The Video Analyzer extracts lap times, sector splits, and handling insights from race footage. Upload frame-by-frame telemetry data (from OpenCV, Track Titan, or similar tools) to get detailed analysis of your on-track performance. The engine uses motion detection patterns, lap boundary identification, and sector consistency analysis to generate coaching recommendations.
Run a demo or analyze video data to get started
Paste frame-by-frame metadata JSON to analyze. Each frame should include motion_score, brightness, car_detected, and optionally lap_marker_detected.
Analyze video data first to see results here
Run a demo analysis with synthetic race data. Simulates an 8-lap race session with realistic motion patterns, lap time variation, and sector analysis.
Upload a video file (MP4, AVI, MOV, MKV, WEBM) up to 500 MB. The system will extract frames, compute motion metrics, and analyze lap times automatically.
Recommended: 1080p or 720p, 30 fps, H.264 codec
Max file size: 500 MB
Max duration: ~10 minutes (longer videos take more time to process)
Supported formats: MP4, AVI, MOV, MKV, WEBM
Tips: Track-side footage with a clear view of the finish line gives the best lap detection results. Onboard camera footage works for motion analysis.