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PoseTracker
Real-time pose estimation API for fitness and motion apps — iframe embed, ~40ms response, iOS/Android/web
0Visit PoseTracker
https://www.posetracker.com/
About PoseTracker
PoseTracker is a developer API for real-time human pose estimation, built on TensorFlow and sold to teams who want motion tracking inside a fitness, physiotherapy, sports, or dance app without building a computer-vision pipeline themselves. The positioning is explicitly developer-first, and the numbers on the homepage are integration numbers rather than accuracy claims: about ten minutes of average integration time, roughly ten lines of code per exercise, and a 40ms average response time, with over 100,000 movements analysed across 20+ projects in development in 90+ countries. It ships in two shapes. The Developer API gives full control and customisation across iOS, Android, web, and low-code platforms, with the fastest path being a single line of iframe or webview embedding, and gives direct access to the real-time pose estimation and analysis data. The Built-in Solutions track is a set of ready-made tools maintained by the PoseTracker team — a flexibility analysis tool with automated angle detection is the published example — for teams that want a finished feature rather than raw landmarks. Both are multi-platform. There is a free trial plus an iOS demo app so the tracking quality can be tested on a phone before any integration work is committed.
Key Features
PoseTracker Pros & Cons
✅ Pros
- +Iframe embedding makes it usable from low-code stacks, not just native apps
- +Ships both raw API and finished built-in tools
- +Demo app lets you judge tracking quality before writing code
⚠️ Cons
- −Pricing is not readable without JavaScript
- −Narrow scope — pose estimation only
- −Marketing figures are integration stats rather than published accuracy benchmarks
Who Is PoseTracker Best For?
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