Tortoise TTS

Tortoise TTS TTS

A quality-first autoregressive model — slow, but among the most realistic open-source speech available.

Aanmelden voor 5.000 tekenlimiet

Wrap uw tekst in SSML-tags voor nauwkeurige controle:

<speak><prosody rate="slow">Slow speech</prosody></speak>

Tags het geselecteerde model begrijpt

Dit model leest platte tekst, dus inline tags worden genegeerd. Voor emotie op basis van tags, schakel naar een expressief model zoals Orpheus of Bark.

Definieer aangepaste uitspraaken (woord = uitspraak):

-12 +12
0.5x 2.0x
Gratis met Piper, VITS, MeloTTS
Uw gegenereerde audio zal hier verschijnen. Kies een model, voer tekst in en klik op Genereren.
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Gratis niveau: persoonlijk gebruik. Commerciële licentie van $5/mo
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Info Tortoise TTS

Tortoise TTS, created by James Betker, deliberately trades speed for quality. It is an autoregressive multi-voice system using a DALL-E-inspired architecture, and it produces some of the most realistic synthetic speech in the open-source ecosystem, with excellent prosody and speaker similarity. The name is a nod to its pace: it is noticeably slower than most alternatives, but the payoff is studio-grade output. It supports multiple voices and voice cloning (which benefits from a longer reference, around fifteen seconds), making it a long-standing favorite for audiobooks and premium narration where wait time is acceptable. Tortoise is English-focused and released under the permissive Apache 2.0 license.

Beste voor: Audiobooks, premium content, quality-first applications

Alles doorbladeren Tortoise TTS stemmen

In een oogopslag

Ontwikkelaar
James Betker
Licentie
Apache 2.0
Niveau
premium
Snelheid
slow
Klonen van stemmen
Ja.
Talen
English
Max. tekens
2000

Tortoise TTS stemmen

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English
Premie Neutral

Tortoise TTS Veelgestelde vragen

It is autoregressive and uses a DALL-E-inspired architecture that deliberately prioritizes quality over speed. The trade-off is some of the most realistic open-source speech available, which is why it remains popular for audiobooks despite the wait.

Yes. It supports multi-voice synthesis and voice cloning; results improve with a longer reference, around fifteen seconds of clean audio.

Quality-first applications — audiobooks and premium narration — where its slow but highly realistic output is worth the generation time. It is English-focused and Apache 2.0 licensed.
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