StrokeLab is the only AI-powered tool that analyzes your swim stroke from a single photo โ no underwater cameras, wearables, or expensive equipment needed. It combines MediaPipe pose detection with LLM-powered coaching to deliver personalized, biomechanically-aware feedback that goes beyond raw data. Instead of just telling you "your elbow angle is 45ยฐ," StrokeLab explains what that means for your technique and how to fix it, like a real swim coach would.
Most swim analysis tools require underwater GoPro setups, specialized goggles (like FORM or TritonWear), or expensive coaching sessions. StrokeLab removes all those barriers โ just snap a photo with your phone and get instant AI coaching feedback. It's free to try (3 analyses per month), supports all four competitive strokes, and works entirely in your browser with no app download needed. Perfect for recreational swimmers who want quick technique feedback without investing in specialized hardware.
Recreational and fitness swimmers who want to improve their technique without hiring a personal coach. This includes adult learners, triathletes looking to optimize their swim leg, parents wanting feedback on their kids' form, and swim coaches looking for a quick second opinion. The tool is also popular among swimming enthusiasts who are curious about AI and computer vision in sports.
I'm a recreational swimmer who was frustrated by not being able to see my own stroke form in the water. Coaching sessions were expensive, and filming yourself underwater required special equipment. I started experimenting with MediaPipe's pose detection library and realized it could extract meaningful joint angles from regular pool-side photos. The breakthrough was combining that computer vision data with a large language model trained on swim coaching knowledge โ suddenly the AI could translate raw angles into actionable coaching advice. I built the first prototype in a weekend, refined it over several months, and launched it as a free tool to help other swimmers like me.
Next.js 16 (App Router), Vercel, MediaPipe (pose detection), OpenRouter (LLM API for AI coaching), Supabase (authentication and database), Tailwind CSS, TypeScript, shadcn/ui, next/image with AVIF/WebP optimization.
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