🎬 JumpCut – Smart Vlog Editing

JumpCut is a Zig-powered tool that analyzes video or audio files, detects silence, and automatically generates a seamless timeline (EDL) by keeping only the spoken sections. This helps vloggers and content creators streamline their editing process by removing silent gaps, optimizing video flow.
It uses ffmpeg libraries dynamically linked, so you need to have ffmpeg installed on your system.

✨ Features

✅ Automatic silence detection in video and audio files.
✅ Exports to editing formats like EDL (DaVinci Resolve, Premiere Pro).
✅ Efficient processing powered by Zig’s speed and safety.
✅ Supports multiple input formats (Currently MP4, with PCM 16-bit 48kHz audio). ✅ Enhances the narrative flow of vlogs and spoken content.

🎯 Use Cases

Vloggers and content creators looking to speed up video editing.
Podcasters who want to remove pauses without manual editing.
Interview and conference editing, keeping only relevant speech.

🚀 Installation

Clone the repository:

git clone https://github.com/DanielTowerz/jumpcut.git

Build the project:

zig build --release=fast, safe or small

🛠️ Usage

jumpcut -i [inputfile] -o [outputfile] -d [decibel] -s [silence duration] -a [adjustment]

-i: Input file path. [REQUIRED]
-o: Output file path. If not provided, the output will be saved in the same directory as the input file as `[inputfile name].edl`.
-d: A negative number as decibel threshold for silence detection. Default is '-25'.  
-s: A positive float number as the minimum duration of silence to be detected. Default is '1.0' seconds.
-a: A positive float number as adjustment for the start and end of the detected silence. Default is '0.3' seconds.

📌 Roadmap

Export to FCPXML.

CLI interface with adjustable sensitivity settings.

Support for other video and audio formats.

README