Áudio
Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
★ 109,9 mil estrelasMIT
Ver o guia →// audio · OHF-Voice/piper1-gpl
Piper
Piper é um projeto de áudio de código aberto de OHF-Voice (OHF-Voice/piper1-gpl no GitHub). Tem 5.749 estrelas no GitHub e 553 forks, é publicado sob a licença GPL-3.0 e foi atualizado pela última vez no GitHub em 28 de setembro de 2026.
Fast and local neural text-to-speech engine
★ 5,7 mil estrelas⑂ 553 forksGPL-3.0atualizado set 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto
Dados do projeto
- Repositório
- OHF-Voice/piper1-gpl
- Estrelas no GitHub
- 5.749
- Forks
- 553
- Licença
- GPL-3.0
- Última atualização no GitHub
- 28 de setembro de 2026
- Categoria
- Áudio
- Tipo de ficha
- Guia de instalação completo
- Site oficial
- Read the docs
// como funciona
Como funciona
- Pick your direction
Speech-to-text, text-to-speech, voice cloning, or music/SFX generation — each project here has a lane.
- Install the runtime
Python packages, Docker images, and C++ builds cover servers, desktops, and edge devices.
- Load a model or voice
Download the weights or pick a voice; many tools bundle a strong default so you can start immediately.
- 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
- Step 1 — Get the code
Clone the repository or download the latest release for your OS.
git clone https://github.com/OHF-Voice/piper1-gpl.git - Step 2 — Follow the install guide
Every project documents its own setup — the README's install section is the source of truth.
- Step 3 — Launch
Start the app or server as documented and open the interface it provides.
// casos de uso
O que você pode criar
- Transcribe meetings, interviews, and podcasts.
- Narrate audiobooks and video voiceovers.
- Build voice interfaces for apps and robots.
- Generate royalty-free music and effects.
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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 Piper?
It is an open-source project at OHF-Voice/piper1-gpl with 553 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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Ver o guia →// alternativas
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Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se Piper não for o ideal para você.
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Robust Speech Recognition via Large-Scale Weak Supervision
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// mais em audio
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Baixe o Piper
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.