Paste a Twitch or YouTube VOD. Auto-Clipper watches every frame, finds the kills, combat, and explosions, and hands you ready-to-post clips — horizontal or vertical.
Computer vision built for gaming. Works offline. Outputs clips you can drag straight into OBS, Premiere, or TikTok.
Frame-by-frame HSV color detection, motion deltas, scene changes, audio spikes, and optional YOLO object detection — all scored together per game profile.
Optional xAI Grok Vision pass understands what is happening — not just colors and motion.
One click converts any clip to vertical 9:16 with picker layouts — webcam, no-cam, or custom frame.
Downloaded VODs stay on your machine. Re-analyze with a different profile in seconds — no re-download.
Every clip gets a preview player with ±1s / ±5s trim buttons and instant re-cut. No external editor needed.
Per-game detection profiles — kill-feed colors, damage vignettes, explosion flashes, UI zones. Adding a game = adding a profile.
Your VODs never leave your computer. No uploads, no accounts, no data brokers. Just Python, FFmpeg, and your GPU.
A 30-second rolling buffer sits behind your live stream. The moment you yell "clip that" — we snip the last 30s, drop it in your library, and let you trim/extend it in the editor.
Switch per session. Combine for the most recall.
From stream URL to downloadable highlight clips in minutes — not hours of manual scrubbing.
Drop a Twitch or YouTube URL. Or upload a local file. Want just a segment? Set a start/end time — it only downloads that part.
Auto-Clipper samples frames, runs color & motion detectors, aligns audio peaks, and scores every second. A 1-hour VOD takes ~3–5 min.
Get a grid of clips with thumbnails, timestamps, and confidence bars. Preview, trim, download, or one-click convert to TikTok vertical.
Real numbers from the 0.12 release on a 10-second smoke test and a 1-hour Twitch VOD. Your mileage depends on GPU / CPU — MPS and CUDA are autodetected.
If you've ever finished a 4-hour stream and faced the scrub bar, this is for you.
End your stream. Drop the VOD link. Get a 30-clip reel before you finish your water. Say "clip that" mid-stream for instant highlights.
Short-form pipelines that used to take hours: paste, wait, trim, post. Stack multiple VODs into a batch and grab the best moments across sessions.
Pull every kill + death + close-call from a scrim. YOLO classes tag raiders, turrets, and bosses so you can filter your review to specific encounter types.
Each detection profile is hand-tuned for that game's UI, colors, and visual effects. Request a game on GitHub — or add one yourself.
Muzzle flash, damage vignette, arc glow, kill flares, XP pops, scanner beams, and more.
"Target Destroyed" messages, critical hits, bomb & rocket hits, vehicle fires, air combat.
More profiles in progress. Want priority? File a GitHub issue with a sample VOD and we'll tune it next.
Open Terminal, paste the line below, hit Enter. No warnings, no installers, no Gatekeeper dialogs.
Same pattern Homebrew uses. Files fetched via curl skip the macOS quarantine flag, so there's no "cannot verify" dialog — ever. The script clones the repo, installs Python + FFmpeg + deps, and launches the app.
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/bendawg2010/Auto-clipper/claude/twitch-clip-analyzer-MPT08/install-remote.sh)"
git clone https://github.com/bendawg2010/Auto-clipper.git; cd Auto-clipper; .\install.bat; .\run.bat
Clone, install, open in your browser. Zero sign-ups. Zero uploads. Just clips.