Malunga

I-AI platform yezwi elivulekile eligcwele kakhulu. Amamodeli angama-20+ namazwi angama-100+, wonke endaweni eyodwa.

Yakhiwa ngu

I-TTS.ai yakhiwa ngu John Nader (nadermx), TTS.ai iyingxenye yomsebenzi wokwenza i-AI engcono kakhulu yezobuchwepheshe bezwi elifinyeleleka kuwo wonke umuntu - akukho umhlinzeki we-lock-in, akukho ukukhiqizwa kwedatha, kuphela i-powerful voice technology ngentengo efanele.

Umsebenzi wethu

I-TTS.ai yakhiwa ngokholo olulula: i-AI engcono kakhulu yezobuchwepheshe bezwi kufanele ifinyeleleke kuwo wonke umuntu. Lapho amasevisi e-proprietary ekhokhisa izindleko eziphezulu ze-text-to-speech, i-open-source community ikhiqize amamodeli afana noma angaphezu kwekhwalithi yokuhweba.

Sihlanganisa amamodeli angcono kakhulu wezwi le-AI elivulekile elivulekile kwi-platform eyodwa, elula ukuyisebenzisa. Akukho ukuvala umhlinzeki. Akukho ukuvuna idatha. I-tekhnoloji yezwi enamandla kuphela ngentengo efanele.

Sinikezani

Umbhalo kuya kumazwi

20+ amamodeli kufaka phakathi iKokoro, Chatterbox, Bark, kanye nezinye. Ukusuka ekusetshenzisweni okusheshayo okuncane kuya ku-study-quality output.

Ukukhuluma kuMbhalo

I powered by Whisper, Faster-Whisper, and SenseVoice. Bhala umsindo ngezilimi ezingaphezu kuka-100 nge-timestamps ne-speaker detection

Ukulungiswa kwezwi

Klone noma yimuphi umsindo kusuka kusampula yesikhathi esingu-5. Chatterbox, GPT-SoVITS, CosyVoice 2, nezinye eziningi. Dala imisindo ekhethekile yephrojekthi yakho.

Ukucutshungulwa kwesandi

Ukuthuthukisa umsindo, ukususa ama-vocals, ukuhlukanisa ama-stems, ukususa i-echo/i-reverb, ukuthola isithonjana/i-BPM, nokuguqula amafomethi. Zonke zisebenza nge-AI.

Izingxoxo zomsindo

Izingxoxo zezwi zesikhathi sangempela nge-AI. Khetha imodeli yakho nezwi lakho ukuze ujabulele ukuxoxa okuphathelene.

Umthuthukisi

I-OpenAI-compatible REST API. I-Python SDK, isibonelo sekhodi, nedokhumende eliphelele. Yenza izici zomsindo kuzinhlelo zakho zokusebenza.

Umthombo ovulekile wokuqala

Imodeli ngayinye ku-TTS.ai i open-source, ilayisense ngezansi kwe-MIT noma i-Apache 2.0. Sikholelwa ekubonisekeni nokuthuthukiswa okuqhutshwa yi-community.

Sikhona

Kokoro
Chatterbox
CosyVoice 2
Bark
Orpheus
Piper
VITS
MeloTTS
StyleTTS2
Tortoise
GLM-TTS
Dia
Sesame CSM
Spark
Qwen3-TTS
Whisper
Demucs
Nangaphezulu...

Zonke izithako zemodeli zilayishwe kusuka ezitolo zabo ezisemthethweni. Sifaka noma yiziphi izinguquko ze-proprietary.

Isakhiwo

I-TTS.ai isebenza kumaseva we-GPU akhethekile ane-NVIDIA Tesla P40 GPUs (i-96GB VRAM ephelele). Isakhiwo sethu senziwe nge-latency ephansi ne-throughput ephezulu:

  • Ama-GPU anikezelwe ekuqondeni - akukho amathuluzi ahlukanisiwe
  • Unikezelo lwe-Dynamic GPU lusekelwe kuzidingo zemodeli ye-VRAM
  • Isimiso esiphezulu se-5-queue sokusebenza kahle okuphezulu
  • Amamodeli alayishwe kuqala ku-VRAM ukuze kuhlolwe ngokushesha
  • I-CDN-backed audio delivery for fast downloads

Ubumfihlo & Ukuphepha

  • Akukho lwazi lokuqeqeshwa: Singeke sisebenzise umsindo noma umbhalo wakho ukuqeqesha amamodeli
  • Cisha ngokuzenzakalela: Umsindo okhiqizwe ususwa ngokuzenzakalela ngemuva kwehora le-24
  • Ukukhowuda: Wonke amadata abhalwe ngokufihlisa ngesikhathi sokudlulisa (TLS 1.2+) kanye ngesikhathi sokuphumula
  • Akukho ukulandelela: Sikhona
  • GDPR ehambisanayo: Thola noma ususe idatha yakho nganoma yisiphi isikhathi

Malunga ne TTS.ai FAQ

TTS.ai yakhiwa nguJohn Nader (nadermx), umthuthukisi o independente othanda ukwenza i-AI ifinyeleleke kunoma ubani. Siphatha futhi sihlinzeka ngemodeli engcono kakhulu ye-open-source kusuka kumphakathi ngaphezu kokuqeqesha okunye okusemthethweni.

Isakhiwo sethu sisebenza kumaseva akhethekile ane-NVIDIA Tesla P40 GPUs ahlinzeka nge-96GB ye-VRAM. I-web frontend ne-GPU inference servers igcinwa ezitolo zedatha eziphephile ezine-latency ephansi.

Sinciphisa ukugcinwa kwedatha. Izingeniso zombhalo zicutshungulwa ngesikhathi sangempela futhi azigcinwanga njalo. Wonke amafayela omsindo alayishwe futhi akhiqizwe asuswa ngokuzenzakalela ngaphakathi kwehora le-24. Asisebenzisi idatha yakho ukuqeqesha amamodeli we-AI.

TTS.ai isiza iqembu elikhulayo lama-developers, abakhiqizi bezinto, namabhizinisi emhlabeni wonke. Iphrojekthi yethu iphatha amawaka emibuzo yokukhiqiza umsindo ngosuku phakathi kwamamodeli angama-20+ we-AI.

Sifuna ukufinyelela okuphezulu nge-GPU yethu ekhethekile kanye ne-5-queue system. Lapho singanikeza SLA esemthethweni kubasebenzisi be-free-tier, ama-plans akhokhelwa athola inzuzo yokucubungula okuphezulu nokunethezeka okuphezulu.

Yebo. Yonke imodeli ku-TTS.ai ivulekile, ilayisense ngezansi kwe-MIT noma i-Apache 2.0. Sixhasa ngokuqinile iqembu lezwi le-AI elivulekile futhi sinikela ngokwenza ngcono nokuxhuma kabusha kwi-ecosystem.

I-roadmap yethu ifaka phakathi ukufaka amamodeli amasha asezingeni eliphakeme njengoba ekhishwa, ukusabalalisa insizakalo ye-language, ukuphucula ikhono lokuxoxa ngezwi ngesikhathi sangempela, nokwakha amathuluzi amaningi wokucubungula umsindo. Siqhubeka nokufaka izixazululo ezintsha ze-AI zomthombo ovulekile.

TTS.ai ikhiwa futhi igcinwe ngumqambi othile, ngakho-ke asikho isikhala esivulekile. Kodwa-ke, izithonyello ezivulekile zihlala zithokozelwa — zifinyelele ngaphandle ngekhasi lokuxhumana noma nge-GitHub.

Yebo, siyavuya ukuhlanganyela nabathuthukisi, amabhizinisi, namaqembu afuna ukuxhuma umsindo we-AI kumamikhiqizo abo. Xhumana nathi ukuze uxoxe nge-API integration, ukuthengwa kwevolumu, noma ukuthunyelwa kwemodeli ekhethekile.

Siphethe ukuhlolwa kokuphepha okujwayelekile kwesakhiwo sethu. Wonke amadata abhalwe ngokufihlakele ngesikhathi sokuhamba nge-TLS 1.2+, amaphasiwedi abhalwe nge-algorithms ejwayelekile yemboni, namathuluzi we-API asebenzisa ukubhala okufanayo. Ukufinyelela kumsekeli kuvunyelwe kuphela abantu abagunyaziwe nge-SSH.

TTS.ai ihambisana ne-GDPR futhi ilandela izimiso zokuncipha kwedatha. Asigcinanga idatha yezwi yomuntu siqu ngaphezulu kwehora le-24, asisebenzisi idatha yomthengi uqeqesho, futhi sinikeza ukufinyelela kwedatha ephelele, ukubuyekezwa, kanye nelungelo lokucisha uma kudingeka.

Siqhubeka nokuhlola i-open-source voice AI landscape futhi sihlanganise amamodeli amasha njengoba etholakalayo futhi siqinisekise ukhwalithi yawo. Amamodeli amakhulu avuselelwa njalo ngenyanga, nge-optimizations encane esetshenziswa ngokuqhubekayo.