Resemble Scores the Media.Facia Verifies the Person.
Resemble AI scores whether media is synthetic. Facia combines liveness, deepfake detection and face matching to confirm a real, present, matching person in one flow.
One score vs one verdict.
Resemble AI tells you if the media is synthetic. Facia tells you if the person is real, live and the right one.
Is this media synthetic?
Is this a real, live, matching person?
Everything side by side.
Nothing hidden.
A complete look at where each platform stands across every capability that matters.
| Capability | ◆ Facia | Resemble AI |
|---|---|---|
| Core question | Is the right person really there?Person-first | Is this file AI-generated?File-first |
| What you receive | A clear pass or fail on the personDecision-ready | A probability that media is syntheticNeeds your own rules |
| Liveness | Active and passive modes includediBeta Level 2 tested | Handled by a separate providerExtra integration |
| Deepfake Detection | Standalone + integrated detectionDeepLiveness + API | AI-generated media detectionMedia Analysis |
| Face & ID Matching | Selfie-to-ID + 1:N searchBuilt-In Matching | Not IncludedSeparate IDV Required |
| Best-Fit Workflows | KYC, onboarding + fraud preventionIdentity + Fraud Protection | Media screeningMedia Authenticity |
Frequently Asked Questions
Find answers to your most common questions in our FAQ section.
Liveness detection is a biometric security check that confirms the face in front of the camera belongs to a real, live person, not a photo, a video replay, a mask or a deepfake injected into the camera stream.
Basic liveness checks that rely on a single cue, such as blinking or head movement, can be fooled by high-quality replays, 3D masks or injected deepfake video. Stronger systems combine passive and active checks with deepfake and injection-attack detection, and are independently tested, as Facia is at iBeta Level 2.
3D liveness is an advanced form of biometric authentication, a technology that verifies your identity using unique physical characteristics. Unlike traditional methods that use 2D images (like a flat photograph), 3D liveness creates a three-dimensional map of your face which ensures you're not an imposter.
In Know Your Customer (KYC) processes, a liveness check is used to verify that the individual presenting their identity is physically present and real. It's a crucial step in remote or digital KYC to prevent identity fraud, ensuring that the identity documents are not being presented by an imposter.
Anti-Spoofing Presentation Attack Detection in liveness checks is a security feature that identifies and prevents attempts to trick biometric systems using false representations, such as photos, videos, masks, or other artificial artifacts. It's essential for maintaining the integrity and reliability of biometric authentication systems.
In biometrics, liveness detection verifies that a biometric sample, such as a face, is captured from a live human at the time of the check. It protects face recognition systems from spoofing and presentation attacks.