LibreAI / Áudio / Whisper
// audio · openai/whisper

Whisper

Whisper é um projeto de áudio de código aberto de openai (openai/whisper no GitHub). Tem 109.909 estrelas no GitHub e 13.321 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 31 de agosto de 2026.

Robust Speech Recognition via Large-Scale Weak Supervision

★ 109,9 mil estrelas⑂ 13,3 mil forksMITatualizado ago 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

Repositório
openai/whisper
Estrelas no GitHub
109.909
Forks
13.321
Licença
MIT
Última atualização no GitHub
31 de agosto 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/openai/whisper.git
    cd 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

Transcription is also the front end of Nightingale, a machine-learning karaoke project that scores home singing for free — it needs to hear you before it can judge you. The Audio shelf also holds amical — open-source AI dictation that types 3x faster, fully offline. Also on this shelf: ComfyUI-Qwen3-TTS — Qwen3-TTS custom nodes for ComfyUI: clone, design, and fine-tune voices.

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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 Whisper?

It is an open-source project at openai/whisper with 13,321 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 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 Whisper: continue explorando dos dois lados dele.

Baixe o Whisper

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