PoseTracker integration

Choose the best integration approach for your product.

Start using PoseTracker WebViews / iframes

The simplest way to integrate PoseTracker is through a WebView / iframe.

Your application embeds a PoseTracker URL, and PoseTracker handles:

• pose estimation

• movement tracking

• matching movement to a reference

• repetition counting

• optional developer outputs (keypoints, angles, progression, etc.)

PoseTracker then sends structured events back to your application via postMessage / WebView bridge.

The easiest way to experience PoseTracker is the mobile demo app.

Install it on iOS or Android.

Then follow along with the docs.

• iOS (App Store): https://apps.apple.com/us/app/posetracker-ai/id6759670702

• Android (Google Play): https://play.google.com/store/apps/details?id=com.posetracker.v3demo

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Two Integration Modes

PoseTracker supports two simple integration modes.

Both modes use the same tracking engine, the same outputs, and the same message format.

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1️⃣ Real-time tracking (camera / webcam)

PoseTracker analyzes movements live from the device camera.

Typical use cases:

• fitness coaching

• real-time rep counting (like counting squats)

• posture feedback

• live movement analysis

Endpoint:

GET https://app.posetracker.com/pose_tracker/tracking?token=...&exercise=...

Your app opens the URL in an iframe or WebView and PoseTracker processes the camera stream directly.

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2️⃣ Uploaded video or image analysis

PoseTracker analyzes a video or image uploaded by the user.

Typical use cases:

• analyzing workout recordings

• generating skeleton videos

• extracting keypoints

• offline rep counting

Endpoint:

GET https://app.posetracker.com/pose_tracker/upload_tracking?token=...&source=video|image&exercise=...

The user uploads a file and PoseTracker processes it directly in the browser.

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Same Outputs in Both Modes

Both integration modes return the same type of events and developer outputs, including:

• repetition counter

• form score

• progression

• keypoints

• angles

• recommendations

Your application receives these events through postMessage / WebView bridge.

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🆕 Reference Movement Comparison 🆕

PoseTracker now supports reference movement tracking.

Developers can create a reference movement in the PoseTracker dashboard using a short video containing one ideal repetition of a movement.

PoseTracker analyzes this video and generates the movement signature.

This reference can then be used to:

• detect repetitions of the same movement

• measure similarity to the reference

• score each repetition

The reference can be used with both real-time tracking and uploaded video analysis.

Example:

https://app.posetracker.com/pose_tracker/tracking?token=YOUR_TOKEN&reference=REFERENCE_UUID

or

https://app.posetracker.com/pose_tracker/upload_tracking?token=YOUR_TOKEN&reference=REFERENCE_UUID

When using a reference movement, PoseTracker compares the user's movement to the reference and returns similarity scores.

⚠️ reference cannot be combined with exercise.

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How PoseTracker Works

1️⃣ Your application opens the PoseTracker URL in a WebView or iframe 2️⃣ PoseTracker runs pose estimation locally on end-user device 3️⃣ PoseTracker detects movements and computes results 4️⃣ PoseTracker sends structured messages to your application

Your app can then:

• get pose estimation data (with a developer plan)

• update the UI

• store results

• trigger training logic

• analyze performance

Vibe coding with PoseTracker If you use Cursor, Claude, Copilot, or ChatGPT, use our GitHub repo with ready-to-use prompts, examples, and quick fixes: https://github.com/Movelytics/posetracker-llm-prompts

GitHub - Movelytics/posetracker-llm-prompts: Ready-to-use prompts, examples, and schemas to help AI coding agents integrate PoseTracker API for real-time motion tracking, pose estimation, and reference movement comparison in web and mobile apps.GitHub