Facia vs Resemble AI

Facia vs Resemble AI

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.

Facia
✓ Recommended
Verified user
✓ No deepfake found
✓ Live person
✓ Matched to ID
VS
Resemble AI
Media file check
Media being analysed
› Media received
› Score: 0.87
› Label: synthetic

What you get back

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.

Resemble AIReturns a score

Is this media synthetic?

▶Media fileInput
◈Synthetic media detectorResemble AI
Standalone check: media detection only1 signal
FaciaReturns a verdict

Is this a real, live, matching person?

◉Live captureInput
Deepfake detection✓ Real
Liveness✓ Live
Face match
Deepfake→Liveness→Match→Verified1 verdict

Full comparison

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

Trusted and Certified for Compliance

Fastest Liveness Detection Technology


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.