I-AI ekhululekile Umbhalo usuka kumazwi
31+ imodeli yomthombo ovulekile 231+ izizwi, 34+ Akuna akhawunti edingekayo.
Konke okudingayo ngezwi AI
Amathuluzi angama-30+ asebenza ngemodeli ye-AI evulekile
31+ Amamodeli omsindo we-AI
Uhlelo oluphelele kakhulu lwezimo ze-TTS ezivulekile ezikhona kwi-platform eyodwa
Kokoro Free
I-Kokoro iyimodeli ye-text-to-speech eneparameter engu-82 million eyenza kahle ngaphezu kwe-weight class yayo. Nakuba incane kakhulu, ikhiqiza amagama acacile futhi acacile. I-Kokoro isekela izilimi eziningi kufaka phakathi isiNgisi, isiJaphani, isiTshayina, nesiKoreane ngezinhlobonhlobo zamazwi acacile. Isebenza ngokushesha kakhulu — ikhiqiza umsindo osheshayo cishe ngama-100x kunosikhathi sangempela kwi-GPU.
Okungcono kakhulu: Ikhwalithi ephezulu ye-TTS enesikhathi sokuphuma esincane, izisebenziso zokusakaza
Zama mahhala
Piper Free
I-Piper iyinjini elula yokubhala-ukukhuluma ethuthukiswe yi-Rhasspy esebenzisa i-VITS ne-larynx architectures. Isebenza ngokuphelele ku-CPU, iyenza ibe ngcono kakhulu kumadivayisi e-edge, ukuphathwa kwekhaya, namathuluzi adinga i-TTS engenayo. Ngezwi elingaphezu kuka-100 lidlula ulwimi olungaphezu kuka-30, i-Piper inikeza ukukhuluma okubukekayo ngokuzenzakalela ngejubane lesikhathi sangempela ngisho ne-Raspberry Pi 4.
Okungcono kakhulu: Ukubukeka okukhawulelwe, ukufinyeleleka, kanye nezisebenziso ezifakwe ngaphakathi
Zama mahhala
VITS Free
VITS (Izibalo ezishintshayo ezifunda ngokuphikisanayo ukuqala ukubhala-ukukhuluma-ukuphela-ku-kuphela) yindlela ye-TTS elinganayo ekugcineni-ku-kuphela ekhiqiza umsindo ozwakalayo ojwayelekile kunalezo ezingemuva-ezimbili. Isebenzisa izibalo ezishintshayo ezithuthukisiwe ngokuhamba okujwayelekile kanye nenqubo yokuqeqeshwa okuphikisanayo, ethola ukukhula okuphawulekayo ekungavamile.
Okungcono kakhulu: Umbhalo-ku-ukukhuluma okusetshenziswa kakhulu nge-prosody ejwayelekile
Zama mahhala
MeloTTS Free
MeloTTS ngu MyShell.ai yi-TTS library eminingi ye-languages exhasa isiNgisi (i-American, i-British, i-Indian, i-Australian), isiShayina, isiJalimane, isiKorean. Ishesha kakhulu, isebenza umbhalo ngejubane elifanayo nesikhathi sangempela kwi-CPU kuphela. MeloTTS isetshenziselwa ukusetshenziswa kokukhiqizwa futhi ixhasa i-CPU ne-GPU inference.
Okungcono kakhulu: Izisebenziso zokukhiqiza ezidinga i-TTS esheshayo, enezilimi eziningi
Zama mahhala
OuteTTS Free
OuteTTS ithuthukisa amamodeli elimi elikhulu ngemisebenzi yokubhala-ukukhuluma ngenkathi igcina isakhiwo sayo sakuqala. Ixhasa izizinda eziningi kufaka phakathi i-lama.cpp (CPU/GPU), i-Hugging Face Transformers, ExLlamaV2, VLLM, futhi ngisho ne-browser inference nge-Transformers.js. Iqukethe ukuklonywa kwezwi lokushaya-ngokwe-zero ngeprofayili yomsindo egcinwe njenge-JSON.
Okungcono kakhulu: Ukuthuthuka kwe-edge, i-TTS esekelwe kumsakazi, izimo eziphansi ze-source
Zama mahhala
Pocket TTS Free
I-Pocket TTS ngu-Kyutai (abakhiqizi be-Moshi) iyimodeli yokubhala-ku-ukukhuluma encane engu-100M eyenza ubunzima bayo bube bukhulu kakhulu. Isebenza kahle ku-CPU, ixhasa ukuklonywa kwezwi lokushaya-isibalo kusuka kusampula elilodwa lomsindo, futhi ikhiqiza ukukhuluma okuzwakalayo. Ubukhulu bemodeli encane yenza kube ngcono kakhulu ukubekwa kwe-edge kanye nesimo sendawo ephansi.
Okungcono kakhulu: Ukuthuthuka okuncane, i-CPU-only environments, ukuklona kwezwi okusheshayo
Zama mahhala
Kitten TTS Free
Kitten TTS by KittenML is an ultra-lightweight text-to-speech model built on ONNX. With variants from 15M to 80M parameters (25-80 MB on disk), it delivers high-quality voice synthesis on CPU without requiring a GPU. Features 8 built-in voices, adjustable speech speed, and built-in text preprocessing for numbers, currencies, and units. Ideal for edge deployment and low-latency applications.
Okungcono kakhulu: Fast lightweight TTS, edge deployment, low-latency applications
Zama mahhala
Bark Standard
Imodeli yokubhala-kuya-kwesandi esekelwe ku-transformer ekhiqiza amagama acacile, umculo, kanye nemiphumela yomsindo.
Umthuthukisi: Suno · Ilayisense: MIT
Zama
Bark Small Standard
Uhlobo oluncane lwe-Bark olunezincazelo ezisheshayo nokusetshenziswa okuphansi kwememori.
Umthuthukisi: Suno · Ilayisense: MIT
Zama
CosyVoice 2 Standard
I-Alibaba's scalable streaming TTS ne-human-parity naturalness ne-near-zero latency.
Umthuthukisi: Alibaba (Tongyi Lab) · Ilayisense: Apache 2.0
Zama
Dia TTS Standard
Imodeli yokukhiqiza umsindo oningi owenza ukuxhumana okujwayelekile phakathi kwama-speakers.
Umthuthukisi: Nari Labs · Ilayisense: Apache 2.0
Zama
Parler TTS Standard
Sichaza umsindo ofuna ngesilimi esijwayelekile futhi i-Parler ikhiqiza umsindo olinganayo.
Umthuthukisi: Hugging Face · Ilayisense: Apache 2.0
Zama
GLM-TTS Standard
Ithola iphutha lophawu oluphansi phakathi kwemodeli ye-TTS yomthombo ovulekile.
Umthuthukisi: Zhipu AI · Ilayisense: GLM-4 License
Zama
IndexTTS-2 Standard
I-TTS engekho emthethweni ene-fine-grained emotional control ne-high expressionality.
Umthuthukisi: Index Team · Ilayisense: Bilibili Model License
Zama
Spark TTS Standard
Uhlu lwezwi lokuklonya i-TTS nge-emoji elawulwayo nesimo sokukhuluma nge-prompts.
Umthuthukisi: SparkAudio · Ilayisense: CC BY-NC-SA 4.0
Zama
GPT-SoVITS Standard
Uhlu lwezwi lokuklonya TTS oluncane oluphindayo noma yiluphi ulwimi kusuka kumasekondi angama-5 kuphela wesandi.
Umthuthukisi: RVC-Boss · Ilayisense: MIT
Zama
Orpheus Standard
Imodeli ye-TTS enamandla okuqonda esezingeni lomuntu eqeqeshiwe ngehora le-100K ledatha yokukhuluma.
Umthuthukisi: Canopy Labs · Ilayisense: Llama 3.2 Community
Zama
Qwen3 TTS Standard
I-Alibaba's multilingual TTS nezwi lokuklonya, izizwi ezisetshenzisiwe, kanye nobuciko bezwi kusuka kumbhalo.
Umthuthukisi: Alibaba (Qwen) · Ilayisense: Apache 2.0
Zama
Chatterbox Turbo Standard
Ibhokisi lokuxoxa elisheshayo ne-sub-200ms latency kanye namathegi e-paralinguistic alula, aphuzi, nezinye izinto.
Umthuthukisi: Resemble AI · Ilayisense: MIT
Zama
Dia 2 Standard
Ukusakazwa-kuqala kwe-TTS yokuxoxa ngezingxoxo zesikhulumi esiningi kanye ne-paralinguistic cues.
Umthuthukisi: Nari Labs · Ilayisense: Apache 2.0
Zama
VoxCPM Standard
I-Tokenizer-free TTS ekhiqiza umsindo we-44.1kHz nge-context-aware paragraph consistency.
Umthuthukisi: OpenBMB · Ilayisense: Apache 2.0
Zama
TADA Standard
I-zero-hallucination TTS nge-text-acoustic dual alignment, ihamba ngokushesha kune-5x kune-LLM TTS elinganisekayo.
Umthuthukisi: Hume AI · Ilayisense: MIT
Zama
VibeVoice Standard
Imodeli ye-Microsoft yezinhlayiyana ze-multi-speaker ezinde njenge-podcasts ne-audiobooks.
Umthuthukisi: Microsoft · Ilayisense: MIT
Zama
CosyVoice3 Standard
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
Umthuthukisi: Alibaba (FunAudioLLM) · Ilayisense: Apache 2.0
Zama
CosyVoice 2
I-Alibaba's scalable streaming TTS ne-human-parity naturalness ne-near-zero latency.
Izilimi: en, zh, ja, ko, fr, de, it, es
Umsindo
GLM-TTS
Ithola iphutha lophawu oluphansi phakathi kwemodeli ye-TTS yomthombo ovulekile.
Izilimi: en, zh
Umsindo
IndexTTS-2
I-TTS engekho emthethweni ene-fine-grained emotional control ne-high expressionality.
Izilimi: en, zh
Umsindo
Spark TTS
Uhlu lwezwi lokuklonya i-TTS nge-emoji elawulwayo nesimo sokukhuluma nge-prompts.
Izilimi: en, zh
Umsindo
GPT-SoVITS
Uhlu lwezwi lokuklonya TTS oluncane oluphindayo noma yiluphi ulwimi kusuka kumasekondi angama-5 kuphela wesandi.
Izilimi: en, zh, ja, ko
Umsindo
Chatterbox
Uhlelo olusha lokuklonya umsindo olungenalutho olune-emotion control oluvela ku-Resemble AI.
Izilimi: en
Umsindo
Tortoise TTS
Umbhalo-ku-ukukhuluma okhuluma ngezilimi eziningi obhekene nekhwalithi ngesakhiwo esibuyela emuva.
Izilimi: en
Umsindo
OpenVoice
Ukuklonya umsindo ngokuzenzakalela ngokulawula okuqinile ngesitayela, inkanuko, nesimo.
Izilimi: en, zh, ja, ko, fr, de, es, it
Umsindo
Qwen3 TTS
I-Alibaba's multilingual TTS nezwi lokuklonya, izizwi ezisetshenzisiwe, kanye nobuciko bezwi kusuka kumbhalo.
Izilimi: en, zh, ja, ko, de, fr, ru, pt, es, it
Umsindo
Chatterbox Turbo
Ibhokisi lokuxoxa elisheshayo ne-sub-200ms latency kanye namathegi e-paralinguistic alula, aphuzi, nezinye izinto.
Izilimi: en
Umsindo
VoxCPM
I-Tokenizer-free TTS ekhiqiza umsindo we-44.1kHz nge-context-aware paragraph consistency.
Izilimi: en, zh
Umsindo
OuteTTS
I-LLM-based TTS esebenza ku-CPU, GPU, noma isiphequluli nge-lama.cpp ne-Transformers.js.
Izilimi: en
Umsindo
Pocket TTS
Imodeli elula ye-100M parameter eyenziwe ngu-Kyutai ngezwi lokuklonya kusuka kusampula eyodwa.
Izilimi: en, fr
Umsindo
CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
Izilimi: en, zh, ja, ko, de, es, fr, it, ru
Umsindo
MOSS-TTS
Ultra-long 20-language TTS supporting up to 1 hour of continuous generation with phoneme-level control.
Izilimi: en, zh, de, es, fr, ja, it, hu, ko, ru, fa, ar, pl, pt, cs, da, sv, el, tr
Umsindo
MegaTTS3
ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity.
Izilimi: en, zh
UmsindoUmthuthukisi-kuqala API
I-REST API ehambisana ne-OpenAI. Ingxenye eyodwa, amamodeli angama-22+ Ukusakazwa kwengxoxo yesikhathi sangempela.
- Ifomethi ehambisana ne-OpenAI
- Ukusakazwa kwe-TTS kwezinhlelo zokusebenza zesikhathi sangempela
- Uhlelo lwe-batch lwemisebenzi enkulu
- Ulwaziso lwe-Webhook
pip install ttsai
npm install @ttsainpm/ttsai
from tts_ai import TTSClient
client = TTSClient(api_key="sk-tts-xxx")
audio = client.generate(
text="Hello from TTS.ai!",
model="kokoro",
voice="af_bella",
)
client.save(audio, "output.mp3")
Intengo elula, ecacile
Qalisa ngokukhululekileyo. Ukukala njengoba ukhula.
Ikhululekile
15,000 amaphawu
- Kokoro, Piper, VITS, MeloTTS
- Iphutha lophawu lwe-500
- 3 gen/ihora (akukho akhawunti)
Isiqalisi
500,000 characters/month
- Zonke imodeli ezingu-22+
- 100,000 amaphawu ngehlobo ngalinye
- Ukulungiswa kwezwi
I-Pro
2,000,000 characters/month
- Konke ku-Starter
- Ukungena kwe-API
- Ukulungiswa kokuqala
Ibhizinisi
10,000,000 characters/month
- Konke ku-Pro
- I-bulk API
- Ifolokhwe yesinqumo
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