# carykh/jumpcutter

Automatically edits vidx. Explanation here: https://www.youtube.com/watch?v=DQ8orIurGxw

Repository: https://github.com/carykh/jumpcutter
Canonical: https://ross.abutalabs.com/products/jumpcutter
Language: Python
License: MIT
License Family: permissive
Last push: 2024-02-28T16:25:32+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2702, "days_push": 917, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3149, forks 532 (observed 2026-08-28T04:07:46.098174+00:00)

## What it is
A Python CLI tool that automatically edits videos by speeding up or cutting silent sections using audio volume analysis and ffmpeg. This GitHub repo is no longer actively developed; the maintained version lives at jumpcutter.com.

## Use cases
- automatically cut silence out of lecture recordings
- speed up quiet parts of a video
- remove dead air from a talking-head video
- auto-edit a vlog to skip pauses
- compress long screencasts by trimming silence

## When to choose
- you want a simple script to remove silent segments from videos
- you're comfortable with Python and ffmpeg on the command line
- you need a free, hackable auto-editing baseline

## When to avoid
- you need an actively maintained tool with bug fixes and support
- you want a polished GUI for non-technical users
- you're processing very long videos with limited disk space, since it saves every frame as an image

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: video-processing, audio-processing, speech-recognition
- domain: media
- platform: windows, python, cli
- tags: ffmpeg, silence-removal, video-editing, auto-editor, video, automation, linux

## Member repositories
- carykh/jumpcutter (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:46.098174+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 2026-08-30T07:25:54.846185+00:00, confidence not recorded.
  - readme: https://github.com/carykh/jumpcutter (fetched 2026-08-28T04:07:46.098174+00:00, sha cffb493080a2)
- Data as of 2026-08-30T08:39:29.467469+00:00.