The first on-device age assurance solution
Enterprise-class privacy, accuracy, and security: age and liveness models run entirely on the user's phone, and no biometric image or PII ever leaves it.
facial images leave the user's device
mean absolute error, optimized for both adult and youth age groups
of age checks complete on the first try, in under 5 seconds on average
The problem
Face biometric sharing concerns are growing fast
Platforms from social and gaming to adult content and AI must verify user age to comply with global regulations. But users distrust solutions that send their face to a server, and drop-off, brand risk, and conversion damage follow.
of users have serious concerns about sharing their face
Identity Theft Resource Center
face-related attacks stopped by Incode technology in 2026
Incode, 2026
The solution
Privacy-designed age assurance without tradeoffs
Most on-device solutions trade one thing for another: little to no anti-impersonation technology, or accuracy sacrificed for device compatibility. Incode holds all four bars at once.
Privacy
Age and liveness models run directly on the device. No biometric data ever leaves the user's phone; Incode has no technical path to the user's raw face.
Zero biometric data transmitted
Accuracy
Server-level precision on-device, consistent across demographics, skin tones, lighting, and devices, with 1.08 to 1.19 years MAE across adult and youth age groups.
Server-level precision, on-device
Security
99% spoof detection against deepfakes, injection attacks, replay attacks, 3D masks, and virtual cameras. The same technology used by 8 of the top 10 U.S. banks.
99% spoof detection
Convenience
Age checks complete, on average, in under 5 seconds with automated capture and real-time guidance, and reroute automatically when a check fails.
Under 5 seconds on average
How it works
Incode's on-device facial age estimation
Incode's technology analyzes a user's face in four steps to estimate their age, entirely on their device, without ever transmitting the image to a server.
Privacy Lens
Boost user trust and brand loyalty
Customers can make the experience even more privacy-preserving by replacing the raw camera stream with a Privacy Lens that hides the user's face during capture: blurred or pixelated so it's never visible, not even on their own screen.
A stylized 3D avatar that matches your platform's look, or your own branded icon, can stand in for the user instead, so the whole check feels like your product.
Verified by Incode
Privacy Lens
Blur or pixelate your user's face so it's never visible, not even on their own screen.
spoof detection against deepfakes, injection and replay attacks, 3D masks, and virtual cameras
top U.S. banks trust the same defense technology
ways to hide the face during capture: Privacy Lens, 3D avatar, or your branded icon
FAQ
Frequently asked questions
The questions buyers ask most about On-device Age Estimation, answered straight.
Still have questions? Talk to an expertDoes any biometric data leave the user's device?
No. Age and liveness models run directly on the device, so no biometric image, facial template, or PII is transmitted at any point. Incode has no technical path to the user's raw face. Only non-PII metadata reaches the server, for the integrity check that detects spoofing or tampering.
How accurate is on-device age estimation?
Incode holds a mean absolute error of 1.08 to 1.19 years, optimized for both adult and youth age groups, with consistent results across demographics, skin tones, lighting conditions, and devices. Unlike most on-device models, accuracy is not traded away for device compatibility.
Can the check be spoofed with a deepfake?
The check runs 99% spoof detection against deepfakes, injection attacks, replay attacks, 3D masks, and virtual cameras: the same technology used by 8 of the top 10 U.S. banks, which stopped over 1 million face-related attacks in 2026. A server-side integrity check on non-PII metadata backs it up.
What does the user experience look like?
The user takes a selfie with real-time guidance, capture triggers automatically once conditions are right, and the check completes in under 5 seconds on average. 92% of users complete it on the first try, and failed checks reroute automatically to another method.
Can the user's face be hidden during capture?
Yes. The Privacy Lens blurs or pixelates the face so it's never visible, not even on the user's own screen. A stylized 3D avatar or your own branded icon can stand in for the user instead.
From the blog
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