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FreeCut

GitHub stars: 2.2K GitHub forks: 347 Declared license: MIT: MIT Last pushed September 29, 2026: Pushed 10d ago
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FreeCut is a browser-based video editor that combines a multi-track timeline with on-device transcription, captioning, scene analysis, voice, and music tools.

The project describes a workspace folder for projects and linked media, with preview, AI analysis and export in a modern Chromium browser. GitHub lists no packaged releases, and the private package metadata remains at 0.0.0; its weekly changelog tracks editor changes separately. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.

What it is

A timeline editor in the browser

FreeCut provides multi-track video, audio, text, image, shape, mask, Lottie, and compound-clip editing, with transitions, keyframes, effects, audio controls, subtitles, and multiple sequences inside a project.

Why it stands out

Local AI tools sit inside the edit

On-device transcription can create caption items on the timeline, while local vision models can caption media for scene search. The same editor also lists scene detection, Kokoro text-to-speech, MusicGen, and model-cache controls.

Availability

Hosted editor or source checkout

Readers can open the hosted browser editor or clone the MIT-labeled repository and run it with Node.js, npm, and a local development server. Full use depends on modern Chromium APIs rather than a native desktop release.

Why it matters

What makes it useful

The project brings transcription and scene analysis into the same edit: turn speech into caption items, find scenes, arrange the footage on a timeline and export. These outputs feed hands-on editing rather than stopping at a transcript or generated clip.

Notable points

What stands out

FreeCut uses a weekly CalVer changelog. The latest numbered entry is 2026.07.13, followed by a Current section for the week of July 20; those editor changes are separate from its private 0.0.0 package and empty GitHub release list.

Before using

What to review

Browser fit first: FreeCut relies on WebGPU, WebCodecs, OPFS, and the File System Access API. Chrome or Edge 113+ is recommended, and Brave may need its File System Access API flag enabled.

Export support is capability-dependent. The README lists MP4, WebM, MOV, and MKV containers plus H.264, H.265, VP8, VP9, and AV1 where the browser provides an encoder; embedded subtitle tracks also depend on the chosen container.

The project says editing and AI processing run locally and workspace files stay on disk. Opening the hosted app still contacts its web host, model files must be downloaded before local inference, and direct-URL imports contact the source that serves the media.

For local source use, the documented path recommends Node.js 22+, npm 11+, and a modern Chromium browser, followed by npm install and npm run dev.

The changelog records export and playback fixes, and the README makes encoding support conditional on the browser. A long edit therefore depends on the current browser capabilities as well as the project's features.

The repository is labeled MIT. Its current contribution section prioritizes bug fixes and performance work, with new features to be discussed first.

Try a short copy of your actual footage from import through export before committing a long project. Check the chosen browser's GPU and memory fit, model-download sizes and the intended export settings; available features do not guarantee a long render will finish.

For a speech edit, the changelog documents silence removal with a review step before committing the cuts. Preview those proposed cuts so pauses you want to keep are not removed.

For your intended use, check the terms of downloaded models, dependencies and source media as well as the repository's MIT label.

Reader fit

Who may find it relevant

Creators who want a local-workspace alternative for trimming footage, arranging tracks, styling captions, and exporting social or project videos.

Readers testing on-device transcription, scene search, text-to-speech, or generated music inside a normal timeline workflow.

Builders studying WebGPU, WebCodecs, browser storage, local model inference, and in-browser media export in one substantial application.

Less relevant for people who need a stable native installer, non-Chromium browser support, guaranteed codec coverage, collaborative cloud review, or established production support.

Editorial note

Why LifeHubber lists it

Delivering captions is a separate choice from styling them on the timeline. FreeCut documents burned-in captions, a separate sidecar file and embedded subtitle tracks where the container supports them. A creator can choose visible text baked into the picture or subtitles delivered separately from it.

Source links

Source materials

Reader note

Before relying on this entry

LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.

What to explore next

Compare the editing, automation, and local-data paths.

FreeCut combines direct timeline work with local AI. These next steps separate programmable video production, focused speech-to-text, and the broader local/private setup question.

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