Deepfake API
A single detector. You hand it a file (photo, video, or audio) and it answers one question: is this fake? No KYC flow.
Docver
An end-to-end identity-verification flow: is this a real person, is this their genuine document, and is it really them?
In plain terms
Deepfake API is one building block. It doesn’t know who is in front of the camera, doesn’t match a face against a document, and doesn’t check whether the person is live. You drop it into your own process when you only need to catch deepfakes — content moderation, reviewing an interview recording, analyzing a voice message. Docver is a turnkey identity check. During onboarding the user takes a selfie and captures a document, and Docver runs the whole chain at once: it confirms a live person (not a photo, mask, or screen), that the face isn’t manipulated, that the document is genuine, and that the selfie matches the document. It’s for teams that need full KYC/AML onboarding rather than a standalone detector.Who it’s for
Capability comparison
Inside Docver, deepfake detection is just one layer — and only on images. The flow runs: Liveness + Spoofing → Deepfake (selfie) → Face coverage & quality → Document fraud → Document spoofing → Face comparison.