AI Text to SpeechName
Kusintha malemba kuti azikhala ndi mawu owoneka bwino ndi mapangidwe a AI otsegulidwa. Osati kuti azigwiritsa ntchito, palibe akaunti yofunikira.
Wrap wanu malemba mu SSML tags kwa kuwongolera moyenera:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Kuwonjezera emotion markers kukhudza kutumiza (model thandizo amasiyana):
Define custom pronunciations (word = pronunciation):
Model Deta
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.
| Wopanga: | KittenML |
| License: | Apache 2.0 |
| Mphamvu | Fast |
| Ubwino: | |
| Madera | 1 Chilankhulo |
| VRAM | 0GB |
| Chizindikiro cha mawu | Siyithandizidwa |
Malangizo kwa zabwino Zochitika
- _Gwiritsani ntchito zolemba zoyenera kuti mupange mapausa ndi mawu oyenera
- Pezani zilembo ndi zilembo zofupikitsidwa kuti muphunzire kulankhula bwino
- Kuwonjezera makompyuta kuti apange maulendo ochepa pakati pa mawu
- _Ikani ma elements (...) kuti muchepetse nthawi yoletsa
- Pezani Kokoro kapena CosyVoice 2 kuti mukhale ndi zotsatira zabwino kwambiri
- _Gwiritsani ntchito Dia kwa macheza ndi ma podcasts osiyanasiyana
Kugwiritsa ntchito Character
| Mtundu | Mtengo pa 1K chars |
|---|---|
| _Yaulere | 1:1 (opanda malire) |
| Chilungamo | 2x characters |
| Premium | 4x characters |
Momwe AI Text to Speech ikugwira ntchito
Pangani ma voiceovers amtundu wakatswiri m'njira zitatu zosavuta. Palibe luso laukadaulo lofunikira.
Ikani mawu anu
Kusintha kwa mawu
Sankhani Model & Voice
Sankhani kuchokera 20 + AI mafano m'magulu atatu.Chotsani mawu kuti amagwirizana ndi zinthu zanu, kusankha wanu cholinga zinenero, kusintha playback galimoto kuchokera 0.5x kuti 2.0x, ndi kusankha mukufuna chiwonetsero chazithunzi mtundu (MP3, WAV, OGG, kapena FLAC).
Pangani & Lowani
Dinani Sinthani ndipo audio yanu idzakhala yodzaza m'masekondi ochepa. Preview ndi built-in wosewera mpira, kutsitsa mu mtundu wanu wosankhidwa, kapena kukopera ulalo wogawana.
Text kuti Speech Use Cases
AI-powered text-to-speech ikusintha momwe anthu amapangira, kugwiritsira ntchito, komanso kulumikizana ndi ma audio content m'magawo ambiri amakampani.
Malemba onse a Text to Speech Models
Mafotokozedwe okhudzana ndi kapangidwe kake ka AI kapezeka pa TTS.ai.Sankhani mtundu, kuthamanga, kuthandizira zinenero, ndi zinthu zina kuti mupeze kapangidwe kabwino kwambiri ka projekiti yanu.
Kokoro
Free
Kokoro ndi 82 miliyoni paramita malemba-ku-kulankhula chitsanzo chomwe punches bwino pamwamba pa khalidwe lake la thupi. Ngakhale ndi ochepa kukula, amatulutsa mawu owoneka bwino ndi owoneka bwino. Kokoro amathandiza mabungwe ambiri kuphatikizapo Chijeremani, Chijeremani, Chijeremani, ndi Korean ndi mitundu yosiyanasiyana ya mawu owoneka bwino.
Hexgrad
Apache 2.0
Fast
en, ja, zh, ko, fr, de, it, pt, es, hi, ru
1.5GB
Palibe
_Yaulere
Piper
Free
Piper ndi makina otsika mtengo a mawu ochokera ku mawu omwe adapangidwa ndi Rhasspy omwe amagwiritsa ntchito VITS ndi larynx architectures. Imayenda kwathunthu pa CPU, zomwe zimapangitsa kuti ikhale yabwino kwa zida za edge, zowongolera zanyumba, ndi mapulogalamu omwe akufuna TTS osagwirizana. Ndi mawu oposa 100 m'zinenero 30 +, Piper imabweretsa mawu owoneka bwino panthawi ya real-time ngakhale pa 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)
Palibe
_Yaulere
VITS
Free
VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) ndi njira yofanana yoyambira kumapeto kwa TTS yomwe imapanga mawu owoneka bwino kwambiri kuposa mamodeli anthawi zonse awiri. Imagwiritsa ntchito kutengera kwa maonekedwe osiyanasiyana omwe amawonjezeredwa ndi kuwongolera kwa magazi ndi njira yophunzitsa yotsutsana, yomwe imakwaniritsa kuwonjezeka kwakukulu kwa chilengedwe.
Jaehyeon Kim et al.
MIT
Fast
en, zh, ja, ko
1GB
Palibe
_Yaulere
MeloTTS
Free
MeloTTS ndi MyShell.ai ndi TTS library yokhala ndi mabuku ambiri omwe amathandizira Chijeremani (cha America, cha British, cha Indian, cha Australia), Chisipanishi, Chifalansa, Chijeremani, cha Japanese, ndi cha Korean. Ndiyabwino kwambiri, yopanga malemba panthawi yoyenera kwambiri pa CPU yokha. MeloTTS idapangidwa kuti igwiritse ntchito kupanga ndipo imathandizira kuzindikira kwa CPU ndi GPU.
MyShell.ai
MIT
Fast
en, es, fr, zh, ja, ko
0.5GB (GPU optional)
Palibe
_Yaulere
Bark
Standard
Bark ndi Suno ndi transformer-ogwirizana malemba-ku-audio model kuti angayambitse kwambiri realistic, mawu ambirimbiri monganso ena audio monga nyimbo, fumbi m'mbuyo, ndi zotsatira za mawu.It angayambitse nonverbal kulankhulana monga kuseka, kupweteka, ndi kugwa. Bark amathandiza zoposa 100 speaker presets ndi 13 + zinenero.
Suno
MIT
Slow
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
5GB
Palibe
2x
Bark Small
Standard
Bark Small ndi mtundu wosinthidwa wa Bark model womwe umagulitsa zina mwa zinthu za audio kuti zikhale ndi kuthekera kofulumira kwambiri komanso zofunikira za kukumbukira.Izi zimasunga kulimba kwa Bark kuti zikhale ndi mawu ndi maganizo, kuseka, ndi mabungwe ambiri.
Suno
MIT
Medium
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
2GB
Palibe
2x
CosyVoice 2
Standard
CosyVoice 2 ya Tongyi Lab ya Alibaba imakwaniritsa mtundu wa mawu ogwirizana ndi munthu ndi latency yayikulu kwambiri, zomwe zimapangitsa kuti zikhale zosavuta kugwiritsa ntchito nthawi yambiri. Imagwiritsa ntchito njira yomaliza ya quantum kwa synthesization ya streaming ndipo imathandizira kujambula mawu opanda malire, synthesization yosiyanasiyana ya zinenero, komanso kuwongolera maganizo olimba.
Alibaba (Tongyi Lab)
Apache 2.0
Medium
en, zh, ja, ko, fr, de, it, es
4GB
Yes
2x
Dia TTS
Standard
Dia ndi Nari Labs ndi 1.6B paramita malemba-ku-kulankhula model anapanga mosamala kuti atenge mauthenga ambiri-wolankhula. Ikhoza kupanga zokambirana zowoneka bwino pakati pa olankhula awiri ndi zoyenera turn-kutenga, prosody, ndi kusonyeza chisoni. Dia ndi yabwino kwa kulenga podcast-style zinthu, audiobook mauthenga, ndi interactional conversational AI.
Nari Labs
Apache 2.0
Medium
en
4GB
Palibe
2x
Parler TTS
Standard
Parler TTS ndi mtundu wa mawu-ku-mawu womwe umagwiritsa ntchito mawu ofotokoza mawu kuti ayang'ane mawu omwe amapangidwa. M'malo mosankha kuchokera ku mawu omwe amakonzedwa, mumafotokoza mawu omwe mukufuna (mwachitsanzo, "mawu a mkazi wotentha ndi mawu a British, akulankhula mofulumira komanso mosawoneka bwino") ndipo Parler imapanga mawu omwe amagwirizana ndi mawu omwe amafotokozedwa. Izi zimapangitsa kuti ikhale yosinthika kwambiri kwa ntchito zopanga.
Hugging Face
Apache 2.0
Medium
en
4GB
Palibe
2x
GLM-TTS
Standard
GLM-TTS ndi pulogalamu yosintha mawu kukhala mawu yomwe imagwiritsa ntchito zida za Llama ndi njira yosagwirizana ya flow matching. GLM-TTS imathandiza Chijeremani ndi Chisipanishi ndi kufalitsa mawu kuchokera pa 3-10 masekondi a mawu.
Zhipu AI
GLM-4 License
Medium
en, zh
4GB
Yes
2x
IndexTTS-2
Standard
IndexTTS-2 ndi njira yosinthira mawu kukhala mawu yomwe imagwira ntchito bwino kwambiri pakupanga mawu opanda kanthu ndi kuwongolera maganizo mosasamala kanthu. Ikhoza kupanga mawu ndi maganizo osiyanasiyana monga osangalala, okhumudwa, okhumudwa kapena okhumudwa popanda kufunikira kuphunzira mawu osiyanasiyana.
Index Team
Bilibili Model License
Medium
en, zh
4GB
Yes
2x
Spark TTS
Standard
Spark TTS ya SparkAudio ndi mtundu wa mawu-ku-mawu womwe umaphatikizapo kufalitsa mawu ndi kuwongolera maganizo ndi mtundu wa mawu. Pogwiritsa ntchito masekondi 5 okha a ma audio, imatha kufalitsa mawu ndipo imapanga mawu ndi maganizo, magwiridwe antchito ndi mitundu yosiyanasiyana, popeza imasunga chidziwitso cha mawu chofalitsidwa. Spark TTS imagwiritsa ntchito njira yoyang'anira yomwe imayang'aniridwa ndi uthenga.
SparkAudio
CC BY-NC-SA 4.0
Medium
en, zh
4GB
Yes
2x
GPT-SoVITS
Standard
GPT-SoVITS imaphatikizapo kujambula kwa mawu a GPT ndi SoVITS (Singing Voice Inference via Translation and Synthesis) kwa kujambula mawu kwamphamvu kwa ma shots ochepa. Ndi 5 masekondi ochepa a audio yolemba, imatha kujambula mawu moyenera ndikupanga mawu atsopano poteteza mfundo zosiyanasiyana za wokamba.
RVC-Boss
MIT
Slow
en, zh, ja, ko
6GB
Yes
2x
Orpheus
Standard
Orpheus ndi mtundu waukulu wa kulemba-ku-kulankhula womwe umakwaniritsa chidziwitso cha chisoni pamalingaliro a munthu. Kuphunzira pa maola oposa 100,000 a deta yosiyanasiyana ya mawu, imagwira bwino ntchito popanga mawu ndi chisoni chachilengedwe, kutanthauzira, ndi mitundu yolankhula.
Canopy Labs
Llama 3.2 Community
Medium
en
4GB
Palibe
2x
Chatterbox
Premium
Chatterbox by Resemble AI ndi njira yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo yokhayo.
Resemble AI
MIT
Medium
en
4GB
Yes
4x
Tortoise TTS
Premium
Tortoise TTS ndi njira yosinthira malemba kukhala mawu yokhala ndi mawu ambiri yomwe imadalira khalidwe la mawu kuposa kuthamanga kwake. Imagwiritsa ntchito kapangidwe kake ka DALL-E kuti ipange mawu okongola kwambiri ndi prosody yabwino komanso kufanana kwa omvera. Ngakhale kuti ndi yocheperako kuposa njira zina zambiri, Tortoise imapanga mawu ofanana kwambiri ndi mawu omwe ali m'makompyuta aulere.
James Betker
Apache 2.0
Slow
en
8GB
Yes
4x
StyleTTS 2
Premium
StyleTTS 2 imakwaniritsa TTS synthesization ya munthu-level pogwiritsa ntchito kulumikizana kwa mtundu ndi kuphunzitsa kwa otsutsana pogwiritsa ntchito mapangidwe a mawu akuluakulu. Amapanga mawu owoneka bwino kwambiri pakati pa mapangidwe a mawu a munthu mmodzi, opikisana ndi zolemba za munthu.
Columbia University
MIT
Medium
en
4GB
Palibe
4x
OpenVoice
Premium
OpenVoice ya MyShell.ai imalola kujambula mawu mwamsanga ndi kuwongolera kwa granular pamtundu wa mawu, chisoni, kuyankhula, ritmu, kuletsa, ndi kuyankhula. Itha kujambula mawu kuchokera ku audio clip yafupi ndi kutulutsa mawu m'zinenero zambiri poteteza chidziwitso cha wolankhula. OpenVoice imagwiranso ntchito ngati wosintha mawu, kulola kusintha kwa mawu panthawi ya real-time.
MyShell.ai / MIT
MIT
Medium
en, zh, ja, ko, fr, de, es, it
4GB
Yes
4x
Qwen3 TTS
Standard
Qwen3-TTS ndi 1.7 biliyoni paramita malemba-ku-kulankhula mtundu kuchokera Qwen Alibaba's timu. It supports atatu modes: preset mawu ndi kuwongolera maganizo (9 okamba), mawu kloning kuchokera 3 masekondi okha a audio, ndi khalidwe lapadera mawu design mode kumene inu kufotokoza mawu mukufuna mu chilankhulo chachilengedwe.It amaphatikizapo 10 mabungwe a zinenero ndi khalidwe labwino ndi zomvetsera zachilengedwe.
Alibaba (Qwen)
Apache 2.0
Medium
en, zh, ja, ko, de, fr, ru, pt, es, it
7GB
Yes
2x
Sesame CSM
Premium
Sesame CSM (Conversational Speech Model) ndi 1 billion parameter model yopangidwa mwapadera kuti ipange uthenga wolankhulana. Imakhala ndi mapangidwe achilengedwe a uthenga wa munthu kuphatikizapo nthawi yosintha, mayankho a backchannel, mayankho a maganizo, ndi uthenga wolankhulana. CSM imapanga audio yomwe imawoneka ngati uthenga wa munthu wachilengedwe kuposa uthenga wopangidwa.
Sesame
Apache 2.0
Slow
en
8GB
Palibe
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
Palibe
_Yaulere
Kokoro
_Yaulere
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
_Yaulere
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
_Yaulere
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
_Yaulere
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
_Yaulere
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
Chilungamo
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
Palibe
Bark Small
Chilungamo
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
Palibe
CosyVoice 2
Chilungamo
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
Yes
Dia TTS
Chilungamo
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
Palibe
Parler TTS
Chilungamo
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
Palibe
GLM-TTS
Chilungamo
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
Yes
IndexTTS-2
Chilungamo
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
Yes
Spark TTS
Chilungamo
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
Yes
GPT-SoVITS
Chilungamo
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
Yes
Orpheus
Chilungamo
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
Palibe
Qwen3 TTS
Chilungamo
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
Yes
Model Kuyerekezera Table
| Model | Wopanga: | Mtundu | Ubwino: | Mphamvu | Madera | Chizindikiro cha mawu | VRAM | License: | Mtengo | |
|---|---|---|---|---|---|---|---|---|---|---|
| Kokoro | Hexgrad | Free | Fast | 11 | 1.5GB | Apache 2.0 | _Yaulere | Kugwiritsa ntchito | ||
| Piper | Rhasspy | Free | Fast | 31 | 0 (CPU only) | MIT | _Yaulere | Kugwiritsa ntchito | ||
| VITS | Jaehyeon Kim et al. | Free | Fast | 4 | 1GB | MIT | _Yaulere | Kugwiritsa ntchito | ||
| MeloTTS | MyShell.ai | Free | Fast | 6 | 0.5GB (GPU optional) | MIT | _Yaulere | Kugwiritsa ntchito | ||
| Bark | Suno | Standard | Slow | 13 | 5GB | MIT | 2 | Kugwiritsa ntchito | ||
| Bark Small | Suno | Standard | Medium | 13 | 2GB | MIT | 2 | Kugwiritsa ntchito | ||
| CosyVoice 2 | Alibaba (Tongyi Lab) | Standard | Medium | 8 | 4GB | Apache 2.0 | 2 | Kugwiritsa ntchito | ||
| Dia TTS | Nari Labs | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | Kugwiritsa ntchito | ||
| Parler TTS | Hugging Face | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | Kugwiritsa ntchito | ||
| GLM-TTS | Zhipu AI | Standard | Medium | 2 | 4GB | GLM-4 License | 2 | Kugwiritsa ntchito | ||
| IndexTTS-2 | Index Team | Standard | Medium | 2 | 4GB | Bilibili Model License | 2 | Kugwiritsa ntchito | ||
| Spark TTS | SparkAudio | Standard | Medium | 2 | 4GB | CC BY-NC-SA 4.0 | 2 | Kugwiritsa ntchito | ||
| GPT-SoVITS | RVC-Boss | Standard | Slow | 4 | 6GB | MIT | 2 | Kugwiritsa ntchito | ||
| Orpheus | Canopy Labs | Standard | Medium | 1 | 4GB | Llama 3.2 Community | 2 | Kugwiritsa ntchito | ||
| Chatterbox | Resemble AI | Premium | Medium | 1 | 4GB | MIT | 4 | Kugwiritsa ntchito | ||
| Tortoise TTS | James Betker | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | Kugwiritsa ntchito | ||
| StyleTTS 2 | Columbia University | Premium | Medium | 1 | 4GB | MIT | 4 | Kugwiritsa ntchito | ||
| OpenVoice | MyShell.ai / MIT | Premium | Medium | 8 | 4GB | MIT | 4 | Kugwiritsa ntchito | ||
| Qwen3 TTS | Alibaba (Qwen) | Standard | Medium | 10 | 7GB | Apache 2.0 | 2 | Kugwiritsa ntchito | ||
| Sesame CSM | Sesame | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | Kugwiritsa ntchito | ||
| Kitten TTS | KittenML | Free | Fast | 1 | 0GB | Apache 2.0 | _Yaulere | Kugwiritsa ntchito |
The Most Kuphatikiza AI Text to Speech Platform
N'chifukwa Chiyani Sankhani TTS.ai kwa Text to Speech?
TTS.ai amabweretsa limodzi dziko
Kawirikawiri, TTS.ai imagwiritsa ntchito machitidwe a TTS.ai, ndipo imagwiritsa ntchito machitidwe a TTS.ai kuti ipange machitidwe a TTS.ai.Kafukufuku waposachedwa wa 2016 wapeza kuti TTS.ai ndi imodzi mwamachitidwe abwino kwambiri a TTS.ai.Kuphatikiza apo, TTS.ai imagwiritsa ntchito machitidwe a TTS.ai kuti ipange machitidwe apamwamba kwambiri a TTS.ai.
Free Models, palibe akaunti yofunikira
Kuyamba mwamsanga ndi 3 ufulu TTS mafano: Piper (ultra-mosavuta, lightweight), VITS (kwabwino neural sinthesi), ndi MeloTTS (multi-zilankhulo thandizo). Palibe kulembetsa, palibe ngongole khadi, palibe malire pa zaka.
Kugwiritsa ntchito kwa GPU- Accelerated
Zomwe zimapangidwa ndi TTS zimagwira ntchito pa GPUs za NVIDIA zopangidwa kuti zikhale ndi nthawi yopanga mwachangu komanso yogwirizana. Mapangidwe aulere amapanga mawu m'masekondi 2. Mapangidwe ovomerezeka monga Kokoro, CosyVoice 2, ndi Bark amatenga masekondi 3-5. Mapangidwe a premium omwe ali ndi mtundu wabwino kwambiri, monga Tortoise ndi Chatterbox, amagwira ntchito m'masekondi 5-15 malinga ndi kukula kwa malemba.
30 + Zilankhulo Zothandizidwa
Kutulutsa mawu m'zinenero zoposa 30 kuphatikizapo Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chi
Wopanga-Woyenera API
Kuphatikiza TTS.ai m'mapulogalamu anu ndi REST API yathu yogwirizana ndi OpenAI. Mtundu umodzi wa 20 +. Python, JavaScript, cURL, ndi Go SDKs. Kuthandizira kwa mafoni a real-time. Kugwiritsa ntchito kwa masamba osiyanasiyana. Webhooks kwa zidziwitso za async.
Funso Lofunsidwa Kawirikawiri
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Start Converting Text kuti Chilankhulo Tsopano
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