# How does it work ?
PoseTracker exposes a simple URL that runs pose estimation and motion tracking. It now uses a **single tracking engine (V3)** for both real-time and upload flows. ### Client-side by design * ❌ no streaming * ❌ no latency * ❌ privacy problems ### What you get * Real-time pose estimation (17 keypoints). * Optional skeleton overlay. * Optional exercise tracking (posture, counter, progression, recommendations). * Optional raw outputs (keypoints, angles) on supported plans. ### Model PoseTracker is based on TensorFlow MoveNet by default. You can also enable BlazePose (plan-gated). ### Typical flow (V3) 1. Initialization. 2. Placement guidance. 3. Optional countdown. 4. Active tracking: * posture + counter * optional form score, progression, recommendations * optional keypoints / angles For upload flows: * video ends with a final counter * export finishes with `export_ready` when enabled It can run at high FPS on modern devices. ### Pose estimation

PoseTracker keypoints

### Motion analysis PoseTracker analyzes keypoints over time. This enables rep counting and movement feedback. ### Try it {% hint style="info" %} The easiest way to experience PoseTracker is the mobile demo app. Install it on iOS or Android. Then follow along with the docs. * iOS (App Store): * Android (Google Play): {% endhint %} Prefer a browser-based sandbox? See [Try it yourself](https://posetracker.gitbook.io/posetracker-api/use-posetracker-on-real-time-camera-webcam/try-it-yourself).