Umbhalo we-AI usuka kumazwi
Guqula umbhalo ube ulwimi oluzwakalayo ngemodeli ye-AI evulekile. Ungasebenzisa mahhala, akukho akhawunti edingekayo.
Ukufaka umbhalo wakho kumathegi we-SSML ukulawula okucacile:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Engeza izibonisi zemizwa ukuze uthintane nokuthunyelwa (usizo lwemodeli luhluka):
Chaza ukuchaza okujwayelekile (igama = ukuchaza):
Iminingwane yemodeli
Kitten TTS
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.
| Umthuthukisi: | KittenML |
| Ilayisense: | Apache 2.0 |
| Isivinini | Fast |
| Ubunjani: | |
| Izilimi | 1 isi-Latin |
| I-VRAM | 0GB |
| Ukulungiswa kwezwi | Ayixhasiwe |
Izincomo zemiphumela engcono
- Sebenzisa ukuphawula okulungile ngezikhathi zokuphumula kanye nokuchaza amagama
- Ukubhala inombolo kanye nezinhlamvu ezincane ukuze ubhale ngokucacile
- Engeza ama-commas ukwenza iziqephu ezincane phakathi kwezilimi
- Sebenzisa i-ellipsis (...) ukuyeka okude okunomthelela
- Zama i-Kokoro noma i-CosyVoice 2 ukuze uthole imiphumela emihle kakhulu
- Sebenzisa i-Dia yezingxoxo eziningi zomsindo kanye ne-podcast
Ukusetshenziswa kwegama
| I-Tiger | Izindleko ngamagama angama-1K |
|---|---|
| Ikhululekile | 1:1 (i-free) |
| Okujwayelekile | 2x amaphawu |
| i-Premium | 4x amaphawu |
Indlela i-AI isebenza ngayo
Dala izizwi ezisezingeni eliphakeme ezinyangeni ezintathu ezilula. Akukho lwazi oludingekayo.
Faka umbhalo wakho
Bhala, chofoza, noma ulayishe umbhalo ofuna ukuwuguqula ube ulwimi. Ixhasa kuze kube ngu-5,000 amaphawu ngenkulumo ngayinye kubasebenzisi abangeniswe. Sebenzisa umbhalo ojwayelekile noma ngeza amathegi we-SSML ukulawula okuphezulu kokukhuluma, ukuphumula, nokugcizelela.
Khetha imodeli & umsindo
Khetha kusuka ku-20+ amamodeli we-AI adlula ezinyangeni ezintathu. Khetha umsindo olingana nesihloko sakho, khetha ulwimi oludingayo, lungisa isivinini sokudlala kusuka ku-0.5x kuya ku-2.0x, futhi khetha ifomethi yesipiliyoni esithandekayo (MP3, WAV, OGG, noma FLAC).
Layisha phezulu
Chofoza yenza futhi umsindo wakho ulungile emizuzwini. Bona kuqala ngomdlali ofakwe ngaphakathi, zulazula kwifomethi oyikhethile, noma kopela i-link ehlukanisiwe. Sebenzisa i-API yokuphatha iqembu kanye nokuxhuma kwindlela yakho yokusebenza.
Isibonelo sokusetshenziswa kwetekisi sokukhuluma
Ukubhala-ukukhuluma okunamandla kwe-AI kuguqula indlela abantu abawenza ngayo, besebenzisa ngayo, besebenzisana ngayo namavidiyo emikhakheni eminingi yezobuchwepheshe.
Zonke izinhlelo zokuhlela umbhalo kumazwi
Izincazelo ezithe xaxa zemodeli ngayinye ye-AI etholakala ku-TTS.ai. Qaphela ukhwalithi, isivinini, insizakalo yesilimi, kanye nezici ukuze uthole imodeli efanele yephrojekthi yakho.
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.
Hexgrad
Apache 2.0
Fast
en, ja, zh, ko, fr, de, it, pt, es, hi, ru
1.5GB
Hayi
Ikhululekile
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.
Rhasspy
MIT
Fast
en, de, fr, es, it, pt, nl, pl, ru, zh, ja, ko, ar, cs, da, fi, el, hu, is, ka, kk, ne, no, ro, sk, sr, sv, sw, tr, uk, vi
0 (CPU only)
Hayi
Ikhululekile
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.
Jaehyeon Kim et al.
MIT
Fast
en, zh, ja, ko
1GB
Hayi
Ikhululekile
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.
MyShell.ai
MIT
Fast
en, es, fr, zh, ja, ko
0.5GB (GPU optional)
Hayi
Ikhululekile
Bark
Standard
I-Bark ngu-Suno iyimodeli yokubhala-kuya-kwezwi esekelwe ku-transformer ekwazi ukuletha amagama ahlukahlukene acacile kanye nezinye izilimi ezifana nomculo, umsindo wesizinda, kanye nemiphumela yesandi. Iyakwazi ukukhiqiza ukuxhumana okungasho lutho njengokukhala, ukushaya, nokushaya. I-Bark isekela izilimi ezingaphezu kuka-100 ezisetshenzisiwe nezilimi ezingaphezu kuka-13.
Suno
MIT
Slow
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
5GB
Hayi
2x
Bark Small
Standard
I-Bark Small iyimodeli ehlobene ne-Bark ethengisa umgangatho wesandi ngejubane lokuzichaza ngokujulile kanye nezidingo zememori ephansi. Igcina amandla we-Bark wokuveza amagama ngemizwa, ukumamatheka, nezinhlelo zesiNgisi.
Suno
MIT
Medium
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
2GB
Hayi
2x
CosyVoice 2
Standard
I-CosyVoice 2 i-Alibaba's Tongyi Lab ithola ubuhle bokukhuluma obulinganiswe nomuntu nge-latency ephansi kakhulu, iyenza ibe ngcono kakhulu kuzinhlelo zesikhathi sangempela. Isebenzisa indlela ye-quantization ye-scalar ephelezelwayo yokusakaza isizinda futhi ixhasa ukuklonya kwezwi elingekho, isizinda se-cross-language, kanye nokulawula imizwa encane. Isebenza kahle kakhulu kunezinhlelo eziningi ze-TTS ezithengisayo ezibaloni ezingenangqondo.
Alibaba (Tongyi Lab)
Apache 2.0
Medium
en, zh, ja, ko, fr, de, it, es
4GB
Yebo
2x
Dia TTS
Standard
I-Dia i-Nari Labs iyimodeli ye-1.6B parameter text-to-speech eyenziwe ngokukhethekile ukudala umsindo womsindo oningi. Ingakhiqiza ukuxhumana okubukekayo phakathi kwama-speakers amabili ngokuthatha i-turn-taking, i-prosody, kanye nokubonisana okunengqondo. I-Dia iyilungile ukudala okuqukethwe kwe-podcast-style, umsindo wencwadi yomsindo, kanye ne-AI yokuxhumana.
Nari Labs
Apache 2.0
Medium
en
4GB
Hayi
2x
Parler TTS
Standard
I-Parler TTS iyimodeli yokubhala-kuya-kwezwi esebenzisa ukuchaza kwezwi lesilimi esijwayelekile ukuphatha ulwimi olukhiqizwe. Ngezansi kokukhetha kusuka kumazwi asethelwe ngaphambili, uchaza ulwimi olufunayo (isibonelo, "uzwi lomfana opholile onesiNgisi esincane, okhuluma ngokucophelela futhi ngokucacile") futhi i-Parler ikhiqiza ulwimi olufana nalolu lwazi. Lokhu kwenza kube lula ukuyisebenzisa ngezicelo ezisha.
Hugging Face
Apache 2.0
Medium
en
4GB
Hayi
2x
GLM-TTS
Standard
GLM-TTS ngu Zhipu AI yindlela yokubhala-ukukhuluma eyenziwe nge-Llama architecture ne-flow matching. Ithola isilinganiso esiphansi sephutha lophawu phakathi kwamamodeli we-open-source TTS, okusho ukuthi ikhiqiza ukuchaza okunembile kakhulu. I-GLM-TTS isekela isiNgisi ne-Chinese nge-voice cloning kusuka kumasampula e-audio wesibili we-3-10.
Zhipu AI
GLM-4 License
Medium
en, zh
4GB
Yebo
2x
IndexTTS-2
Standard
IndexTTS-2 yindlela ethuthukisiwe yokubhala-ukukhuluma esebenza kahle kakhulu ekusetshenzisweni kwezwi elingekho-sikhashana nokulawula imizwa encane. Ingadala amagama athile amnandi, abuhlungu, abuhlungu, noma akhathazekile ngaphandle kokufuna idatha yoqeqesho yemizwa ekhethekile. Imodeli isebenzisa ama-emotions vector ukuphatha ngokucophelela ukubonakaliswa kwemizwa yezwi elikhiqizwe.
Index Team
Bilibili Model License
Medium
en, zh
4GB
Yebo
2x
Spark TTS
Standard
I-Spark TTS ngu-SparkAudio iyimodeli yombhalo-kuya-kwezwi ehlanganisa ukuklonywa kwezwi nesimo esilawulwayo kanye nesitayela sokukhuluma. Ukusebenzisa kuphela imizuzwana emihlanu ye-reference audio, ingaklonywa kwezwi bese ikhiqiza ulwimi olunesimo esihlukile, isivinini, nesitayela ngenkathi igcina ukubonakala kwezwi eliklonyeziwe. I-Spark TTS isebenzisa i-prompt-based control system.
SparkAudio
CC BY-NC-SA 4.0
Medium
en, zh
4GB
Yebo
2x
GPT-SoVITS
Standard
I-GPT-SoVITS ihlanganisa i-GPT-style language modeling ne-SoVITS (Singing Voice Inference via Translation and Synthesis) ukuklonya umsindo onamandla ombalwa. Ngemizuzu emihlanu kuphela ye-reference audio, ingaklonya umsindo ngokunembile futhi ikhiqize umsindo omusha ngenkathi igcina izici ezihlukile zomsindo. Isebenza kahle kunoma yikuphi ukuxoxa nokudansa kohlelo lokuhlanganiswa komsindo.
RVC-Boss
MIT
Slow
en, zh, ja, ko
6GB
Yebo
2x
Orpheus
Standard
I-Orpheus iyimodeli enkulu ye-text-to-speech efinyelela ku-human-level emotional expression. Iqeqeshiwe kumahora angaphezu kuka-100,000 wedatha yokukhuluma ehlukahlukene, i excels ekukhiqizeni ukukhuluma nge-emotions ezijwayelekile, ukubeka ingcindezi, nokukhuluma ngezitayela. I-Orpheus ingakhiqiza ukukhuluma okungahlukaniswa kakhulu nokurekhodwa komuntu.
Canopy Labs
Llama 3.2 Community
Medium
en
4GB
Hayi
2x
Chatterbox
Premium
Ibhokisi lokuxoxa elibizwa nge-Resemble AI liyimodeli yokuklonya umsindo osezingeni eliphakeme. Liyakwazi ukudlulisa noma yimuphi umsindo kusuka kusampula yomsindo eyodwa ngokunembile okuphawulekayo, lithatha hhayi kuphela i-timbre kodwa futhi nesitayela sokukhuluma kanye ne-emotional nuances. Ibhokisi lokuxoxa liqukethe futhi ukulawula okunengqondo kwe-emotional, okukuvumela ukuthi ulungele umsindo othandekayo wezwi elikhiqizwe ngokuzimela kusuka kumuntu wesikhulumi.
Resemble AI
MIT
Medium
en
4GB
Yebo
4x
Tortoise TTS
Premium
I-Tortoise TTS iyindlela yokuphendula ngokuzenzakalela izwi-eliningi-lokubhala-ukukhuluma enikeza kuqala umgangatho wesandi ngaphezulu kwejubane. Isebenzisa i-DALL-E-inspired architecture ukudala ulwimi olujwayelekile kakhulu nge-prosody engcono kakhulu kanye nohlobo lomsindo. Uma kunzima kunezinye izindlela eziningi, i-Tortoise ikhiqiza ezinye zezilimi ezibonakalayo ezikhona kwi-open-source ecosystem.
James Betker
Apache 2.0
Slow
en
8GB
Yebo
4x
StyleTTS 2
Premium
I-StyleTTS 2 ifinyelela isilinganisi se-TTS esiphezulu somuntu ngokuxhuma ukwakheka kwe-style nokuqeqeshwa okuphikisanayo usebenzisa amamodeli amakhulu e-language speech. Ikhiqiza ukukhuluma okubukekayo phakathi kwamamodeli omsindo owodwa, edlala nokulingisa kwabantu. I-StyleTTS 2 isebenzisa ukwakheka kwe-style esekelwe ekukhuleni ukuqoqa i-full range of human speech variation.
Columbia University
MIT
Medium
en
4GB
Hayi
4x
OpenVoice
Premium
OpenVoice ngu MyShell.ai ivumela ukuklonya kwezwi ngokushesha nge-granular control phezu kwesitayela sezwi, imizwa, isici, irythm, iziqephu, ne-intonation. Ingakwazi ukuklonya izwi kusuka ku-audio clip encane futhi ikhiqize ulwimi oluningi ngenkathi igcina isikhulumi. OpenVoice isebenza futhi njenge-voice converter, ivumela ukushintshana kwezwi ngesikhathi sangempela.
MyShell.ai / MIT
MIT
Medium
en, zh, ja, ko, fr, de, es, it
4GB
Yebo
4x
Qwen3 TTS
Standard
Qwen3-TTS yimodeli ye-1.7 billion parameter text-to-speech evela kwiqembu le-Alibaba's Qwen. Ixhasa amamodi amathathu: amazwi asethelwe ngaphambili ngokulawula kwemizwa (ama-speakers angu-9), ukuklonywa kwezwi kusuka kumasekondi angama-3 kuphela wesandi, kanye nemodi yokwakha umsindo ohlukile lapho uchaza khona umsindo ofuna ukuwusebenzisa nge-language ejwayelekile. Ifaka iilwimi ezingu-10 ezinesibonakaliso esiphezulu kanye ne-prosody ejwayelekile.
Alibaba (Qwen)
Apache 2.0
Medium
en, zh, ja, ko, de, fr, ru, pt, es, it
7GB
Yebo
2x
Sesame CSM
Premium
I-Sesame CSM (i-Conversational Speech Model) iyimodeli ye-parameter eyizigidi eziyizigidi ezingu-1 eyenziwe ngokukhethekile ukukhiqiza ulwimi oluxoxwa ngalo. Imodeli imodeli yesimo esijwayelekile sokukhuluma umuntu kufaka phakathi ukushintsha-kuthatha isikhathi, ukuphendula kwe-backchannel, ukuphendula kwengqondo, nokudlulisa ulwimi. I-CSM ikhiqiza umsindo ozwakala njengenhlanganiso yomuntu ojwayelekile ngaphezu kokuxoxwa kwe-synthetic.
Sesame
Apache 2.0
Slow
en
8GB
Hayi
4x
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.
KittenML
Apache 2.0
Fast
en
0GB
Hayi
Ikhululekile
Kokoro
Ikhululekile
Kokoro is an 82 million parameter text-to-speech model that punches well above its weight class. Despite its tiny size, it produces remarkably natural and expressive speech. Kokoro supports multiple languages including English, Japanese, Chinese, and Korean with a variety of expressive voices. It runs incredibly fast — generating audio nearly 100x faster than real-time on a GPU.
Hexgrad
Apache 2.0
Fast
Piper
Ikhululekile
Piper is a lightweight text-to-speech engine developed by Rhasspy that uses VITS and larynx architectures. It runs entirely on CPU, making it ideal for edge devices, home automation, and applications requiring offline TTS. With over 100 voices across 30+ languages, Piper delivers natural-sounding speech at real-time speeds even on a Raspberry Pi 4.
Rhasspy
MIT
Fast
VITS
Ikhululekile
VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) is a parallel end-to-end TTS method that generates more natural sounding audio than current two-stage models. It adopts variational inference augmented with normalizing flows and an adversarial training process, achieving a significant improvement in naturalness.
Jaehyeon Kim et al.
MIT
Fast
MeloTTS
Ikhululekile
MeloTTS by MyShell.ai is a multilingual TTS library supporting English (American, British, Indian, Australian), Spanish, French, Chinese, Japanese, and Korean. It is extremely fast, processing text at near real-time speed on CPU alone. MeloTTS is designed for production use and supports both CPU and GPU inference.
MyShell.ai
MIT
Fast
Kitten TTS
Ikhululekile
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.
KittenML
Apache 2.0
Fast
Bark
Okujwayelekile
Bark by Suno is a transformer-based text-to-audio model that can generate highly realistic, multilingual speech as well as other audio like music, background noise, and sound effects. It can produce nonverbal communications like laughing, sighing, and crying. Bark supports over 100 speaker presets and 13+ languages.
Suno
MIT
Slow
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
Hayi
Bark Small
Okujwayelekile
Bark Small is a distilled version of the Bark model that trades some audio quality for significantly faster inference speeds and lower memory requirements. It retains Bark's ability to generate speech with emotions, laughter, and multiple languages.
Suno
MIT
Medium
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
Hayi
CosyVoice 2
Okujwayelekile
CosyVoice 2 by Alibaba's Tongyi Lab achieves human-comparable speech quality with extremely low latency, making it ideal for real-time applications. It uses a finite scalar quantization approach for streaming synthesis and supports zero-shot voice cloning, cross-lingual synthesis, and fine-grained emotion control. It outperforms many commercial TTS systems in subjective evaluations.
Alibaba (Tongyi Lab)
Apache 2.0
Medium
en, zh, ja, ko, fr, de, it, es
Yebo
Dia TTS
Okujwayelekile
Dia by Nari Labs is a 1.6B parameter text-to-speech model designed specifically for generating multi-speaker dialogue. It can produce natural-sounding conversations between two speakers with appropriate turn-taking, prosody, and emotional expression. Dia is perfect for creating podcast-style content, audiobook dialogues, and interactive conversational AI.
Nari Labs
Apache 2.0
Medium
en
Hayi
Parler TTS
Okujwayelekile
Parler TTS is a text-to-speech model that uses natural language voice descriptions to control the generated speech. Instead of selecting from preset voices, you describe the voice you want (e.g., "a warm female voice with a slight British accent, speaking slowly and clearly") and Parler generates speech matching that description. This makes it uniquely flexible for creative applications.
Hugging Face
Apache 2.0
Medium
en
Hayi
GLM-TTS
Okujwayelekile
GLM-TTS by Zhipu AI is a text-to-speech system built on the Llama architecture with flow matching. It achieves the lowest character error rate among open-source TTS models, meaning it produces the most accurate pronunciation. GLM-TTS supports English and Chinese with voice cloning from 3-10 second audio samples.
Zhipu AI
GLM-4 License
Medium
en, zh
Yebo
IndexTTS-2
Okujwayelekile
IndexTTS-2 is an advanced text-to-speech system that excels at zero-shot voice synthesis with fine-grained emotion control. It can generate speech with specific emotional tones like happy, sad, angry, or fearful without requiring emotion-specific training data. The model uses emotion vectors to precisely control the emotional expression of generated speech.
Index Team
Bilibili Model License
Medium
en, zh
Yebo
Spark TTS
Okujwayelekile
Spark TTS by SparkAudio is a text-to-speech model that combines voice cloning with controllable emotion and speaking style. Using just 5 seconds of reference audio, it can clone a voice and then generate speech with different emotions, speeds, and styles while maintaining the cloned voice identity. Spark TTS uses a prompt-based control system.
SparkAudio
CC BY-NC-SA 4.0
Medium
en, zh
Yebo
GPT-SoVITS
Okujwayelekile
GPT-SoVITS combines GPT-style language modeling with SoVITS (Singing Voice Inference via Translation and Synthesis) for powerful few-shot voice cloning. With as little as 5 seconds of reference audio, it can accurately clone a voice and generate new speech while preserving the speaker's unique characteristics. It excels at both speaking and singing voice synthesis.
RVC-Boss
MIT
Slow
en, zh, ja, ko
Yebo
Orpheus
Okujwayelekile
Orpheus is a large-scale text-to-speech model that achieves human-level emotional expression. Trained on over 100,000 hours of diverse speech data, it excels at generating speech with natural emotions, emphasis, and speaking styles. Orpheus can produce speech that is virtually indistinguishable from human recordings.
Canopy Labs
Llama 3.2 Community
Medium
en
Hayi
Qwen3 TTS
Okujwayelekile
Qwen3-TTS is a 1.7 billion parameter text-to-speech model from Alibaba's Qwen team. It supports three modes: preset voices with emotion control (9 speakers), voice cloning from just 3 seconds of audio, and a unique voice design mode where you describe the voice you want in natural language. It covers 10 languages with high expressiveness and natural prosody.
Alibaba (Qwen)
Apache 2.0
Medium
en, zh, ja, ko, de, fr, ru, pt, es, it
Yebo
Chatterbox
i-Premium
Chatterbox by Resemble AI is a cutting-edge zero-shot voice cloning model. It can replicate any voice from a single audio sample with remarkable accuracy, capturing not just the timbre but also the speaking style and emotional nuances. Chatterbox also features fine-grained emotion control, allowing you to adjust the emotional tone of the generated speech independently from the voice identity.
Resemble AI
MIT
Medium
en
Yebo
4GB
4x
Tortoise TTS
i-Premium
Tortoise TTS is an autoregressive multi-voice text-to-speech system that prioritizes audio quality over speed. It uses DALL-E-inspired architecture to generate highly natural speech with excellent prosody and speaker similarity. While slower than many alternatives, Tortoise produces some of the most realistic synthetic speech available in the open-source ecosystem.
James Betker
Apache 2.0
Slow
en
Yebo
8GB
4x
StyleTTS 2
i-Premium
StyleTTS 2 achieves human-level TTS synthesis by combining style diffusion with adversarial training using large speech language models. It generates the most natural sounding speech among single-speaker models, rivaling human recordings. StyleTTS 2 uses diffusion-based style modeling to capture the full range of human speech variation.
Columbia University
MIT
Medium
en
Hayi
4GB
4x
OpenVoice
i-Premium
OpenVoice by MyShell.ai enables instant voice cloning with granular control over voice style, emotion, accent, rhythm, pauses, and intonation. It can clone a voice from a short audio clip and generate speech in multiple languages while maintaining the speaker identity. OpenVoice also functions as a voice converter, allowing real-time voice transformation.
MyShell.ai / MIT
MIT
Medium
en, zh, ja, ko, fr, de, es, it
Yebo
4GB
4x
Sesame CSM
i-Premium
Sesame CSM (Conversational Speech Model) is a 1 billion parameter model designed specifically for generating conversational speech. It models the natural patterns of human conversation including turn-taking timing, backchannel responses, emotional reactions, and conversational flow. CSM generates audio that sounds like a natural human conversation rather than synthetic speech.
Sesame
Apache 2.0
Slow
en
Hayi
8GB
4x
Ithebula lokuqhathaniswa kwemodeli
| Imodeli | Umthuthukisi: | I-Tiger | Ubunjani: | Isivinini | Izilimi | Ukulungiswa kwezwi | I-VRAM | Ilayisense: | Izindleko | |
|---|---|---|---|---|---|---|---|---|---|---|
| Kokoro | Hexgrad | Free | Fast | 11 | 1.5GB | Apache 2.0 | Ikhululekile | Sebenzisa | ||
| Piper | Rhasspy | Free | Fast | 31 | 0 (CPU only) | MIT | Ikhululekile | Sebenzisa | ||
| VITS | Jaehyeon Kim et al. | Free | Fast | 4 | 1GB | MIT | Ikhululekile | Sebenzisa | ||
| MeloTTS | MyShell.ai | Free | Fast | 6 | 0.5GB (GPU optional) | MIT | Ikhululekile | Sebenzisa | ||
| Bark | Suno | Standard | Slow | 13 | 5GB | MIT | 2 | Sebenzisa | ||
| Bark Small | Suno | Standard | Medium | 13 | 2GB | MIT | 2 | Sebenzisa | ||
| CosyVoice 2 | Alibaba (Tongyi Lab) | Standard | Medium | 8 | 4GB | Apache 2.0 | 2 | Sebenzisa | ||
| Dia TTS | Nari Labs | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | Sebenzisa | ||
| Parler TTS | Hugging Face | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | Sebenzisa | ||
| GLM-TTS | Zhipu AI | Standard | Medium | 2 | 4GB | GLM-4 License | 2 | Sebenzisa | ||
| IndexTTS-2 | Index Team | Standard | Medium | 2 | 4GB | Bilibili Model License | 2 | Sebenzisa | ||
| Spark TTS | SparkAudio | Standard | Medium | 2 | 4GB | CC BY-NC-SA 4.0 | 2 | Sebenzisa | ||
| GPT-SoVITS | RVC-Boss | Standard | Slow | 4 | 6GB | MIT | 2 | Sebenzisa | ||
| Orpheus | Canopy Labs | Standard | Medium | 1 | 4GB | Llama 3.2 Community | 2 | Sebenzisa | ||
| Chatterbox | Resemble AI | Premium | Medium | 1 | 4GB | MIT | 4 | Sebenzisa | ||
| Tortoise TTS | James Betker | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | Sebenzisa | ||
| StyleTTS 2 | Columbia University | Premium | Medium | 1 | 4GB | MIT | 4 | Sebenzisa | ||
| OpenVoice | MyShell.ai / MIT | Premium | Medium | 8 | 4GB | MIT | 4 | Sebenzisa | ||
| Qwen3 TTS | Alibaba (Qwen) | Standard | Medium | 10 | 7GB | Apache 2.0 | 2 | Sebenzisa | ||
| Sesame CSM | Sesame | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | Sebenzisa | ||
| Kitten TTS | KittenML | Free | Fast | 1 | 0GB | Apache 2.0 | Ikhululekile | Sebenzisa |
I-AI ebanzi kakhulu ye-Text to Speech Platform
Kungani ukhetha i-TTS.ai ye-Text to Speech?
TTS.ai ihlanganisa amamodeli angcono kakhulu e-open-source text-to-speech ezweni lonke engxenyeni eyodwa, elula ukuyisebenzisa. Ngokungafani nezinsizakalo ezisemthethweni ezikuvala kunjini yezwi elilodwa, i-TTS.ai ikunikeza ukufinyelela kumamodeli angama-20+ avela kumalabs wocwaningo ahamba phambili kufaka phakathi i-Coqui, i-MyShell, i-Amphion, i-NVIDIA, i-Suno, i-HuggingFace, i-Tsinghua University, nezinye eziningi.
Yonke imodeli ivulekile ngezansi kwe-MIT, i-Apache 2.0, noma izinqumo ezilinganayo, eziqinisekisa ukuthi unelungelo eligcwele lokuhweba lokusebenzisa umsindo okhiqizwe emikhakheni yakho. Uma ufuna ukukhiqizwa okukhawulelwe, okuncane kwe-synthesizer yezinhlelo zesikhathi sangempela noma i-premium studio-quality output ye-audiobooks ne-podcasts, i-TTS.ai inemodeli efanele nganoma iyiphi inqubo yokusetshenziswa.
Amamodeli amahhala, akukho akhawunti edingekayo
Qala ngokushesha ngezinhlobo ezintathu ze-TTS ezimahhala: i-Piper (ekhawulelwe kakhulu, elula), i-VITS (ikhwalithi ephezulu ye-neural synthesis), ne-MeloTTS (usizo lwesilimi esiningi). Akukho ubhaliso, akukho ikhadi le-credit, akukho kuphikiswa kwezizukulwane. Izinhlobo ezimahhala zixhasa isiNgisi nezinye izilimi eziningi nge-output ezwakalayo efanelekayo kuzinhlelo eziningi.
Ukuphathwa okukhawulelwe yi-GPU
Zonke imodeli ze-TTS zisebenza ku-NVIDIA GPUs ezikhethekile ezihamba ngokushesha, eziqhubekayo. Imodeli emahhala idala umsindo ngaphansi kwamasekondi angama-2. Imodeli ejwayelekile njenge-Kokoro, CosyVoice 2, ne-Bark iphakathi kwamasekondi angama-3-5. Imodeli yepremium enekhwalithi ephezulu, njenge-Tortoise ne-Chatterbox, isebenza kumasekondi angama-5-15 ngokuya ngedekhi yokubhala.
30+ Izilimi ezixhasiwe
Ukwenza ukukhuluma ngemilimi engaphezu kuka-30 kufaka phakathi isiNgisi, isiShayina, isiFrentshi, isiJalimane, isiTaliyani, isiPutukezi, isiSina, isiJalimane, isiKorea, isiArabhu, isiHindi, isiRussia, nezinye eziningi. Amamodeli ahlukahlukene axhasa ukwenziwa kwezwi elidlula ilimi, okusho ukuthi ungadala ukukhuluma ngelimi izwi elidlulele alizange liqeqeshwe. I-CosyVoice 2 ne-GPT-SoVITS zihamba phambili ekukloneni kwezwi elidlula ilimi.
Umthuthukisi-Izilungele API
I-TTS.ai ifakwe kumasevisi akho nge-REST API yethu ehambisana ne-OpenAI. Ingxenye eyodwa yesimo se-20 +. I-Python, i-JavaScript, i-cURL, ne-Go SDKs. Ukuxhaswa kokushayela kwezinhlelo zokusebenza zesikhathi sangempela. Ukuphathwa kwe-batch kokukhiqizwa kwe-content enkulu. I-Webhooks yezimemezelo ze-async. Itholakala kuma-Pro ne-Enterprise plans.
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