Passive by default
A single frame is enough — no awkward head turns for genuine users.
Face API · presentation attack detection
Liveness detection API.
Make sure there's a real, present person in front of the camera. SIMSIM's liveness check flags printed photos, screen replays and masks before you trust a face.
POST /v1/livenessEndpoint
One call. Structured JSON back.
Same token, same error model and the same response conventions as every other SIMSIM endpoint.
POST/v1/livenessTell a real, present person from a printed photo, screen replay or mask.
Capabilities
What you can build.
Print & replay attacks
Detects photos held up to the camera and videos played on a screen.
Score plus verdict
Use the boolean for simple flows or the score for risk-based rules.
Pairs with verification
Run liveness and 1:1 match together for defensible KYC.
Use cases
Where teams use it.
FAQ
Liveness Detection questions.
Passive or active liveness — which is better?
Passive gives the best conversion; active adds friction but extra assurance. Many teams run passive first and step up to active only for risky sessions.
Does liveness stop deepfakes?
Liveness targets presentation attacks at the camera. Injection attacks — synthetic video fed straight into the pipeline — also need device and capture-integrity controls. See our guide.
Is SIMSIM's liveness certified?
Ask us for current test documentation. When comparing vendors, look for evaluation against ISO/IEC 30107-3.
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