PoseTracker

As a pose estimation API, PoseTracker stands apart by running on the edge, so analysis happens on the user's device rather than on a remote server.

PoseTracker is a real-time pose estimation tool that detects human poses and tracks body movement for web and mobile apps, using AI and computer vision built on TensorFlow.

Integration takes a few lines of code, which keeps setup short for small teams that do not want to train a model from scratch.

The main use case is fitness and movement analysis, where an app needs to read posture from a camera feed as it happens.

If you are building a workout or form-checking feature, PoseTracker gives you a ready-made motion tracking layer.

The service is made by developers for developers.

Expect an API to build on, not a finished consumer app, and plan on writing the product around it yourself.