AI Tebhu kuenda kuSpeech
Kushandura tenzi kuti zvakasikwa-kutaura ne open-source AI mamodheru. Free kushandisa, hapana account zvinodiwa.
Wrap yako tenzi mu SSML tags kuti zvive nyore kudzora:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Dzvanya pane iyo icon yemufananidzo kuti uwane ruzivo rwakawanda nezvekutumira (kutsigira kwemufananidzo kunosiyana):
Define custom pronunciations (word = pronunciation):
Model Details
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.
| Developer: | KittenML |
| License: | Apache 2.0 |
| _Speed: | Fast |
| Quality: | |
| Zvimwe | 1 language |
| VRAM | 0GB |
| Voice Cloning | Hachisi kutsigirwa |
Zvinhu zvekuita Kuti Uwane Zvakanakira
- Usashandisa zvinyorwa zvemavara zvepakutanga uye zvinotaura
- Kunyora mazita evanhu uye mazita akafupiswa kuti uwane kutaura kwakajeka
- Kuwedzera macommas kuti uite zvikanganiso zvidiki pakati pemashoko
- Usaita elips (...) kuti uwane nguva yakareba yekutamba
- Tarisa Kokoro kana CosyVoice 2 for the most natural results
- Usashandisa Dia kune multi- speaker dialogue uye podcast zvinhu
Kushandiswa kwechiratidzo
| _Kukanganisa | 1K chars |
|---|---|
| Vakasununguka | 1:1 (free) |
| Standard | 2x characters |
| Premium | 4 zvikwereti / 1K zviratidzo |
Maitiro eAI Text to Speech Works
Kugadzira professional-mhando voiceovers mumiviri mitatu nyore matanho. No technical ruzivo zvinodiwa.
Sarudza Tenzi wako
Type, paste, or upload the text you want to convert to speech. Supports up to 5, 000 characters per generation for logged-in users. Use plain text or add SSML tags for advanced control over pronunciation, pauses, and emphasis.
Choose Model & Voice
Choose from 20+ AI models across three tiers.Choose mashoko anoenzana yako zvinhu, sarudza yako chinangwa rurimi, gadzirisa playback speed kubva 0.5x kuti 2.0x, uye sarudza yako yaunofarira output format (MP3, WAV, OGG, kana FLAC).
Dzvanya Kuti Utore
Tinya Kugadzira uye yako audio ichave yagadzirira mumasekondi. Preview neyakaiswa mutambi, bvisa muformat yawakasarudza, kana kopa link inogoverwa. Usashandisa API yebasa rebasa uye kubatanidza munzira yako yekushanda.
Tenzi wezvekutaura
AI-yakagadzirirwa chinyorwa-ku-kutaura iri kuchinja sei vanhu vachishandisa, vachidya, uye vachishanda neaudio masevhisi muzviuru zvemaindasitiri.
All Text to Speech Models
Detailed specifications for every AI model available on TTS.ai. Compare quality, speed, language support, and features to find the perfect model for your project.
Kokoro
Free
Kokoro imhando yemutauro unoshandura maparameter makumi maviri nemana ezviuru kuti uve mashoko, uye inowana kubudirira kwakanyanya kupfuura mamwe mapurojekiti emhando iyi. Pasinei nechidiki chayo, Kokoro inoshandura maparameter makumi maviri nemana ezviuru kuti ive mashoko, uye inogadzira mashoko anotaura zvakajeka. Kokoro inotsigira mitauro mizhinji, kusanganisira Chirungu, ChiJapanese, ChiChinese, neChiKorean, pamwe nemhando dzakasiyana dzemazwi anotaura.
Hexgrad
Apache 2.0
Fast
en, ja, zh, ko, fr, de, it, pt, es, hi, ru
1.5GB
Hapana
Vakasununguka
Piper
Free
Piper idiki, yakajeka, uye yakajeka-kutaura injini yakagadzirwa neRhasspy, iyo inoshandisa VITS uye larynx architectures. Inoshanda zvachose paCPU, ichiita kuti ive yakanaka kune edge devices, home automation, uye maapplication anoda offline TTS. Nekusvika pa100 mazwi mu30+ matauro, Piper inopa zvakajairika zvinonzwa kutaura panguva chaiyo, kunyange paRaspberry 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)
Hapana
Vakasununguka
VITS
Free
VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) imwecheteyo nzira yeTTS inoita kuti mashoko aite seasiri kunyorwa, asi asiri kunyorwa. Inoshandisa variational inference pamwe nekushandura ma flows kuita zvakajairika uye nekuita ma training processes asingatarisirwi, izvo zvinopa mhedzisiro yakanaka mukutaura.
Jaehyeon Kim et al.
MIT
Fast
en, zh, ja, ko
1GB
Hapana
Vakasununguka
MeloTTS
Free
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
en, es, fr, zh, ja, ko
0.5GB (GPU optional)
Hapana
Vakasununguka
Bark
Standard
Bark by Suno ishanduro-yakavakirwa text-to-audio model iyo inogona kuburitsa zvakajeka, zvinotaura mumitauro mizhinji pamwe nevamwe vataura semunyori, mashoko ari mu background, uye ma effects. Bark inokwanisa kuburitsa mameseji asina kutaurwa sekukuvara, kuseka, uye kushaya mwoyo. Bark inobatsira kushandura mameseji kubva mumitauro mizhinji kuita mameseji anokwanisa kutaurwa.
Suno
MIT
Slow
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
5GB
Hapana
2x
Bark Small
Standard
Bark Small idiki ndeye distilled vhezheni yeBark model iyo inotengesa mamwe audio quality yezvakanaka zvakakura zvinokurumidza inference speeds uye zvishoma zvinodiwa zve memory.
Suno
MIT
Medium
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
2GB
Hapana
2x
CosyVoice 2
Standard
CosyVoice 2 neAlibaba's Tongyi Lab inowana hunhu hwekutaura hwakaenzana nemunhu neyepamusoro-yepamusoro latency, zvichiita kuti ive yakanaka kune real-time applications. Inoshandisa yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana-yakaenzana
Alibaba (Tongyi Lab)
Apache 2.0
Medium
en, zh, ja, ko, fr, de, it, es
4GB
_Ndiani
2x
Dia TTS
Standard
Dia by Nari Labs i 1.6B parameter text-to-speech model yakagadzirwa zvakananga kuti iite mavhidhiyo evanhu vakasiyana vachitaura. Inogona kuita kuti mashoko aite seanobva mupfungwa pakati pevanhu vaviri vachitaura pamwe nekuita zvizere zviito, prosody, uye kuratidzwa kwepfungwa. Dia inonyanya kushandiswa mukuumba zvemukati zvepodcast-style, mavhidhiyo ebhuku, uye interaction conversational AI.
Nari Labs
Apache 2.0
Medium
en
4GB
Hapana
2x
Parler TTS
Standard
Parler TTS imhando yemashoko anoshandurwa kuita mashoko iyo inoshandisa mavara emazwi ezvinyorwa kuti iite mashoko anogadzirwa. Pasina kusarudza kubva kune zvakaiswa-pakutanga mavara, iwe unotaura mashoko aunoda (e. g., "murume ane mweya wakachena ane pfungwa dzechiBritain, achitaura zvakaomarara uye zvakajeka") uye Parler inogadzira mashoko anoenzana neaya mavara. Izvi zvinoita kuti zvive zvakasiyana-siyana kune zvinogadzirwa.
Hugging Face
Apache 2.0
Medium
en
4GB
Hapana
2x
GLM-TTS
Standard
GLM-TTS by Zhipu AI i system yekushandura mameseji kuita mashoko yakagadzirwa neLlama architecture ine flow matching.Inowana yakaderera kwazvo mhedzisiro yematambudziko emashoko pakati pezvirongwa zveTTS zvemahara, izvo zvinoreva kuti inogadzira yakanyanya kunyatsojeka kutaura. GLM-TTS inotsigira Chirungu neChiChinese nezvokushandura mashoko kubva pa3-10 sekondi dzemavhidhiyo.
Zhipu AI
GLM-4 License
Medium
en, zh
4GB
_Ndiani
2x
IndexTTS-2
Standard
IndexTTS-2 inyanzvi yekunyora-ku-kutaura system iyo inozivikanwa ne zero-shot voice synthesis ine fin-grained emotion control. Inogona kuburitsa mashoko ane mavara eemotional seanofara, akasvibiswa, akazvininipisa, kana akazvininipisa pasina kukumbira emotion-specific training data. Iyo model inoshandisa emotion vectors kuti iite zvakajeka kudzora kwepfungwa yemashoko akagadzirwa.
Index Team
Bilibili Model License
Medium
en, zh
4GB
_Ndiani
2x
Spark TTS
Standard
Spark TTS by SparkAudio ndeye text-to-speech model iyo inobatanidza voice cloning necontrollable emotion nespeaking style. Kushandisa chete 5 seconds yereference audio, inogona kuklonera muromo uye wobva wagadzira muromo nemhando dzakasiyana dzeemotions, speeds, nestyles uchichengeta muromo wakaklonwa. Spark TTS inoshandisa system yekudzora inoenderana neprompt.
SparkAudio
CC BY-NC-SA 4.0
Medium
en, zh
4GB
_Ndiani
2x
GPT-SoVITS
Standard
GPT-SoVITS inobatanidza GPT-style rurimi kuumbwa ne SoVITS (Singing Voice Inference via Translation and Synthesis) yesimba-shoma-shot rurimi kuumbwa. Nekuti zvishoma se 5 masekondi referenzi audio, inogona zvakakwana kuumbwa rurimi uye kuumba mashoko matsva uye kuchengeta mashoko emunhu anotaura.
RVC-Boss
MIT
Slow
en, zh, ja, ko
6GB
_Ndiani
2x
Orpheus
Standard
Orpheus ndeimwe yemhando dzakawanda dzekushandura mashoko kuita mashoko inoita kuti munhu anzwisise pfungwa dzake. Iine makore anopfuura 100 000 ekuongorora mashoko, Orpheus inokwanisa kushandura mashoko kuita mashoko ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka, ane pfungwa dzakanaka.
Canopy Labs
Llama 3.2 Community
Medium
en
4GB
Hapana
2x
Chatterbox
Premium
Chatterbox by Resemble AI inyanzvi yekugadzira mavhidhiyo emhando yepamusoro. Inogona kushandura chero mashoko kubva kune imwe chete audio sample nechokwadi chakanaka, ichitora kwete chete timbre asiwo mashoko emhando uye emotional nuances. Chatterbox zvakare ine fin-grained emotion control, ichikubvumidza iwe kuti ugadzire emotional tone yemashoko akagadzirwa zvakazvimiririra kubva kune mashoko emunhu.
Resemble AI
MIT
Medium
en
4GB
_Ndiani
4x
Tortoise TTS
Premium
Tortoise TTS i autoregressive multi- voice text- to- speech system iyo inopa kukosha kukuru kune audio quality kupfuura speed. Inoshandisa DALL- E- inspired architecture kuti iite mashoko akafanana neanotaura. Kunyangwe ichiramba ichiomarara kupfuura dzimwe nzira, Tortoise inogadzira mamwe eanonzwisisika kwazvo akagadzirwa mashoko aripo mu open- source ecosystem.
James Betker
Apache 2.0
Slow
en
8GB
_Ndiani
4x
StyleTTS 2
Premium
StyleTTS 2 inowana TTS synthesis yemunhu-level nekubatanidza style diffusion neadversarial training using large speech language models. It generates the most natural sounding speech among single-speaker models, rivaling human recordings. StyleTTS 2 inoshandisa diffusion-based style modeling kuti itore iyo yakazara mhando yevanhu kutaura.
Columbia University
MIT
Medium
en
4GB
Hapana
4x
OpenVoice
Premium
OpenVoice by MyShell.ai inoita kuti zvive nyore kushandura mashoko munguva chaiyo, nekupa kudzora kwakanyanya pamusoro pemhando yemashoko, pfungwa, pfungwa, rythm, paunts, uye intonation. Inogona kushandura mashoko kubva kune imwe chete audio clip uye kuburitsa mashoko mumitauro mizhinji, uye ichichengeta mashoko emunhu anotaura. OpenVoice inoitawo sechishanduri chemashoko, ichibvumira kushandura mashoko munguva chaiyo.
MyShell.ai / MIT
MIT
Medium
en, zh, ja, ko, fr, de, es, it
4GB
_Ndiani
4x
Qwen3 TTS
Standard
Qwen3-TTS i 1.7 bhiriyoni parameter text-to-speech model kubva kuQwen team yeAlibaba. Inoshanda nematanho matatu: preset mazwi neemotion control (9 vanotaura), voice cloning kubva chete 3 masekondi eaudio, uye a unique voice design mode uko iwe unotaura mashoko aunoda mutauro wakajairika.
Alibaba (Qwen)
Apache 2.0
Medium
en, zh, ja, ko, de, fr, ru, pt, es, it
7GB
_Ndiani
2x
Sesame CSM
Premium
Sesame CSM (Conversational Speech Model) imhando ine zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru zviuru
Sesame
Apache 2.0
Slow
en
8GB
Hapana
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
Hapana
Vakasununguka
Kokoro
Vakasununguka
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
Vakasununguka
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
Vakasununguka
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
Vakasununguka
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
Vakasununguka
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
Standard
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
Hapana
Bark Small
Standard
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
Hapana
CosyVoice 2
Standard
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
_Ndiani
Dia TTS
Standard
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
Hapana
Parler TTS
Standard
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
Hapana
GLM-TTS
Standard
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
_Ndiani
IndexTTS-2
Standard
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
_Ndiani
Spark TTS
Standard
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
_Ndiani
GPT-SoVITS
Standard
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
_Ndiani
Orpheus
Standard
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
Hapana
Qwen3 TTS
Standard
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
_Ndiani
Model Kuenzanisa Tafura
| Model | Developer: | _Kukanganisa | Quality: | _Speed: | Zvimwe | Voice Cloning | VRAM | License: | Mutengo | |
|---|---|---|---|---|---|---|---|---|---|---|
| Kokoro | Hexgrad | Free | Fast | 11 | 1.5GB | Apache 2.0 | Vakasununguka | _Use | ||
| Piper | Rhasspy | Free | Fast | 31 | 0 (CPU only) | MIT | Vakasununguka | _Use | ||
| VITS | Jaehyeon Kim et al. | Free | Fast | 4 | 1GB | MIT | Vakasununguka | _Use | ||
| MeloTTS | MyShell.ai | Free | Fast | 6 | 0.5GB (GPU optional) | MIT | Vakasununguka | _Use | ||
| Bark | Suno | Standard | Slow | 13 | 5GB | MIT | 2 | _Use | ||
| Bark Small | Suno | Standard | Medium | 13 | 2GB | MIT | 2 | _Use | ||
| CosyVoice 2 | Alibaba (Tongyi Lab) | Standard | Medium | 8 | 4GB | Apache 2.0 | 2 | _Use | ||
| Dia TTS | Nari Labs | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | _Use | ||
| Parler TTS | Hugging Face | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | _Use | ||
| GLM-TTS | Zhipu AI | Standard | Medium | 2 | 4GB | GLM-4 License | 2 | _Use | ||
| IndexTTS-2 | Index Team | Standard | Medium | 2 | 4GB | Bilibili Model License | 2 | _Use | ||
| Spark TTS | SparkAudio | Standard | Medium | 2 | 4GB | CC BY-NC-SA 4.0 | 2 | _Use | ||
| GPT-SoVITS | RVC-Boss | Standard | Slow | 4 | 6GB | MIT | 2 | _Use | ||
| Orpheus | Canopy Labs | Standard | Medium | 1 | 4GB | Llama 3.2 Community | 2 | _Use | ||
| Chatterbox | Resemble AI | Premium | Medium | 1 | 4GB | MIT | 4 | _Use | ||
| Tortoise TTS | James Betker | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | _Use | ||
| StyleTTS 2 | Columbia University | Premium | Medium | 1 | 4GB | MIT | 4 | _Use | ||
| OpenVoice | MyShell.ai / MIT | Premium | Medium | 8 | 4GB | MIT | 4 | _Use | ||
| Qwen3 TTS | Alibaba (Qwen) | Standard | Medium | 10 | 7GB | Apache 2.0 | 2 | _Use | ||
| Sesame CSM | Sesame | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | _Use | ||
| Kitten TTS | KittenML | Free | Fast | 1 | 0GB | Apache 2.0 | Vakasununguka | _Use |
The Most Kunyatsojeka AI Tenzi kuna Chirungu Platform
Nei uchisarudza TTS.ai yeText to Speech?
TTS.ai inobatanidza nyika yepamusoro-soro open-source text-to-speech mamodheru muimwe, nyore kushandisa platform. Zvisiri pamutemo sevhisi iyo inokumanikidza iwe muimwe voice engine, TTS.ai inokupa iwe kuwana kune 20 + mamodheru kubva kumalaboratories ekutsvaga anosanganisira Coqui, MyShell, Amphion, NVIDIA, Suno, HuggingFace, Tsinghua University, uye zvimwe.
Kana iwe uchida kuburitsa vhidhiyo, TTS.ai ine yakakodzera vhidhiyo yekugadzirisa software. Kana iwe uchida kuburitsa vhidhiyo, TTS.ai ine yakakodzera vhidhiyo yekugadzirisa software. Kana iwe uchida kuburitsa vhidhiyo, TTS.ai ine yakakodzera vhidhiyo yekugadzirisa software. Kana iwe uchida kuburitsa vhidhiyo, TTS.ai ine yakakodzera vhidhiyo yekugadzirisa software.
Free Models, hapana account inodiwa
Get started immediately with three free TTS models: Piper (ultra-fast, lightweight), VITS (high-quality neural synthesis), and MeloTTS (multi-language support). No sign-up, no credit card, no limits on generations. Free models support English and multiple other languages with natural-sounding output suitable for most applications.
GPU- inokurumidza kuongorora
Zvimwe zvirongwa zveTTS zvinoshanda neNVIDIA GPUs kuti zviite kuti zvinyorwa zvive nyore kushandurwa. Zvirongwa zvemahara zvinogadzira mavhidhiyo munguva pfupi kupfuura 2 masekondi. Zvirongwa zvestandard seKokoro, CosyVoice 2, neBark zvinotora nguva inosvika 3-5 masekondi. Zvirongwa zvepremium zvine mhando yepamusoro, seTortoise neChatterbox, zvinogadzira mavhidhiyo munguva inosvika 5-15 masekondi zvichienderana nehurefu hwemapepa.
30+ Zvinhu zvinotsigirwa
Kugadzira mashoko mumitauro 30+ kusanganisira Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu, Chirungu
Developer- Ready API
Kubatanidza TTS.ai mukushandisa kwako neOpenAI-inowirirana REST API. One endpoint for all 20+ models. Python, JavaScript, cURL, uye Go SDKs. Streaming rutsigiro rwereal-time applications. Batch processing for large-scale content generation. Webhooks for async notifications. Available on Pro and Enterprise plans.
Mibvunzo Inobvunzwa Kazhinji
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