LibreAI / Áudio / Faster Whisper
// audio · SYSTRAN/faster-whisper

Faster Whisper

Faster Whisper é um projeto de áudio de código aberto de SYSTRAN (SYSTRAN/faster-whisper no GitHub). Tem 25.683 estrelas no GitHub e 2.106 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 1 de outubro de 2026.

Faster Whisper transcription with CTranslate2

★ 25,7 mil estrelas⑂ 2,1 mil forksMITatualizado out 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto

Dados do projeto

Estrelas no GitHub
25.683
Forks
2.106
Licença
MIT
Última atualização no GitHub
1 de outubro de 2026
Categoria
Áudio
Tipo de ficha
Guia de instalação completo
Site oficial
Read the docs
// como funciona

Como funciona

  1. Pick your direction

    Speech-to-text, text-to-speech, voice cloning, or music/SFX generation — each project here has a lane.

  2. Install the runtime

    Python packages, Docker images, and C++ builds cover servers, desktops, and edge devices.

  3. Load a model or voice

    Download the weights or pick a voice; many tools bundle a strong default so you can start immediately.

  4. Process your audio

    Transcribe files, synthesize scripts, or generate music — then export standard audio formats.

// recursos

Por que as pessoas gostam tanto

State-of-the-art transcription

Open speech recognition now rivals paid APIs on accuracy across languages.

Natural neural voices

Modern TTS is strikingly human — good enough for narration and voiceovers.

Voice cloning

Clone a voice from a short sample for consistent characters and branding.

Music & SFX generation

Compose backing tracks and sound effects from text descriptions.

Runs offline

Entire pipelines work without internet — ideal for private or field use.

API-compatible servers

Drop-in endpoints that mimic commercial APIs, so existing apps switch easily.

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// execute você mesmo

Execute você mesmo

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/SYSTRAN/faster-whisper.git
    cd faster-whisper
  2. Step 2 — Create an environment

    Isolate dependencies so nothing clashes with your other projects.

    python -m venv .venv
    source .venv/bin/activate  # Windows: .venv\Scripts\activate
  3. Step 3 — Install and launch

    Install the requirements, then follow the README's launch command (it varies per project).

    pip install -r requirements.txt
// casos de uso

O que você pode criar

Readers working through the Audio shelf also stop at whisper-subs, Jellyfin add-on for local AI-driven subtitle generation using Whisper. Also on this shelf: tern — local AI search across your podcast and video archives. Nearby on the same shelf, MarkuprPlus records your screen, narrate the bug, hand AI structured notes.

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// perguntas frequentes

Perguntas frequentes

How accurate is open-source transcription?

Excellent — the leading open models match commercial services on clean audio, in many languages.

Can I clone a voice ethically?

The tech clones from short samples; only ever clone voices you own or have explicit permission to use.

Who maintains Faster Whisper?

It is an open-source project at SYSTRAN/faster-whisper with 2,106 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Do I need a GPU?

Transcription and TTS run on CPU acceptably; GPUs speed up batch jobs and music generation a lot.

Which languages are supported?

Coverage varies — transcription is broadest, TTS quality is best in major languages.

Can I use outputs commercially?

Usually yes, but check both the code license and the model license.

// continue explorando

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// alternativas

Alternativas em Áudio

Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se Faster Whisper não for o ideal para você.

// mais em audio

Mais em Áudio

Projetos de Áudio próximos no catálogo, os mais próximos em estrelas de Faster Whisper: continue explorando dos dois lados dele.

Baixe o Faster Whisper

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.