- Category
- Video & audio
- Status
- In development
- Platforms
- iOS, Android
- Stack
- React Native, Expo, TypeScript, NativeWind, RMS loudness profiling
JumpCut profiles a recording's loudness, marks the stretches that are silence, and removes them — keeping a breath either side of each cut so the result does not sound clipped. It reports how much time it saved, and every step runs on the device.
Most of the editing on a talking-head recording is deleting the parts where nobody is talking. It is mechanical work, and it is the reason a ten-minute take costs an hour.
Detection
JumpCut builds an RMS loudness profile of the audio and marks the runs that fall below the threshold for long enough to count. A fixed decibel cut-off does not survive a change of microphone or room, so the sensitivity is exposed and the detected regions are shown before anything is removed.
Cuts that do not sound like cuts
Removing silence exactly is what makes edited audio sound wrong: consonants get clipped and the speaker sounds breathless. Each cut keeps a margin either side, which is the difference between an edit you notice and one you do not.
- Loudness-profile detection
- Silence is found from an RMS profile of the whole recording rather than a single fixed threshold.
- Padded cuts
- A configurable margin is kept either side of every cut so speech does not start or stop abruptly.
- Review before export
- The kept segments and the time saved are shown before anything is written.
- Lifetime unlock
- One purchase lifts the length limit and removes the ads, permanently.
Captures of JumpCut are pending. We would rather show you nothing than a drawing of a screen that was never photographed.