Add AI-Powered Squat Tracking to Your Fitness App in 2 Hours
Production-ready iOS & Android SDK. Real-time depth feedback, accurate rep counting, and knee-tracking form analysis. No wearables required.
What You Can Build
Accurate Rep Counting
Our AI detects the full squat cycle — the descent, the bottom position, and the rise — counting only complete reps with 95%+ accuracy. No more half-rep confusion or miscounts frustrating your users mid-workout.
Real-Time Depth & Form Feedback
Track hip crease depth, knee tracking over toes, back angle, and foot stance in real time. Give users the coaching cues they'd only get from a personal trainer — automatically, every rep.
Visual Joint Highlighting
Colour-coded skeleton overlay shows which joints are in the correct position and which need correction — live, on screen. Users see exactly what to fix in the moment, making your app indispensable.
Why Developers Choose QuickPose
Improve User Engagement & Retention
Real-time form feedback keeps users engaged and coming back. When your app coaches users through every squat like a personal trainer, they don't cancel their subscription — they upgrade it.
Increase Conversion to Premium
AI form analysis is a natural premium feature — users feel its value immediately. Apps using QuickPose for squat tracking see significantly higher conversion from free to paid plans.
Reduce Injury Risk for Your Users
Poor squat form is one of the most common causes of knee and lower back injuries in self-directed training. Real-time depth and alignment cues help users exercise safely — reducing churn from injury and boosting trust in your product.
Ship in Hours, Not Months
Skip months of ML R&D. QuickPose's squat counter is a pre-built, production-ready feature. Integrate via Swift Package Manager or Gradle and follow our step-by-step docs — most developers are up and running in under 2 hours.
Technical Specifications
| Feature | Specification |
|---|---|
| Rep Counting Accuracy | 95%+ accuracy for full squat reps | Detects partial reps separately |
| Form Tracking | Hip depth · Knee tracking · Back angle · Foot stance · Squat tempo |
| Performance | 30 FPS real-time tracking | <100ms latency | Runs entirely on-device |
| Platform Support | iOS 18+ (Swift) · Android 8.0+ (Kotlin) · SwiftUI & UIKit ready |
| Integration Time | ~2 hours via Swift Package Manager or Gradle | Full docs & sample projects |
| Privacy | 100% on-device processing | No video sent to servers | GDPR compliant |
| Camera Position | Front-facing or rear camera | Side-on and front-facing squat detection |
| Device Support | iPhone 8+ · All modern Android devices | Neural Engine optimised |
Ready to Add AI Squat Tracking to Your App?
Get the SDK from GitHub and have squat counting running in your app today — or book a call with our team for a guided integration.
Questions? Email us at info@quickpose.ai
