PoseTracker

PoseTracker is a real-time pose estimation API for developers building fitness, gaming, and motion-analysis experiences across web and iOS devices.

Key capabilities include:

• 17 key body point detection using TensorFlow’s MoveNet model for posture estimation and skeleton mapping
• Exercise analysis and repetition counting for movements such as squats, push-ups, and lunges, including motion feedback and movement-quality insights
• Cross-platform integration via WebView or iFrame (no SDK required), designed to work with web apps and mobile stacks such as React Native, plus support for tracking-pixel style embeds
• On-edge processing for zero latency and improved privacy, with no required data transfer, plus live camera tracking and video upload analysis

Pricing: Freemium with a Free plan (€0, up to 500 API calls/month, non-commercial), Developer (€50/month, up to 5,000 API calls/month), and Enterprise (custom pricing).

Notable for combining a developer-friendly API with ready-to-use built-in tools (for example flexibility analysis and pose comparison) and providing reference implementations, including a Google Play demo app and example code on GitHub.