posetracker-api

posetracker-api

PoseTracker is a developer-focused pose estimation and motion-tracking product that provides real-time on-device MoveNet keypoints for iOS, Android, React Native and web, plus an optional API for reps, angles and form scoring.

posetracker-api is developer tools software teams evaluate for software & gaming. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 75/100
#85 in Developer Tools (85 tools)
Just launched
Data reviewed Aug 26, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Software & Gaming

What it does

Developer Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Software & Gaming

Pricing snapshot

Freemium from €0 (Forever free)

Next step

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posetracker-api

PoseTracker provides real-time motion tracking and human pose estimation solutions for mobile apps and the web, using the MoveNet TensorFlow model. It targets developers and teams who need cross-platform pose keypoints on-device (iOS, Android, React Native, web) and offers an optional API layer that adds exercise-level analytics such as rep counting, joint angles and a form score. The product includes a native SDK, a WebView/iframe integration mode, and ready-to-use built-in tools for common motion-tracking tasks.

Real-time pose estimation API for web and mobile apps, powered by AI.

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Key Features

Native SDK (React Native & web)

A developer SDK supporting React Native (Expo Go), iOS, Android and the web for running MoveNet on-device and accessing keypoints.

Free on-device MoveNet keypoints

Free on-device MoveNet keypoints (17 points) for on-device inference without a network connection.

Optional API key with exercise engine

An optional API-key unlocks higher-level analytics such as reps, angles, a form score and motion analysis/feedback.

WebView / iframe integration

Embed the camera and pose pipeline in an existing WebView or iframe with minimal code for low-code or multi-platform scenarios.

Built-in solutions

Ready-to-use motion tracking tools (e.g., flexibility analysis, pose comparison system) that deploy quickly without custom development.

Real-time pose & low latency

Real-time pose estimation and analysis with an average response time reported as 40 ms.

Pricing

Free Tier Available

Freemium plan: €0 forever free, intended for testing and experimentation with up to 200 API calls monthly and only non-commercial use.

Freemium

€0 (Forever free)
  • Limited pose estimation data
  • Fitness repetition counter
  • Only non-commercial use
  • Up to 200 API calls monthly

Developer

€50 per month
  • Up to 1000 API calls monthly
  • Access pose estimation data
  • Angle calculations & tracking
  • Motion analysis & feedbacks

Enterprise

Custom pricing
  • Custom API call limits
  • All Developer Plan features
  • Custom exercise and tools development
  • Integration support and a dedicated success manager

Use Cases

Mobile fitness apps

Provide rep counting, joint-angle tracking and form scoring for fitness and exercise applications using on-device MoveNet keypoints plus optional API analytics.

Low-code/web embedding

Embed pose estimation into existing apps or web views using the WebView/iframe API for quick, low-code integration.

Cross-platform product development

One integration that targets React Native, iOS, Android and web to deliver consistent keypoints and optional exercise analytics across platforms.

Enterprise/custom solutions

Tailored enterprise offerings with custom API limits, integration support and custom exercise/tool development.

Integrations

MoveNet (TensorFlow)

Runs MoveNet on-device for 17 keypoints; MoveNet/TensorFlow is the underlying model referenced.

TensorFlow.js (web)

Web SDK runs MoveNet in the browser over TensorFlow.js.

React Native / Expo

Native React Native SDK works in Expo Go on iOS and Android.

WebView / iframe

Classic integration option to embed the camera and pose pipeline into existing WebViews or iframes.

Benefits

Real-time, cross-platform pose estimation that runs on-device for low-latency inference.
Optional higher-level analytics (reps, angles, form) via an API to avoid building the business layer from scratch.
Multiple integration options (native SDK, web SDK, iframe) to fit developer and low-code workflows.
Production-ready built-in tools for rapid deployment without bespoke development.

Limitations

Base pose estimation models return only keypoints and confidence scores; higher-level analytics (rep counting, angles, form score) require PoseTracker's optional API or custom development.
Free tier is limited to non-commercial use and up to 200 API calls monthly.

Frequently Asked Questions

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. PoseTracker runs MoveNet on-device and adds rep counting, joint angles and a form score on top.
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 and better when you need 3D or hand and foot detail. PoseTracker is built on MoveNet and provides the camera pipeline and business layer for reps/angles/form.
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 run on-device for free; an optional API key unlocks exercises. It works in Expo Go on iOS and Android.
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 available via a script tag, an ESM import or a React wrapper.
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; a 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. Models return only keypoints and confidence scores. Rep counting, joint angles and a form score are a business layer you can build yourself or obtain from PoseTracker via an optional API key.

Getting Started

  1. 1 Try for free via the Freemium plan or explore the SDK and Web demos on the website.
  2. 2 Open the SDK docs and install the React Native package (e.g., @pose-tracker/react-native-pose-estimation).
  3. 3 Wrap your screen in the provider, read free on-device keypoints from the hook, and optionally enable an API key to unlock exercises and analytics.

Support

email

Contact support or sales via [email protected]

docs

SDK and API documentation accessible from the website (links labeled 'Open the SDK docs' and 'See the API docs' on the product site).

blog

Guides and model comparisons available on the PoseTracker blog for implementation help and model selection.

API

Available: Yes
Documentation:

API and SDK documentation referenced on the site (links labeled 'Open the SDK docs' and 'See the API docs').

Rate Limits:

Call limits are plan-based (Freemium: up to 200 API calls/month; Developer: up to 1000 API calls/month; Enterprise: custom limits).

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