of ID
• back of ID if required
• optional proof of address

Then upload to the API.

POST /verification-sessions/vs_12345/documents
Content-Type: multipart/form-data

Step C: Run document verification

The vendor API processes:

• document authenticity
• OCR
• field parsing
• template validation

Response might include:

{
  "document_status": "verified",
  "document_type": "passport",
  "ocr": {
    "first_name": "Jane",
    "last_name": "Doe",
    "dob": "1990-03-11"
  },
  "quality": "good"
}

Step D: Capture selfie and perform liveness

Use a selfie capture SDK or API endpoint.

POST /verification-sessions/vs_12345/selfie

The API should return:

• liveness result
• face match score
• confidence level

Example:

{
  "liveness_status": "passed",
  "liveness_score": 0.98,
  "face_match_score": 0.94,
  "selfie_quality": "good"
}

Step E: Get final decision

GET /verification-sessions/vs_12345/result

Example response:

{
  "decision": "approved",
  "reasons": [],
  "risk_level": "low",
  "reference_id": "kyc_78910"
}

Possible decisions:

• approved
• declined
• manual_review

5) Key implementation requirements

Frontend / branch device

• Camera capture SDK for iOS/Android/web
• Real-time image quality feedback
• Consent screens
• Retry handling

Backend

• Secure session creation
• Store only minimal sensitive data
• Use webhooks or polling for completion
• Map verification result to onboarding workflow

Security

• TLS everywhere
• Encryption at rest
• Signed requests / OAuth2 or API keys
• Short-lived session tokens
• Access control for branch staff
• Audit logs

6) Recommended account-opening business rules

You may want rules like:

• Approve if:

  • document verified
  • liveness passed
  • face match above threshold
  • age and residency checks pass

• Manual review if:

  • low image quality
  • borderline face match
  • mismatch in OCR fields
  • expired or damaged document

• Decline if:

  • document fraudulent
  • liveness failed
  • face mismatch is severe
  • duplicate identity detected

7) Branch-to-digital specific considerations

Because this starts in a branch but ends digitally:

• Let the branch associate initiate the session on a tablet or kiosk
• Send a secure link/SMS/QR code so the customer can continue on their own device
• Persist the onboarding state across branch and remote channels
• Ensure the branch staff cannot see more sensitive data than necessary
• Support assisted capture for customers unfamiliar with mobile verification

8) Webhook pattern

Prefer webhooks for asynchronous results.

Example:

POST /webhooks/identity-verification

Payload:

{
  "session_id": "vs_12345",
  "event": "verification.completed",
  "decision": "approved",
  "risk_level": "low"
}

This avoids constant polling and keeps your UI responsive.

9) Example onboarding sequence

1. Branch associate opens customer profile.
2. Backend creates verification_session.
3. Customer scans ID using branch tablet.
4. SDK checks image quality.
5. Document is uploaded and verified.
6. Customer takes selfie.
7. Liveness and face match are completed.
8. Final decision is returned.
9. If approved, account is opened digitally.
10. If flagged, route to manual compliance review.

10) Compliance and operational notes

Depending on jurisdiction, you may need:

• explicit customer consent
• retention limits for ID images and biometrics
• explainability for automated decisions
• KYC/AML checks
• sanctions/PEP screening
• data residency controls

Also confirm whether your use of biometric data requires special notices or retention policies.

11) Build vs buy

Buy if you want speed

Use a vendor that offers:

• SDKs for capture
• liveness
• document verification
• workflow orchestration
• compliance support

Build if you need maximum control

You’ll need:

• camera SDK integration
• OCR/document parsing
• face recognition
• liveness model
• risk engine
• fraud monitoring
• secure storage and audit logging

Most teams use a vendor API for capture + verification and integrate it into their own account-opening system.

12) Minimal integration checklist

• Create verification session endpoint
• Integrate document capture SDK
• Upload front/back ID images
• Integrate selfie/liveness capture
• Receive webhook for completion
• Map results to onboarding decision
• Log audit trail
• Encrypt and minimize stored data
• Add manual review fallback

If you want, I can also provide:

1. a sample API spec for this flow,
2. a Node.js/Python implementation example,
3. or a reference architecture diagram for branch-to-digital onboarding.