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
Two Integration Modes
PoseTracker supports two simple integration modes.
Both modes use the same tracking engine, the same outputs, and the same message format.
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:
Your app opens the URL in an iframe or WebView and PoseTracker processes the camera stream directly.
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:
The user uploads a file and PoseTracker processes it directly in the browser.
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.
🆕 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:
or
When using a reference movement, PoseTracker compares the user's movement to the reference and returns similarity scores.
⚠️ reference cannot be combined with exercise.
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
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