AI Document & ID Photo Verification
Capture clean, complete ID photos on the first try. VerifyAI guides the user, checks document quality, and surfaces fraud signals before the image ever leaves the device.
Why ID Capture Fails for So Many Users
Common challenges teams face without automated verification
Blurry, Cropped, Glare-Filled Photos
Users submit IDs that are out of focus, partially cropped, or covered in flash glare. Verification fails, and the user retries — or abandons the flow.
Wrong Side of the Document
Front-only when both sides are needed. Or the back of an unrelated card. Without document-class detection, downstream KYC vendors reject the submission.
Slow, Cloud-Only Pipelines
Server-side quality checks take seconds and require the user to wait. By the time they get feedback, they've given up.
Cost of Re-Verification
Every failed capture means another vendor call. Costs compound when 30%+ of users have to try twice or more.
Fraud Misses
Obvious fraud — screenshots of an ID, photo-of-a-photo, ID printed on paper — slips past human reviewers and basic OCR pipelines.
How It Works
Guided Capture
User opens the ID flow in your app. VerifyAI's camera UI overlays a document frame and gives real-time guidance: 'Move closer', 'Hold steady', 'Reduce glare'.
On-Device Quality + Class Check
AI confirms the document is in frame, sharp, glare-free, and is the expected class (driver's license, passport, national ID). Wrong-side and wrong-document errors are caught instantly.
Fraud Signals
Optional anti-spoof models detect screen captures, paper printouts, and basic deepfakes before the image is uploaded.
Pass to KYC Pipeline
Only clean, verified-quality images flow through to your KYC/AML vendor (Jumio, Onfido, Persona, in-house). Costs drop and downstream pass rates rise.
Key Features
Real-Time Capture Guidance
Inline overlay and haptic prompts coach the user through framing, focus, glare reduction, and four-corner visibility — like a built-in scanning tutor.
Document Class Detection
Distinguishes driver's licenses, passports, national IDs, residence permits, and other government-issued classes. Catches wrong-document submissions instantly.
Front/Back Sequencing
When both sides are required, the SDK enforces a guided two-shot flow and confirms each side is correctly captured before moving on.
Anti-Spoof Signals
Optional models flag screen captures, paper photos-of-photos, and obvious print fraud — adding a low-cost layer before expensive cloud KYC checks.
On-Device Privacy
Quality checks run fully on-device. Only validated, user-approved images are uploaded, reducing PII exposure and supporting GDPR/CCPA posture.
KYC Vendor Compatible
Works in front of any KYC/AML provider. Send only clean images downstream and cut your cost-per-onboarded-user materially.
Measurable Impact
Increase in users completing capture without retries
Reduction in abandonment at the ID step
Lower cost-per-onboarded-user from fewer retries
On-device latency per image
Frequently Asked Questions
Capture Clean IDs On the First Try
Cut KYC vendor spend, reduce onboarding drop-off, and add anti-spoof signals at the edge. Start your free sandbox today.