anysub

plujaAGPL-3.0活跃维护

Turn audio and video into subtitles with an easy-to-use web UI. Everything runs on your own machine.

暂无版本3,107star183fork同步于 2026-11-11 17:43 UTC

怎么上手

从 README 代码块原样提取,可能是其中一种安装方式
curl -fsSLO https://github.com/pluja/anysub/releases/latest/download/compose.yaml
docker compose up -d
硬件要求按 README 关键词推断
有 Docker 镜像
下载:源码 zip·GitHub Releases(安装包)本站不镜像安装包

项目说明

这个项目的说明还在生成中,先参考下面「最近发版」和 README。

最近发版

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    README 原文

    未翻译

    Anysub turns audio and video into subtitles with an easy-to-use web UI. Everything runs on your own machine.

    It is the successor to Whishper, rewritten from scratch.

    Features

    • Transcription with Whisper, from the tiny model to large-v3-turbo.
    • Word-level timings.
    • A subtitle editor with a waveform timeline, undo and autosave.
    • Warnings for subtitles that are too fast, too long, or overlap.
    • Export to SRT, WebVTT, plain text or JSON.
    • Uploads that resume, for hours-long files.
    • A searchable library.
    • Admin pages for models, defaults, upload limits, disk space and workers.

    Install

    On a Linux x86-64 host with Docker and Docker Compose:

    mkdir anysub && cd anysub
    curl -fsSLO https://github.com/pluja/anysub/releases/latest/download/compose.yaml
    docker compose up -d
    

    Open http://localhost:5173 and create your account. It asks for a setup code, which you find with docker compose logs web.

    Install covers requirements, Podman, NVIDIA GPUs, reverse proxies and building from source.

    Coming from Whishper 3

    Whishper 3 is no longer maintained, and Anysub can't read its data. Coming from Whishper 3 explains how to move over. The old code is in the v3-legacy branch.

    Not built yet

    • Translation.
    • Speaker labels.
    • Watched folders.
    • Import from a URL or an existing subtitle file.
    • More than one account.
    • Workers on other machines.
    • ARM images.

    These will come in 4.x releases. See the changelog.

    Documentation

    See docs.

    AI disclosure

    Large language models helped write the code and docs. A human reviews and tests every change before it ships.

    License

    AGPL-3.0-only.