OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Envuelva su texto en etiquetas SSML para un control preciso:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Etiquetas el modelo seleccionado entiende — haga clic para soltar uno en su texto donde sucede:
Este modelo lee texto plano, por lo que las etiquetas en línea son ignoradas. Para la emoción basada en etiquetas, cambie a un modelo expresivo como Orfeo o Bark.
Definir pronunciaciones personalizadas (palabra = pronunciación):
Acerca de OuteTTS
OuteTTS by OuteAI takes a language-model approach to speech: it extends an LLM with text-to-speech capability while keeping the original architecture intact, so it can run through standard LLM tooling. That gives it unusually broad backend support — llama.cpp on CPU or GPU, Hugging Face Transformers, ExLlamaV2, VLLM, and even in-browser inference via Transformers.js. It is a natural fit for edge deployment and low-resource environments where running a model client-side or on CPU matters more than raw speed. On TTS.ai it is offered on the free tier for English. Because the LLM-based pipeline is slow on long inputs, it is best used for shorter regular text rather than long-form cloning.
Lo mejor para: Edge deployment, browser-based TTS, low-resource environments
Examinar todo OuteTTS vocesDe un vistazo
- Desarrollador
- OuteAI
- Licencia
- Apache 2.0
- Nivel
- free
- Velocidad
- slow
- Clonación de voz
- No
- Idiomas
- English
- Máx. caracteres
- 1000