kinocut
MCP video-editing server that lets AI agents cut video safely and locally.
Auto-Editor é um projeto de recortes de código aberto de WyattBlue (WyattBlue/auto-editor no GitHub). Tem 5.557 estrelas no GitHub e 691 forks, é publicado sob a licença Unlicense e foi atualizado pela última vez no GitHub em 19 de outubro de 2026.
Auto-Editor — effort-free first-pass video editing from the command line: automatically cut silence and dead space by audio loudness and motion, Unlicense (public domain)
Follow the official installing guide at auto-editor.com/installing for your platform (downloads and package routes are listed there).
Run auto-editor on your video — it analyses loudness and writes a new, tightened file with the silent sections removed.
Adjust --margin and thresholds (e.g. --edit audio:-19dB) until the pace feels right, or export the timeline to your editor with --export premiere / resolve / final-cut-pro.
Audio-loudness analysis with --margin breathing room, plus motion analysis, so cuts tighten without sounding frantic.
Multiple --edit:N classes with --when actions (cut, keep, speed up sections) for edits beyond simple silence removal.
Premiere Pro, DaVinci Resolve, Final Cut Pro, Shotcut and Kdenlive timelines, plus clip-sequence export.
Everything in the repo is under the Unlicense — use it anywhere, in any pipeline, without licence friction.
The official installing guide covers every platform.
https://auto-editor.com/installingThe core command from the README.
auto-editor path/to/your/video.mp4Thresholds accept dB units, per the README examples.
auto-editor example.mp4 --edit audio:-19dB --margin 0.2sWyattBlue (Wyatt) and contributors — WyattBlue/auto-editor on GitHub.
Yes — everything in the repository is public domain under the Unlicense. The optional online runner and desktop app at auto-editor.com use some separate proprietary assets, per the README, but the CLI itself is public domain.
By default, sections whose audio falls below the loudness threshold — silence and dead space. You control the threshold and margin, and can add motion-based and multi-label rules.
Against jumpcutter-style scripts, Auto-Editor is the mature, maintained tool: dB thresholds, labelled rules, speed sections and exports to professional editors. Against an AI clipper, it makes no content judgements at all — it tightens the whole video deterministically, which is often exactly what you want first.
Install via auto-editor.com/installing, then run auto-editor on any recording and compare the runtime — the first pass takes seconds to judge.
MCP video-editing server that lets AI agents cut video safely and locally.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.