Solutions · KYC & identity

Deepfake Detection for KYC & Identity Verification.

AI face-swaps and synthetic identities are built to pass liveness and document checks. Add a deepfake and manipulation check before an account is ever approved.

  • Screen selfie and liveness frames for face-swaps and AI-generated faces
  • Check ID document images for AI manipulation and tampering
  • Drop into your onboarding pipeline with one REST API
The problem

Synthetic identities are passing traditional checks.

Liveness alone is no longer enough.

Face-swap and fully synthetic faces are now good enough to clear many liveness and document-verification steps, and injection attacks can feed manipulated media straight into the flow. For regulated onboarding, a single approved synthetic identity means fraud losses, remediation, and regulatory exposure. A deepfake-specific check adds a distinct signal layer on top of your existing identity stack — one that is looking specifically for the artefacts of AI generation and manipulation, not just whether a face is present and live.

How Deepfake Detector helps

Built for KYC teams.

One detection layer across the media your onboarding already collects.

Face & liveness analysis

Analyze selfies and liveness frames for face-swap, morphing, and GAN-generated faces across every major image and video generator.

Document image checks

Flag AI-manipulated or synthetically generated ID document images before they are accepted into your record of truth.

One API into your flow

A single REST endpoint returns a verdict and confidence score you can gate approvals on — no rip-and-replace of your IDV vendor.

How it works

Three steps, seconds to a verdict.

1 · Submit

POST the selfie, liveness frame, or document image to the API from inside your onboarding step.

2 · Analyze

Multiple forensic signals run in parallel against the media, tuned to the artefacts of AI generation and editing.

3 · Decide

Get a clear verdict and confidence score back in seconds to allow, review, or block — files are purged after the scan.

FAQ

KYC teams — questions.

Can it catch face-swaps used in liveness checks?

Yes — the detector analyzes image and video frames for the signals left by face-swap and AI face generation, which is a different question than whether a live person is present. It is designed to run alongside your existing liveness vendor as an added signal layer.

Does it replace our identity-verification provider?

No. It complements your IDV/liveness stack. You keep your provider and add a deepfake-specific check via API at the point where you already have the media.

What media types are supported?

Images, video, and audio — so it covers selfies, document photos, liveness clips, and voice-based verification.

Where is uploaded data stored?

Files are purged after analysis. See our Privacy Policy for the full data-handling detail before you integrate.

Related: KYC deepfake detection guide · Deepfake Detection API · AI Image Detector

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