QuickPose.ai

Our demo apps are a great way to get started with your project and we have a new one for all cycling app developers who want add biomechanics features into their app. BikeVision is our newest demo app that you can download from GitHub. It features live video recording or post processing of videos and will pick up the body angles of the rider so you can give them the best feedback possible. https://lnkd.in/ea4zuz69

We’ve just launched our React Native Pose Estimation Plugin! Developers can now integrate AI-powered pose detection directly into React Native apps using QuickPose. Our new plugin makes it easy to add features like rep counting, movement analysis, and range of motion assessments with just a few steps. It’s built to help teams ship powerful computer vision features without months of ML development. Whether you’re building fitness apps, sports analysis tools, rehab platforms, or interactive experiences, QuickPose helps you get started fast. 👉 Check out the repo and try it yourself: https://lnkd.in/e5f9c7wF

Our AI PushUp Rep Counter sample app is a complete iOS demo showing how to build a production-ready fitness tracker using the QuickPose SDK. It’s not a minimal example—it’s a fully functional app you can actually ship (or at least learn a lot from). This is a complete SwiftUI application with everything you’d expect in a real fitness app. Two workout modes: target reps or timed challenges. Real-time pose detection with skeleton overlay. Automatic rep counting with form validation. A positioning guide that helps users frame themselves properly. Workout history with Core Data persistence. The kind of stuff that takes weeks to figure out on your own? It’s already there. You get a 3-second countdown before workouts start (because nobody’s ready immediately), swipe-to-delete for workout history, detailed summaries showing reps, duration, and average time per rep. These polish details matter—they’re what separate a demo from something people actually want to use. Getting Started Takes Minutes Clone the repo, drop your key into QuickPoseConfig.swift, and you’re running. No dependency managers to fight with. No configuration rabbit holes. Camera permissions are already set up in the project. Why We Built This Sample code usually falls into two camps—too simple to be useful, or so complex you can’t figure out what’s actually relevant. We aimed for the middle: realistic enough to show how pose estimation works in a real app, but clean enough that you can understand the architecture in an afternoon. If you’re building personal training apps, physical therapy tools, or anything in the fitness tech space, this shows you the patterns that work. Not theoretical examples—actual app structure you might ship. Try It Yourself Clone it. Run it. Do a few push-ups in front of your phone—even terrible form gets counted (we’ve tested this extensively with our own terrible form). Sometimes the best way to understand what’s possible with pose estimation is to see it working in real-time on your own device. You’ll immediately get ideas for what you could build, where the limitations are, what kind of UX patterns make sense. The repo’s at https://lnkd.in/e7azTcwK. Everything you need is in the README—setup instructions, architecture overview, the works. Go break something. Then fix it. That’s how you learn this stuff anyway.

🎉 1,000,000+ workouts powered! Our mobile SDK has now tracked over a million sessions. Thank you to every developer building the future of fitness and movement tracking with QuickPose.ai. Your apps are helping people count reps, measure biomechanics, and track range of motion – making movement analysis accessible to everyone. Grateful for this amazing community. Here's to the next million! 🚀 Read more here: https://lnkd.in/evTfXxgg #FitnessTech #AI #Developers #Milestone

We have released two new exercises in our iOS SDK that are now available. Now you can count reps for Overarm Reach and Knee Raises. These two exercises have been added to our fitness library that enables you to count reps for 20+ exercises. To implement them today into your apps you see how to on our docs pages for each exercise. Knee Raises – https://lnkd.in/eBdzbK67 Overarm Reach – https://lnkd.in/ek7uApaU

Building a fitness app and want to add rep counting? We've updated our FitCounter sample app on GitHub. What's inside: - Count Reps - Audio Guidance - Rep History Try it out today: https://lnkd.in/efykiave