# ozmartian/vidcutter

A modern yet simple multi-platform video cutter and joiner.

Repository: https://github.com/ozmartian/vidcutter
Canonical: https://ross.abutalabs.com/products/vidcutter
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: video-editor, pyqt5, qt5-gui, python3, mpv, ffmpeg, cross-platform, linux, windows, macos, appimage, arch-linux, ubuntu, opengl, cython
Last push: 2025-04-24T10:12:36+00:00

## Health v2 (maintenance only)
Score: 31/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 18, release rhythm 8, longevity 100
- inputs: {"age_days": 3654, "days_push": 496, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1977, forks 151 (observed 2026-08-28T04:06:01.485817+00:00)

## What it is
VidCutter is a cross-platform desktop application for cutting and joining video clips, built with Python, PyQt5, mpv, and FFmpeg. It offers a simple, modern GUI for lossless trimming and merging of media files.

## Use cases
- trim a video without re-encoding
- cut out a scene from a movie clip
- join multiple video files into one
- simple video editor for quick clips
- split a large video into parts
- lossless mp4 cutting on linux

## When to choose
- you need fast, lossless cutting/joining without a full video editor
- you want a lightweight GUI tool on Linux, Windows, or macOS
- you prefer simple trim/merge over complex editing timelines

## When to avoid
- you need effects, transitions, or audio editing
- you require frame-accurate precision editing
- you need a scriptable or headless video processing pipeline

## Facets
- artifact type: application
- maturity: stable
- function: video-processing, gui
- domain: media, cross-platform
- platform: windows, cross-platform
- tags: video-editor, video-cutter, video-joiner, pyqt5, ffmpeg, mpv, lossless-cutting, video, linux, macos, desktop

## Member repositories
- ozmartian/vidcutter (main) score 31

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:01.485817+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:04:48.059348+00:00, confidence not recorded.
  - readme: https://github.com/ozmartian/vidcutter (fetched 2026-08-28T04:06:01.485817+00:00, sha 80d1b171b46d)
- Data as of 2026-08-30T08:39:29.467469+00:00.