OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Bryt teksten i SSML- tagger for nøyaktig kontroll:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Merker den valgte modellen forstår – klikk for å slippe en i teksten der den skjer:
Denne modellen leser ren tekst, så merker i teksten blir ignorert. Bytt til en ekspressiv modell som Orfeus eller Bark for å bruke tagger.
Definer selvvalgte uttaler (ord = uttale):
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.
Best for: Edge deployment, browser-based TTS, low-resource environments
Bla gjennom alle OuteTTS stemmerMed et blikk
- Utvikler
- OuteAI
- Lisens
- Apache 2.0
- Nivå
- free
- Hastighet
- slow
- Stemmekloning
- Nei
- Språk
- English
- Største antall tegn
- 1000