What is PoseTracker API?
PoseTracker delivers real‑time human pose estimation powered by the MoveNet TensorFlow model.
The platform exposes a developer‑oriented API that supports iOS, Android, web, and low‑code environments, allowing integration with only a few lines of code.
PoseTracker can analyze over 100,000 movement types and return pose data with an average latency of 40 ms, making it suitable for responsive fitness and sports applications.
Built‑in tools provide automated joint‑angle detection for flexibility tracking and a pose‑comparison system that offers instant feedback against reference poses.
PoseTracker API pricing Subscription
Freemium
€0
Developer
/mo
Enterprise
custom
Verify on the official pricing page.
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PoseTracker API's key features
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Real-time pose estimation
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Multi-platform iOS Android Web
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One-line iframe integration
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Custom motion-tracking API
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Pose comparison feedback
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Automated angle detection
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40 ms response time
PoseTracker API use cases
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Create an interactive dance tutorial platform that uses PoseTracker’s 40 ms real‑time pose estimation to compare user movements with professional choreography, offering instant feedback on joint angles and motion accuracy.
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Build a low‑code ergonomic assessment tool for remote workplaces that integrates PoseTracker via iframe, automatically detecting posture deviations in real time and providing corrective suggestions to reduce repetitive‑strain injuries.
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Develop a multiplayer sports training app where athletes upload videos; PoseTracker’s high‑volume movement recognition identifies over 100,000 play patterns, enabling coaches to compare poses and analyze performance metrics instantly.
Who is it for?
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Motion tracking developers
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Interactive design developers
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Fitness application developers
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Sports data analysts
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Rehabilitation analysts