JumpCutter

A fast, native desktop app that automatically removes silent parts from videos. Built with Tauri v2, Svelte 5, and FFmpeg.

Features

• Silence detection powered by FFmpeg's native silencedetect filter
• Multiple modes: remove silence, speed it up, keep only silence, or export both
• Real-time progress streamed from FFmpeg processing
• Drag & drop video files or use the native file picker
• Dark / light theme follows your system preference
• Tiny footprint: ~13MB app bundle (+ FFmpeg)

Getting Started

Prerequisites

• Rust (1.70+)
• Node.js (18+)
• FFmpeg installed on your system

Development

# Install frontend dependencies
npm install

# Link system FFmpeg for development
bash scripts/setup-ffmpeg.sh

# Run in development mode
npx tauri dev

Build

# Release build
npx tauri build

Output: src-tauri/target/release/bundle/ contains .app (macOS) or .exe (Windows).

Project Structure

src/                        # Svelte frontend
  lib/
    components/
      FileInput.svelte      # Drop zone + file picker
      DetectionSettings.svelte
      ProcessingSettings.svelte
      LogPanel.svelte        # Progress bar + log output
    types.ts                # TypeScript types
  App.svelte                # Main app shell
  app.css                   # Global styles + theme

src-tauri/                  # Rust backend
  src/
    main.rs                 # Entry point
    lib.rs                  # Tauri commands (orchestrator)
    ffmpeg.rs               # FFmpeg operations (silence detect, cut, speed)
    types.rs                # Shared types
  tauri.conf.json           # Tauri configuration
  capabilities/             # Permission definitions

Parameters

Acknowledgements

Based on the original jumpcutter concept by Kivanc Yuksel.

License

MIT