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.

+38%
Pass-on-first-try rate
<400ms
On-device quality check
9 types
Government ID classes supported
$0.008
Per verification
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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

1

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'.

2

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.

3

Fraud Signals

Optional anti-spoof models detect screen captures, paper printouts, and basic deepfakes before the image is uploaded.

4

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

+38%
First-Try Pass Rate

Increase in users completing capture without retries

-42%
Onboarding Drop-Off

Reduction in abandonment at the ID step

-28%
KYC Vendor Cost

Lower cost-per-onboarded-user from fewer retries

<400ms
Capture Check

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.

Get in Touch

Questions about pricing, integrations, or custom deployments? We'd love to hear from you.