MML Face SDK for Flutter

On-device face recognition and passive liveness for Android and iOS

Integrate offline one-to-one face verification and passive liveness into Flutter applications while keeping biometric captures out of Mobile ML Labs servers.

Download the Android demonstration or request a seven-day trial.

Flutter face-recognition SDK capabilities

Offline, on-device one-to-one face recognition.
Passive-liveness evaluation across consecutive live camera frames.
Native Android and iOS inference behind one Flutter package.
Face detection, alignment, quality checks, template creation and matching.
Private model delivery after app-bound activation.

Demonstration and developer package

The Android demonstration shows local enrollment, successful live verification, rejection of a presentation or replay attempt, and successful verification when the live user returns.

Install mml_face_sdk from pub.dev and review the source and integration documentation on GitHub.

Lifetime commercial licence

The USD 1,000 one-time licence covers one mobile product on Android and iOS, using one Android package name and one iOS bundle ID. It includes lifetime use of the licensed SDK version, 12 months of SDK updates and standard technical support, and a two-business-day support response target.

Privacy and evaluation

The host application controls biometric capture, consent, template encryption, retention and deletion. Production deployments must validate accuracy, thresholds and presentation-attack performance for their supported devices, users and environments.