LibreAI / Audio / Whisper
// audio · openai/whisper

Whisper

Whisper es un proyecto de audio de código abierto de openai (openai/whisper en GitHub). Tiene 109.909 estrellas en GitHub y 13.321 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 31 de agosto de 2026.

Robust Speech Recognition via Large-Scale Weak Supervision

★ 109,9k estrellas⑂ 13,3k bifurcacionesMITactualizado ago 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Repositorio
openai/whisper
Estrellas en GitHub
109.909
Bifurcaciones
13.321
Licencia
MIT
Última actualización en GitHub
31 de agosto de 2026
Categoría
Audio
Tipo de ficha
Guía de instalación completa
Sitio oficial
Read the docs
// cómo funciona

Cómo 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.

// características

Por qué gusta 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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// ejecútalo

Ejecútalo tú mismo

  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

Qué puedes crear

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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// preguntas frecuentes

Preguntas frecuentes

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.

// sigue explorando

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// alternativas

Alternativas en Audio

Los demás proyectos de Audio con más estrellas del catálogo de LibreAI: la lista realista de alternativas si Whisper no es lo que buscas.

// más en audio

Más en Audio

Proyectos de Audio cercanos en el catálogo, los más próximos en estrellas a Whisper: sigue explorando a ambos lados.

Consigue Whisper

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.