Why You Need This
Manually finding every scene change in a long video is incredibly tedious. If you have an hour-long recording with dozens of cuts and transitions, scrubbing through the timeline to mark each one can take longer than the video itself.
Automatic scene detection analyzes the visual content of each frame and identifies moments where the image changes significantly, indicating a cut or transition. This technology is used in professional post-production workflows to log footage, create edit decision lists, and generate contact sheets.
FastCut Pro brings scene detection to the browser. The algorithm examines frame differences in real time using WebAssembly, marks every detected scene change on the timeline, and lets you split, trim, or export individual scenes with a single click. No plugins, no installations, no uploads required.
Step-by-Step Guide
- Step 1: Open fastcut.cc and import the video you want to analyze.
- Step 2: Click the Detect Scenes button in the toolbar to begin the analysis.
- Step 3: Adjust the sensitivity threshold. A lower threshold detects more subtle transitions while a higher threshold catches only hard cuts.
- Step 4: Wait for the analysis to complete. FastCut Pro will display a progress bar as it processes each frame.
- Step 5: Review the detected scene markers on the timeline. Each marker represents a detected transition. You can remove false positives or add missed cuts manually.
- Step 6: Use the scene list to navigate, preview, or batch-export individual scenes as separate files.
Why Use FastCut Pro
- No Upload Required — Scene analysis is performed locally using your CPU. No video data is sent to any server.
- Lossless Quality — When exporting detected scenes, lossless remuxing is used to preserve original quality.
- 100% Free — Scene detection is included at no cost with no limits on video length or number of scenes.
- Privacy First — Your footage remains private on your device throughout the entire analysis and export process.
Pro Tips
- For videos with lots of fast motion, increase the detection threshold to avoid false positives caused by rapid camera movement.
- Combine scene detection with batch frame export to automatically create a thumbnail for each scene in the video.
- Use the detected scenes as chapter markers when exporting to MKV format for easy navigation in media players.