# HaujetZhao/QuickCut

Your most handy video processing software

Repository: https://github.com/HaujetZhao/QuickCut
Canonical: https://ross.abutalabs.com/products/quickcut
Language: Python
License: MPL-2.0
License Family: copyleft
Last push: 2023-10-27T07:08:02+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2230, "days_push": 1041, "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 2949, forks 333 (observed 2026-08-28T04:07:31.918876+00:00)

## What it is
QuickCut is a lightweight, open-source video processing application built with Python and PyQt that wraps FFmpeg in a friendly GUI. It handles common tasks like compression, transcoding, merging clips, cutting by subtitles, and automatic speech-to-subtitle generation.

## Use cases
- compress a video without losing quality
- transcode video to another format
- cut a clip out of a video
- merge video segments
- automatically generate subtitles from speech
- reverse a video
- auto-edit video based on subtitles

## When to choose
- you need simple everyday video tasks without learning Premiere or DaVinci Resolve
- you want a free, watermark-free FFmpeg GUI
- you want automatic subtitle generation without paying per-minute services

## When to avoid
- you need professional multi-track video editing
- you are on macOS or Linux and don't want to install via pip with your own FFmpeg
- you need actively maintained software with recent updates

## Facets
- artifact type: application
- maturity: maintenance
- function: video-processing, speech-recognition, gui
- domain: media, developer-tools
- platform: windows, python, cross-platform
- tags: ffmpeg-gui, subtitle-generation, video-compression, pyqt, auto-editing, video

## Member repositories
- HaujetZhao/QuickCut (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:31.918876+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 2026-08-30T07:32:43.453651+00:00, confidence not recorded.
  - readme: https://github.com/HaujetZhao/QuickCut (fetched 2026-08-28T04:07:31.918876+00:00, sha b6e3dacd73fd)
- Data as of 2026-08-30T08:39:29.467469+00:00.