PoseTracker is a developer-focused API and built-in solution for real-time human pose estimation and motion tracking in mobile apps. Powered by TensorFlow's MoveNet model, it enables applications to analyze body movements, track angles, count repetitions, and compare poses against reference positions. The platform offers both a flexible developer API for custom integrations and ready-to-use built-in tools for quick deployment without coding. It supports multi-platform development (iOS, Android, Web, low-code platforms) and provides real-time pose data with an average response time of 40 ms. PoseTracker is designed for developers and businesses looking to add motion tracking features to fitness, sports, rehabilitation, or movement analysis apps.