Àkọlé àwòrán

Àwọn àwòrán àkọlé ìṣàmúlò-ètò

Gbogbo àwọn móòdù TTS lórí àwọn pánẹ́ẹ̀lì wà ní ìṣàmúlò-ètò àìṣirò, àti àwọn púpọ̀ ló ń ló MIT tàbí Apache 2.0. Móòdù àti àwọn ìrànwọ́ mìíràn ní a tí fi líǹsín pamọ́ fún ìlò àìṣé àìṣé nínú àwọn

Àwọn Ìṣàmúlò-ètò Mìíràn Àwọn Apache Àwọn Ààyè-iṣẹ́ GitHub

Àtòjọ-ètò TTS Fẹ́ẹ̀lì Àwọn Àkọsílẹ̀ API

Wá Rẹ́

0/500

Free pẹlu Kokoro, Piper, VITS, MeloTTS

Àwọn àwòrán tí o ti ṣẹ̀dà tí o bá han níbẹ̀

Ṣí àwọn àyọkà ìṣàmúlò-ètò TTS kíki

Àwọn Ìfànẹ́ Ìṣàmúlò-ètò TTS

Kini idi ti àwọn

Gbogbo àwọn ààyè-iṣẹ́ àìfilọ́lẹ̀

Every model on TTS.ai is open source, and each model page lists its license. No proprietary black boxes and no vendor lock-in.

Àwọn Àmì-ìwé Ojú-ìwé

Most models are licensed under MIT or Apache 2.0. A few use other licenses, and models or voices licensed for non-commercial use are marked "Personal and non-commercial use only".

Àwọn Ààyè-iṣẹ́

Ṣàfihàn àwọn módè́lì àti ìṣàmúlò-ètò fún ọ̀rọ̀rọ̀ rẹ̀. Ìdáràn fún àwọn ààyè-iṣẹ́ rẹ̀, àwọn ìṣàfihàn, àti àwọn àgbègbè. Kò ní ìgbà tí a fẹ́.

GPU tí a fi pamọ́

Àwọn móòdù ní pàtó fún NVIDIA GPÙ̀ àti ìrànwọ́ CUDA. Piper̀ láàmúlò nípa CPÙ lọ́wọ́lọ́wọ́. Móòdù àwọn púpọ̀ ní niló 2-8GB VRAM fún ìṣàfarawé.

Àwọn

Àwọn ìjọbálú àwọn àwọn ààyè-iṣẹ́ tí a ṣí nípa ìṣàmúlò-ètò náà tí ǹpa àwọn ààyè-iṣẹ́ yìí. Àwọn ìrànwọ́ ní a gbà - fi àwọn àbùdá, àwọn ìrànwọ́, àti àwọn ìrànwọ́ tuntun pamọ́ sí GitHub.

Àwọn

A paid plan from $5/mo carries the commercial license for what you generate, with no royalties or usage fees; the free tier is for personal use. Models and voices marked "Personal and non-commercial use only" are excluded.

Àwọn

Àwọn ìṣàmúlò-ètò, àwọn ìṣẹ́dá rẹ̀, àti ohun tí o ṣè

Kokoro

Free

Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.

Àwọn àgbègbè 5/5

Ó dara jù fún: Apache 2.0 — ìṣàmúlò-ètò ọ̀fẹ̀ tí o dara jú, 82M àwọn ìṣàmúlò-ètò, rọ́ọ̀nù fún alábòójútó

Àwọn ààyè-iṣẹ́ Kokoro

Piper

Free

A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.

Àwọn àgbègbè 3/5

Ó dara jù fún: MIT — CPU-kan, to dara fún àwọn àpá-irinṣẹ́ ìsàlẹ̀-ilà àti àwọn ààyè-iṣẹ́ ìṣàfarawe-ẹni-ní

Àwọn ààyè-iṣẹ́ Piper

VITS

Free

Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.

Àwọn àgbègbè 3/5

Ó dara jù fún: MIT — ààyè ìdájọ́ tí a lò láti mú àwọn móòdù ìsàlẹ̀-ilà láti sà

Àwọn ààyè-iṣẹ́ VITS

Bark

Standard

Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.

Àkóónú 4/5

Ó dara jù fún: MIT — àwọn ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ àwòrán tí a kò lè gbọ́ nínú TTS ìṣàfarawé

Àwọn ààyè-iṣẹ́ Bark

Tortoise TTS

Premium

Multi-voice text-to-speech focused on quality with autoregressive architecture.

Àkóónú 5/5 Àwọn Àmì-ìwé

Ó dara jù fún: Apache 2.0 — ìṣàmúlò-ètò ìṣàfihàn ìṣàfihàn tí a kọ̀ nípa ìṣàfihàn

Àwọn ààyè-iṣẹ́ Tortoise TTS

OpenVoice

Premium

Instant voice cloning with granular control over style, emotion, and accent.

Àwọn ìṣàmúlò-ètò 4/5 Àwọn Àmì-ìwé

Ó dara jù fún: MIT — ìṣàfarawé àwọn ìròyìn àwọn ìsàlẹ̀-ilà àti ìpéwọ̀n ìṣàfarawé àwọn ìṣàmúlò-ilà

Àwọn ààyè-iṣẹ́ OpenVoice

Bii o ṣe le lo TTS orisun-aṣiṣii

Ló àwọn API ààyè-iṣẹ́ wà tàbí láti ló àwọn àwọn ìṣàmúlò-ètò rẹ̀

Wá Àwọn

Wá àwọn kátalọ́gì wà tí 20+ àwọn móòdù TTS àìṣiró ṣíṣí. Àwọn ojú-ìwé móòdù ní gbogbo wọn ń fi àwọn ìwé-ẹ̀yàn, àwọn à

Wá nínú Awáròyìn Rẹ̀

Ṣayẹwo àwọn módè́ẹ̀lì fún TTS.ai nípa ìṣàfihàn ohunkohun. Àwọn sáà GPU wa nípa ìṣàfarawé ìṣàfarawé láti jẹ́ pé o lè ṣàyẹwo ìgúnrégé nípa ìṣàfihàn ara-ẹni.

Àwọn Ìṣàfilọ́lẹ̀ Àwọn Àwọn Ìṣàfilọ́lẹ̀

Klọ́nọ́ àwọn àwọn ààyè-ìṣàmúlò-ètò ìṣàmúlò-ètò láti inú GitHub àti ìṣàmúlò-ètò ní pàtó, tàbí ló àwọn API wà tí a fi pamọ́ fún ìṣàmúlò-ètò. Àwọn API wà fi àwọn ààyè-ìṣàmúlò-ètò tí a fi pamọ́ fún ìṣàmúlò-ètò.

Ṣẹ̀dá Àtòjọ-ètò Rẹ̀

Fi TTS pamọ́ sínú àwọn nǹkan rẹ̀ láti lo àwọn àwòrán tí a fi pamọ́ fún ara wa tàbí àwọn API REST wa. Ṣàyẹwo àwọn àwòrán fún àwọn àwòrán fún ara wa ní akọkọ: àwọn àwòrán àti àwòrán mìíràn ní fun ìlòòrò

Àwọn ìṣàfarawé ìṣẹ̀dà

Lisensi tí àwọn ìṣàmúlò-ètò ní pàtó nípa TTS.ai

Àwọn ìṣàmúlò-ètò	Àwọn Ààyè-iṣẹ́	Lórúkọ́	Àwọn Àkọ́gbègbè
Kokoro	Apache 2.0		Tí a fẹ́
Piper	MIT engine; awọn lísìǹtì ìraǹdárà yatọ	Àwọn ìrísí-lẹ́tà kékeré	Àwọn ìkúndùǹ
VITS	MIT		Àwọn ìkúndùǹ
MeloTTS	MIT		Àwọn ìkúndùǹ
Chatterbox	MIT		Àwọn ìkúndùǹ
Tortoise TTS	Apache 2.0		Tí a fẹ́
StyleTTS 2	MIT		Àwọn ìkúndùǹ
OpenVoice	MIT		Àwọn ìkúndùǹ
Sesame CSM	Apache 2.0		Tí a fẹ́
Orpheus	Llama 3.2		"Built with Llama"
Spark TTS	CC BY-NC-SA 4.0	Ìlò àìṣè àti àìṣé àìṣé	Tí a fẹ́
OuteTTS	CC BY-NC-SA 4.0	Ìlò àìṣè àti àìṣé àìṣé	Tí a fẹ́

Wá Àwọn

Àwọn Ìṣàfilọ́lẹ̀ Rẹ́

Rọ́ọ̀nù àwọn àwòrán fún ara rẹ̀ tàbí fi wà lórí àwọn ààyè-iṣẹ́

Ààyè-iṣẹ́ Fún Rẹ̀ Rẹ̀

Àwọn móòdù gbogbo nípa TTS.ai ní àwọn tí a lè lò nípa ìṣàfilọ́lẹ̀ àwọn ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀ nípa GitHub tàbí Hugging Face. Ṣàfihàn àwọn ìṣàfilọ́lẹ̀, àwọn ìpàrárà, àtí ìṣàfilọ́lẹ̀ àwọn ìṣàfilọ́lẹ̀ nípa GPUs rẹ̀. Ò ní ìdáràn nípa ìṣàfilọ́lẹ̀, ìdáràn, àtí ìṣàfilọ́lẹ̀.

Àwọn ààyè-iṣẹ́ ìdáràn - àwòrán kò fi àwọn sáà rẹ̀ kù
Kò ní àwọn owó nípa àgbékalẹ̀ ìṣàmúlò-ètò
Àwọn ìṣàmúlò-ètò ìṣàfarawé fún àwọn ààyè-iṣẹ́ rẹ̀
Ní ìṣàmúlò-ètò GPU (NVIDIA tí a fọwọ́sì)
O lè ṣakoso àwọn ìṣàmúlò-ètò, ìṣàmúlò-ètò, àti àwọn ìpéwọ̀n

Lo TTS.ai Hosted API

Gbaawọn ìwọlé nígbà kan sí gbogbo àwọn ààyè-iṣẹ́ 20+ nípa API REST kan. A tí n ṣakosó ìṣàfilọ́lẹ̀ GPU, àwọn ìṣàfilọ́lẹ̀ àwọn ààyè-iṣẹ́, àwọn ìṣàfilọ́lẹ̀ àwọn. Bọ́tìnì API kan náà ǹfí ọ̀kan lọ́wọ́.

Kò ní àwọn ìrísí-lẹ́tà GPU tí a fẹ́
Gbogbo 20+ awọn awoṣe nipasẹ API kan
Àwọn ìṣàmúlò-ètò àti àwọn ìdárànṣe àwọn ìṣàmúlò-ètò
99.9% uptime pẹlu infrastructura redundant
Fi owò lọ́wọ́lọ́wọ́ fun ohun tí o lò

Ló Àwọn API Ààyè-iṣẹ́

Ìṣàfilọ́lẹ̀ Àìpẹ̀: API tàbí Òjútó Rẹ́

Ló àwọn API ààyè-iṣẹ́ wà, tàbí fi Kokoro hàn nínú àwọn àkókò

Àwọn Ìjánu-ìsún 1: TTS.ai Hosted API Ójútó

import requests

response = requests.post("https://api.tts.ai/v1/tts", json={
    "text": "Open source TTS with a simple API.",
    "model": "kokoro",
    "voice": "af_heart",
    "format": "wav"
}, headers={"Authorization": "Bearer YOUR_API_KEY"})

with open("output.wav", "wb") as f:
    f.write(response.content)

Àwọn Àtòjọ-ẹ̀yàn 2: Ìdáràn

# Install Kokoro locally
pip install kokoro

# Generate speech on your own GPU
import kokoro

pipeline = kokoro.KPipeline(lang_code="a")
generator = pipeline("Hello from your own server!", voice="af_heart")
for i, (gs, ps, audio) in enumerate(generator):
    kokoro.save(audio, f"output_{i}.wav")

Wó Àkọsílẹ̀ API

Open Source, Agbara-iṣe

API wa ti a fi pamọ́ jẹ́ ki TTS-ọ̀fẹ̀-ọ̀fẹ̀ gbàwọlé látì kò ní ìṣakoso GPUs.

Àwọn Ìjánu-ìsún

15,000 àwọn àmì-àṣírí nínú ìṣàfilọ́lẹ̀

4 open-source módèlè̀ ọ̀fẹ̀
Kò ní ìṣàmúlò-ètò fún ìlòòrò
Ìlò àìṣè

Àwọn Ìṣàmúlò-ètò

500,000 àwọn àmì-ìwé/oṣu

Gbogbo àwọn módè́lì 20+ tí a ṣí
Ìṣàfarawé àwọn àmì-ìwé
Àwọn Ìṣàmúlò-ètò

Àwọn

$29

2,000,000 àwọn àmì-ìwé/oṣu

Àwọn ìṣàmúlò-ètò GPU ìṣàfarawé
Àwọn ìṣàmúlò-ètò ìpele-òkè
Àwọn ìṣàfilọ́lẹ̀ àwọn ìṣẹ̀dá

Wó Àwọn Ìtàn

Àwọn Àtòjọ-ẹ̀yàn

Àwọn ibeere àwọn ìṣàmúlò-ètò àwọn àkọlé àwọn ìṣàmúlò-ètò àìṣiró

Yes, every model on TTS.ai is open source, and most use MIT or Apache 2.0. A few use other licenses, including some licensed for non-commercial use only, which are marked "Personal and non-commercial use only" in the voice picker. Each model page lists its license.

Àwọn àwọn ìṣẹ̀dá àìfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀-ìṣa

Òyà. Módélù fún gbogbó àwọn lè jẹ́ ààyè fún ara wọn. Klọ́ọ̀nì àwọn ààyè fún ara wọn láti inú GitHub, fi àwọn ìpèwọ̀n hàn, gba àwọn ìṣàmúlò-ètò àwọn módélù láti inú, àti láti rọ́ọ̀nù ìṣàmúlò-ètò. À tì fi àwọn àkọsílẹ̀ fún àwọn ìṣàmúlò-ètò fún ara wọn fún módélù fún ara wọn pamọ́, àti GPU, RAM, àti ìṣàfihàn Python.

Àwọn ìṣàmúlò-ètò yatọ láti inú àwọn ìṣàmúlò-ètò. Piper kò niló GPU (CPU nikan). Kokoro àti MeloTTS niló 1-2GB VRAM. Àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò ìṣàmúlò-ètò ìṣàmúlò-ètò 4GB VRAM. Tortoise àti Sesame CSM niló 8GB. A NVIDIA RTX 3060 (12GB) lè rọ́ọ̀nù àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò kíì.

Ya. Ààyè ìṣàmúlò-ètò tí a ṣí gbá ìṣàmúlò-ètò láti inú àwọn ìṣàmúlò-ètò ìṣàfarawé. Àwọn ìṣàmúlò-ètò bíi GPT-SoVITS àti Bark ń fi àwọn ìsàmúlò-ètò ìṣàmúlò-ètò ìṣàmúlò-ètò pamọ́. O lè kọ́ àwọn ìṣàmúlò-ètò ní pàtó àwọn ààtò ìsàlẹ̀-ètò rẹ̀ láti ṣẹ̀dá àwọn ìsàlẹ̀-ètò ìṣàfihàn tàbí lágbára ìṣàfihàn fún àwọn ètò kan.

Àwọn àwọn

Àwọn mìíràn tí a ti yọ̀: XTTS/XTTS-v2 (Coqui's CPML, kò ní ìṣowó), F5-TTS (CC-BY-NC, kò ní ìṣowó) àti Higgs-v2 (Boson License, tí a tí gbọ́dọ̀). Àwọn módè́lì àti àwòrán mìíràn tí a tì fi kù, bí Spark TTS, OuteTTS àti àwọn àwòrán Piper mìíràn, tí a tí fi líǹsìn fún ìlò kò ní ìṣowó; a tí sọ̀rọ̀ wọn ní "Ìlò Àwọn Òǹlò Àwọn Òǹlò" nínú àwọn à

Ya. Àwọn àwọn ìṣàmúlò-ètò ìdáràn nípa GitHub. O lè fi àwọn àkọlé àbùdá, àwọn àkọlé àwọn ìṣàmúlò-ètò tuntun, àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò, àti àwọn àkọlé. Wòye àwọn ààyè-ètò GitHub àwọn ìṣàmúlò-ètò fún àwọn ìṣàmúlò-ètò àti àwọn àwọn ààyè-ètò tí a tí n ṣiṣẹ́.

Fi àwọn àwọn àwòrán paṣẹ àti paṣẹ nígbà tí a kò bá ṣè nípa ìrànwọ́ GPU. Àwọn àwọn ààtò GPU wà n ṣiṣẹ́ àwọn àwòrán 20+ nípa 4x Tesla P40 (96GB VRAM tó kùnà) nípa ìṣàfilọ́lẹ̀ dínámì. Fun àwọn àwọn ayẹyẹ-ara, GPU 24GB kan lè fi àwọn àwòrán 3-5 hàn nípa ìdára.

Àwọn móòdù fún àwọn àwòrán Docker àti àwọn fáìlì Docker. Fún ìṣàmúlò-ètò àwọn móòdù àwọn, o lè kọ́ àwọn ìṣàfihàn Docker ààyè-iṣẹ́ láti lò láti gba ìṣàfihàn GPU. Àwọn ààyè-iṣẹ́ àwọn sáà API wa lè lò láti fi àwọn ìṣàfihàn àwọn ìṣàfihàn pamọ́.

Àwọn àwọn

Tí o bá jẹ́ agbẹ̀rọ́, ò ní: àwọn lísìnsì MIT ati Apache 2.0 gbá lórí ìlòjógbogbo, àwọn módílì tí o jú jú níbẹ̀ lò, láti jẹ́ pé o lè kọ́ àwọn nǹkan SaaS, àwọn ìṣàmúlò-ètò móbílì, àwọn ere àti àwọn iṣẹ́ láti àwọn owó lìsensí tabi àwọn ẹ̀yàn. Wòlè lísìnsì nípa ojú-ìwé módílì kaǹkan nípa àwọn módílì kaǹkan nípa àwọn ohun tí kò jẹ́ ílòjógbogbo. Àwòrán tí a ṣẹ̀dà nípa TTS.ai nípa rẹ̀ nínú àwọn

5.0/5 (1)

Wá Open Source TTS ní ọjọ́ yìí

20+ open-source models, gbogbo wọn pẹlu iwe-aṣẹ wọn ti a ti ṣalaye. Lo API wa tabi olori-ararẹ, aṣayan jẹ rẹ.

Ṣàfihàn Wó Àwọn Ìtàn

Àwọn àwòrán àkọlé ìṣàmúlò-ètò

Wá Rẹ́

O fẹ́ TTS.ai? Fì sọ̀kalẹ̀ fún àwọn ọrẹ̀ rẹ̀!

Àwọn Ìfànẹ́ Ìṣàmúlò-ètò TTS

Gbogbo àwọn ààyè-iṣẹ́ àìfilọ́lẹ̀

Àwọn Àmì-ìwé Ojú-ìwé

Àwọn Ààyè-iṣẹ́

GPU tí a fi pamọ́

Àwọn

Àwọn

Àwọn

Kokoro

Piper

VITS

Bark

Tortoise TTS

OpenVoice

Bii o ṣe le lo TTS orisun-aṣiṣii

Wá Àwọn

Wá nínú Awáròyìn Rẹ̀

Àwọn Ìṣàfilọ́lẹ̀ Àwọn Àwọn Ìṣàfilọ́lẹ̀

Ṣẹ̀dá Àtòjọ-ètò Rẹ̀

Àwọn ìṣàfarawé ìṣẹ̀dà

Àwọn Ìṣàfilọ́lẹ̀ Rẹ́

Ààyè-iṣẹ́ Fún Rẹ̀ Rẹ̀

Lo TTS.ai Hosted API

Ìṣàfilọ́lẹ̀ Àìpẹ̀: API tàbí Òjútó Rẹ́

Open Source, Agbara-iṣe

Àwọn Ìjánu-ìsún

Àwọn Ìṣàmúlò-ètò

Àwọn

Àwọn Àtòjọ-ẹ̀yàn

Gbogbo awọn awoṣe TTS.ai ni o wa ni orisun ti o ṣii?

Kini iyatọ laarin MIT ati Apache 2.0 licenties?

Ń lè fi àwọn àwọn ìṣàmúlò-ètò yìí pamọ́ sí àwọn sáà mìíràn mìíràn?

GPU wo ni mò nilò láti wẹ́ẹ̀bù àwọn àwọn ìṣàmúlò-ètò TTS?

Ń lè fi àwọn àwọn àwòrán TTS àìfilọ́lẹ̀ pamọ́?

Bawo ni awọn awoṣe TTS orisun-ṣinṣin ṣe yatọ si awọn iṣẹ iṣowo?

Àwọn ìṣàmúlò-ètò wò nínú àwọn láìsì tí mò yẹ́ kí mò dẹ́nú?

Ń lè fi pọ̀ jú àwọn

Bawo ni mo ṣe lè rọ́ọ̀nù àwọn àwọn ìṣàmúlò-ètò àwọn ìṣàmúlò-ètò lọ́wọ́lọ́wọ́ nípa àwọn sáà GPU kan?

Àwòrán Docker fún ìṣàfihàn-ara-ẹni-ní?

Àwọn ìṣàfarawé Python wo ni mò fẹ́ fún ìṣàfihàn ara mì?

Ń lè kọ́ àwọn nǹkan tí a lò nípa àwọn

Wá Open Source TTS ní ọjọ́ yìí