Pose Match loads a TensorFlow MoveNet model that tracks 17 body keypoints in real-time. It compares your body position against the target pose skeleton and gives you a live percentage score. Hit 90%+ and you know you nailed it.
Try Pose Match Free →Choose any of the 41 poses. The target skeleton overlay appears on your camera.
TensorFlow MoveNet loads and begins tracking your body's 17 keypoints in real-time.
A live percentage shows how close you are. Adjust your body to raise the score — green means you've nailed it.
Use the score to drill poses until they feel natural. Track improvement in Glow-Up Timeline.
Know exactly when your body matches a professional pose before you capture.
Turn posing into a game — challenge yourself to hit 95%+ on every pose.
Compare scores with friends to see who can match poses most accurately.
MoveNet is Google's lightweight pose detection model that runs entirely in your browser via TensorFlow.js. No data leaves your phone.
MoveNet is optimized for mobile. Battery impact is minimal during a typical photo session.
Scoring compares 17 keypoint positions against the reference pose. It's precise enough to detect subtle angle differences.
No. All processing happens locally on your device. Zero data is uploaded.
Open your camera, enable Pose Match, and see the difference instantly. Free. No download.
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