Transform Your App with Real-Time Pose Estimation

Industry-Leading Motion Tracking and Human Pose Estimation Solutions for Mobile Apps. Powered by artificial intelligence and computer vision from TensorFlow.

Built by developers, for developers.

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Gif of a men using pose estimation to count and track his squats
Average integration
10minutes
10lines / exercise
🌍
90+

Countries

🤸🏽
100K+

Movements analyzed

⏱️
40 ms

Average Response Time

📱
20+

Project in development

How to implement pose estimation in your applications ?

Available Pose Estimation Built-in Tools

Real-time flexibility measurement showing 135-degree back bend angle detection with PoseTracker's automated analysis tool
Flexibility Analysis Tool
Measure and track flexibility progress with automated angle detection.
Learn more
PoseTracker's pose comparison system showing side-by-side analysis of golf stance with 65% match score and skeletal tracking overlay
Pose Comparison System
Compare user poses against reference positions with real-time feedback.
Learn more

Simple, Transparent Pricing

Freemium

Perfect for testing and experimentation

€0 Forever free

  • Limited pose estimation data
  • Fitness repetition counter
  • Only non-commercial use
  • Up to 500 API calls monthly
Get started

Developer

For professional developers and small applications

€50 per month

  • Up to 5000 API calls monthly
  • Access pose estimation data
  • Angle calculations & tracking
  • Motion analysis & feedbacks
  • Commercial use
Get started

Enterprise

Tailored solutions for large projects

Custom pricing

  • Custom API call limits
  • All Developer Plan features
  • Custom exercise and tools development
  • Integration support
  • Dedicated success manager
Contact us

READY TO TRANSFORM YOUR PROJECTS & APPS ?

PoseTracker gives you the tools to provide real-time feedback, enhance client experience, and stand out in a crowded market. Start delivering innovative user experiences with a technology built by developers, for developers 🚀

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Frequently asked questions
Pose estimation for mobile and web apps, answered.
What is the best pose estimation model for real-time fitness on mobile in 2026?
For a single person, in real time, on mobile and across platforms, MoveNet is the common default: in the browser it holds about 34 FPS on a Pixel 5 and 51 on an iPhone 12, where BlazePose sits around 11-12. PoseTracker runs MoveNet on-device on iOS, Android and the web, and adds rep counting, joint angles and a form score on top. See the 2026 model guide →
MediaPipe vs MoveNet vs BlazePose — which should I use?
MoveNet (17 keypoints) is lighter and faster for real-time, cross-platform mobile. MediaPipe / BlazePose (33 landmarks, 3D) is richer but heavier, better when you need 3D or hand and foot detail. PoseTracker is built on MoveNet and handles the camera pipeline and the business layer (reps, angles, form score) for you.
How do I add real-time pose estimation to a React Native or Expo app?
Install the PoseTracker SDK (@pose-tracker/react-native-pose-estimation), wrap your screen in the provider, and read keypoints from the hook. Keypoints are free and run on-device; an optional API key unlocks exercises. It works in Expo Go on iOS and Android. React Native guide →
Can pose estimation run in a web app or the browser?
Yes. The PoseTracker web SDK runs MoveNet in the browser over TensorFlow.js, with free on-device keypoints, from a script tag, an ESM import or a React wrapper. Web guide →
Does it work offline, and on both Android and iOS?
Yes. The offline React Native package bundles the MoveNet model on the device, so inference needs no network; the light package fetches the model at runtime. Both target iOS, Android and the web from a single integration.
Do pose estimation models give rep counting and form feedback out of the box?
No. Every model returns only keypoints and confidence scores. Rep counting, joint angles, a form score and comparison to a reference movement are a business layer you build yourself — or get ready-made from PoseTracker via an optional API key.