OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Wrap din tekst i SSML tags for præcis kontrol:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags den valgte model forstår! klik for at droppe en i din tekst, hvor det sker:
Denne model læser almindelig tekst, så inline tags ignoreres. For tag-baserede følelser, skifte til en ekspressiv model som Orpheus eller Bark.
Definer brugerdefinerede udtaler (ord = udtale):
Om 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.
Bedst for: Edge deployment, browser-based TTS, low-resource environments
Gennemse alle OuteTTS stemmerEt blik
- Udvikler
- OuteAI
- Licens
- Apache 2.0
- Metodetrin
- free
- Hastighed
- slow
- Stemmekloning
- Nej
- Sprog
- English
- Maks. tegn
- 1000