FencingLab

FencingLab — AI Fencing Coach Transform your fencing with AI-powered video analysis. Record or upload your bouts, and FencingLab breaks down your technique, tracks your progress over time, and delivers personalized training recommendations. What FencingLab does: • Analyzes fencing videos using advanced AI to identify actions, timing, and technique • Tracks improvement across sessions with progress charts and skill scores • Provides tactical matchup analysis against specific opponents • Supports Foil, Épée, and Sabre • Works for athletes and coaches managing multiple fencer profiles AI Analysis Options: • Gemini AI — cloud-based analysis for detailed, high-quality feedback • Local AI — on-server processing with no third-party data sharing Subscription: FencingLab offers auto-renewable subscriptions that unlock Gemini AI analysis. A 7-day free trial with 5 complimentary credits is included at sign-up. Subscriptions are billed through your Apple ID. You can manage or cancel your subscription at any time in App Store Settings. Privacy: When Gemini AI is selected, your video is sent to Google's servers for analysis. Local AI keeps all processing on our servers with no third-party sharing. Your privacy choices are always in your control in the app settings. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Fixes for things that were actively breaking video import/playback: - Session expiry no longer breaks video import. The app now refreshes your login token every time it comes to the foreground, not just on a fresh launch — previously a session left backgrounded past the 7-day token lifetime would silently fail every action (including "Import Video") until you manually logged out and back in. - Uploads survive network blips instead of restarting. A failed chunk (timeout, dropped connection, server hiccup) now resumes from the last successfully-uploaded chunk when you tap Retry, instead of re-sending the whole video from scratch. Bad requests (not just transient errors) still fail cleanly rather than retrying forever. - Fixed the "kicked back to Training Videos" bug. Watching a video (or viewing its details) no longer gets silently interrupted and dumped back to the video list whenever an analysis finishes in the background — traced to a SwiftUI view-identity bug in the tab badge, now fixed. - Video captions no longer cut off mid-sentence. The on-screen caption during playback showed at most 2 lines and truncated with "…"; now it grows to fit the full description. - Coaching moments now show a screenshot of the video frame at that moment (backend already generated these; the UI just wasn't displaying them). - New: scoreboard & touch-indicator detection. The model now explicitly reports whether it can see a physical scoreboard or the touch-indicator light apparatus in the shot (these are real objects in frame, not video overlays, and can drift in/out as the camera moves) — and states plainly when it doesn't see one, instead of silently leaving score fields empty. - New: automatic retry on a bad sample. Same video, same prompt can occasionally produce a degenerate, repetitive response purely from model sampling variance — this is now detected and retried once automatically before being accepted.