AI Text to SpeechName

Kusintha malemba kuti azikhala ndi mawu owoneka bwino ndi mapangidwe a AI otsegulidwa. Osati kuti azigwiritsa ntchito, palibe akaunti yofunikira.

Tilibe mawu a TTS m'chilankhulo chanu. Tikuthandizeni kuwonjezera anu! Kugulitsa mawu anu
0/500 maonekedwe
Kulembetsa for 5,000 characters limit

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):

-12 +12
0.5x 2.0x
Free ndi Piper, VITS, MeloTTS
Audio yanu yopangidwa idzawonekera pano. Sankhani mtundu, lemba mawu, ndipo dinani Kupanga.
Audio Yapangidwa Mofulumira
0:00 0:00
Pangani Audio Kugwirizana kumatha mu 24h
Mumakonda TTS.ai? udzauza anzanu!

Model Deta

Kitten TTS

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.

Wopanga: KittenML
License: Apache 2.0
Mphamvu Fast
Ubwino:
Madera 1 Chilankhulo
VRAM 0GB
Chizindikiro cha mawu Siyithandizidwa
Zosankha:
CPU-only inference Under 80MB model size 8 built-in voices Speed control ONNX-based 24kHz output
Oyenera kwa:: Fast lightweight TTS, edge deployment, low-latency applications

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.

Gawo 1

Ikani mawu anu

Kusintha kwa mawu

Gawo 2

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).

Gawo 3

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.

KokoroKokoro

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.

Wopanga::
Hexgrad
License::
Apache 2.0
Mphamvu:
Fast
Ubwino::
Madera:
en, ja, zh, ko, fr, de, it, pt, es, hi, ru
VRAM:
1.5GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
_Yaulere
82M ma parameters Mofulumira kwambiri Maganizo owoneka bwino Chilankhulo chosiyanasiyana Streaming thandizo
Oyenera kwa:: High-quality TTS ndi latency zochepa, streaming mapulogalamu

PiperPiper

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.

Wopanga::
Rhasspy
License::
MIT
Mphamvu:
Fast
Ubwino::
Madera:
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
VRAM:
0 (CPU only)
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
_Yaulere
CPU-friendly Opanda zingwe zogwirizana 100 + mawu 30 + zilankhulo Kuthandizira SSML
Oyenera kwa:: Kuwonetsa mofulumira, kupezeka, ndi mapulogalamu ophatikizidwa

VITSVITS

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.

Wopanga::
Jaehyeon Kim et al.
License::
MIT
Mphamvu:
Fast
Ubwino::
Madera:
en, zh, ja, ko
VRAM:
1GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
_Yaulere
End-to-end synthesization Malemba a m'Baibulo Fast kumvetsa Okamba ambiri
Oyenera kwa:: Text-to-speech yogwiritsa ntchito nthawi zonse ndi prosody yachilengedwe

MeloTTSMeloTTS

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.

Wopanga::
MyShell.ai
License::
MIT
Mphamvu:
Fast
Ubwino::
Madera:
en, es, fr, zh, ja, ko
VRAM:
0.5GB (GPU optional)
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
_Yaulere
CPU-optimized Mabungwe Malemba ambiri Kutulutsa-kuthamanga Low latency
Oyenera kwa:: Ntchito zopanga zomwe zimafunikira TTS yofulumira komanso yosiyanasiyana

BarkBark

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.

Wopanga::
Suno
License::
MIT
Mphamvu:
Slow
Ubwino::
Madera:
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
VRAM:
5GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
2x
Zotsatira za mawu Kucheka / kupweteka Music chitukuko 100 + olankhula Chilankhulo chosiyanasiyana
Oyenera kwa:: Creative audio zinthu, audiobooks ndi chisoni, zotsatira za mawu

Bark SmallBark 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.

Wopanga::
Suno
License::
MIT
Mphamvu:
Medium
Ubwino::
Madera:
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
VRAM:
2GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
2x
Lightweight Mofulumira kuposa Full Bark Chilankhulo cha Emotional Chilankhulo chosiyanasiyana
Oyenera kwa:: Quick creative audio pamene wonse Bark ndi mofulumira kwambiri

CosyVoice 2CosyVoice 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.

Wopanga::
Alibaba (Tongyi Lab)
License::
Apache 2.0
Mphamvu:
Medium
Ubwino::
Madera:
en, zh, ja, ko, fr, de, it, es
VRAM:
4GB
Chizindikiro cha mawu:
Yes
Mtengo pa 1K chars:
2x
Mtsinje Zero-shot cloning Cross-lingual Kuwongolera maganizo Human-parity
Oyenera kwa:: Mapulogalamu a real-time, streaming TTS, othandizira mawu

Dia TTSDia 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.

Wopanga::
Nari Labs
License::
Apache 2.0
Mphamvu:
Medium
Ubwino::
Madera:
en
VRAM:
4GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
2x
Wolankhula ambiri Kukhazikitsa kwa dialog Kusinthasintha kwachilengedwe Kusonyeza maganizo 1.6B Parameters
Oyenera kwa:: Podcasts, maudindo a audiobook, masamba olankhula

Parler TTSParler 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.

Wopanga::
Hugging Face
License::
Apache 2.0
Mphamvu:
Medium
Ubwino::
Madera:
en
VRAM:
4GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
2x
Kufotokozera kwa mawu Chilankhulo chachilengedwe kuwongolera Kulenga mawu osinthika Sizikufunikira mawu osankhidwa kale
Oyenera kwa:: Creative mapulogalamu pamene muyenera makonda mawu characteristics

GLM-TTSGLM-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.

Wopanga::
Zhipu AI
License::
GLM-4 License
Mphamvu:
Medium
Ubwino::
Madera:
en, zh
VRAM:
4GB
Chizindikiro cha mawu:
Yes
Mtengo pa 1K chars:
2x
Lowest kulephera mtengo Chizindikiro cha mawu Flow kugwirizana Malemba a m'Baibulo
Oyenera kwa:: Mapulogalamu omwe amafuna kutanthauzira kwabwino kwambiri

IndexTTS-2IndexTTS-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.

Wopanga::
Index Team
License::
Bilibili Model License
Mphamvu:
Medium
Ubwino::
Madera:
en, zh
VRAM:
4GB
Chizindikiro cha mawu:
Yes
Mtengo pa 1K chars:
2x
Kuwongolera maganizo Zero-shot Emotion vector Chilankhulo cha Expressive Fine-grained kuwongolera
Oyenera kwa:: Zolemba zowoneka bwino, mabuku a audio, othandizira osinthika

Spark TTSSpark 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.

Wopanga::
SparkAudio
License::
CC BY-NC-SA 4.0
Mphamvu:
Medium
Ubwino::
Madera:
en, zh
VRAM:
4GB
Chizindikiro cha mawu:
Yes
Mtengo pa 1K chars:
2x
Kusintha kwa mawu Kuwongolera maganizo Kuwongolera kwa mtundu Kuchokera pa lamulo 5-second cloning
Oyenera kwa:: Kukhazikitsa masamba ndi mawu osinthidwa ndi kuwongolera maganizo

GPT-SoVITSGPT-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.

Wopanga::
RVC-Boss
License::
MIT
Mphamvu:
Slow
Ubwino::
Madera:
en, zh, ja, ko
VRAM:
6GB
Chizindikiro cha mawu:
Yes
Mtengo pa 1K chars:
2x
5-second cloning Kuimba mawu Kuphunzira kwa ma shots ochepa High fidelity Cross-lingual
Oyenera kwa:: Kusintha kwa mawu, kuyimba kwa synthesizer, kubwezeretsa mawu kwa wopanga masamba

OrpheusOrpheus

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.

Wopanga::
Canopy Labs
License::
Llama 3.2 Community
Mphamvu:
Medium
Ubwino::
Madera:
en
VRAM:
4GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
2x
Human-level emotion 100K maola ophunzitsa Mphatso yachilengedwe Chilankhulo cha Expressive
Oyenera kwa:: Chilankhulo chabwino chachikhalidwe, audiobooks, kusewera mawu

ChatterboxChatterbox

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.

Wopanga::
Resemble AI
License::
MIT
Mphamvu:
Medium
Ubwino::
Madera:
en
VRAM:
4GB
Chizindikiro cha mawu:
Yes
Mtengo pa 1K chars:
4x
Kusintha kwa zero-shot Kuwongolera maganizo High fidelity Kusintha kwa mtundu Chizindikiro chokha cha cloning
Oyenera kwa:: Professional voice cloning ndi kuwongolera kwachisoni, kulenga zinthu

Tortoise TTSTortoise 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.

Wopanga::
James Betker
License::
Apache 2.0
Mphamvu:
Slow
Ubwino::
Madera:
en
VRAM:
8GB
Chizindikiro cha mawu:
Yes
Mtengo pa 1K chars:
4x
Ubwino wabwino kwambiri Maganizo ambiri DALL-E chikhalidwe Kusintha kwa mawu Kusintha kwachidule
Oyenera kwa:: Audiobooks, premium zinthu, quality-pyamba mapulogalamu

StyleTTS 2StyleTTS 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.

Wopanga::
Columbia University
License::
MIT
Mphamvu:
Medium
Ubwino::
Madera:
en
VRAM:
4GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
4x
Mtundu wa munthu Kufalitsa kwa mtundu Maphunziro otsutsana Zosintha zachilengedwe High fidelity
Oyenera kwa:: Studio-quality single-speaker synthesization, wolemba wodziwa bwino

OpenVoiceOpenVoice

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.

Wopanga::
MyShell.ai / MIT
License::
MIT
Mphamvu:
Medium
Ubwino::
Madera:
en, zh, ja, ko, fr, de, es, it
VRAM:
4GB
Chizindikiro cha mawu:
Yes
Mtengo pa 1K chars:
4x
Chipangizo 3: Kusintha kwa mawu Kuwongolera maganizo Kuwongolera kwa Accent Chilankhulo chosiyanasiyana
Oyenera kwa:: Kusintha kwa mawu ndi kuwongolera kwa mtundu wamtundu wamtundu, kusinthidwa kwa mawu

Qwen3 TTSQwen3 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.

Wopanga::
Alibaba (Qwen)
License::
Apache 2.0
Mphamvu:
Medium
Ubwino::
Madera:
en, zh, ja, ko, de, fr, ru, pt, es, it
VRAM:
7GB
Chizindikiro cha mawu:
Yes
Mtengo pa 1K chars:
2x
Kusintha kwa mawu 9 preset mawu Kujambula mawu kuchokera pamutu Kuwongolera maganizo Zilankhulo 10
Oyenera kwa:: Zolemba zachilankhulo chambiri ndi kujambula mawu kapena kujambula mawu osiyanasiyana

Sesame CSMSesame 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.

Wopanga::
Sesame
License::
Apache 2.0
Mphamvu:
Slow
Ubwino::
Madera:
en
VRAM:
8GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
4x
Chilankhulo Timing yachilengedwe Kusinthasintha Backchannel 1B Parameters
Oyenera kwa:: Othandizira a AI, chatbots, mapulogalamu a AI olankhula

Kitten TTSKitten 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.

Wopanga::
KittenML
License::
Apache 2.0
Mphamvu:
Fast
Ubwino::
Madera:
en
VRAM:
0GB
Chizindikiro cha mawu:
Palibe
Mtengo pa 1K chars:
_Yaulere
CPU-only inference Under 80MB model size 8 built-in voices Speed control ONNX-based 24kHz output
Oyenera kwa:: Fast lightweight TTS, edge deployment, low-latency applications

KokoroKokoro

_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.

Wopanga::
Hexgrad
License::
Apache 2.0
Mphamvu:
Fast
Ubwino::
Madera: en, ja, zh, ko, fr, de, it, pt, es, hi, ru
Oyenera kwa:: High-quality TTS with minimal latency, streaming applications

PiperPiper

_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.

Wopanga::
Rhasspy
License::
MIT
Mphamvu:
Fast
Ubwino::
Madera: 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
Oyenera kwa:: Quick previews, accessibility, and embedded applications

VITSVITS

_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.

Wopanga::
Jaehyeon Kim et al.
License::
MIT
Mphamvu:
Fast
Ubwino::
Madera: en, zh, ja, ko
Oyenera kwa:: General-purpose text-to-speech with natural prosody

MeloTTSMeloTTS

_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.

Wopanga::
MyShell.ai
License::
MIT
Mphamvu:
Fast
Ubwino::
Madera: en, es, fr, zh, ja, ko
Oyenera kwa:: Production applications needing fast, multilingual TTS

Kitten TTSKitten 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.

Wopanga::
KittenML
License::
Apache 2.0
Mphamvu:
Fast
Ubwino::
Madera: en
Oyenera kwa:: Fast lightweight TTS, edge deployment, low-latency applications

BarkBark

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.

Wopanga::
Suno
License::
MIT
Mphamvu:
Slow
Ubwino::
Madera:
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
Chizindikiro cha mawu:
Palibe
Sound effectsLaughing/sighingMusic generation100+ speakersMultilingual
Oyenera kwa:: Creative audio content, audiobooks with emotion, sound effects

Bark SmallBark 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.

Wopanga::
Suno
License::
MIT
Mphamvu:
Medium
Ubwino::
Madera:
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
Chizindikiro cha mawu:
Palibe
LightweightFaster than full BarkEmotional speechMultilingual
Oyenera kwa:: Quick creative audio when full Bark is too slow

CosyVoice 2CosyVoice 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.

Wopanga::
Alibaba (Tongyi Lab)
License::
Apache 2.0
Mphamvu:
Medium
Ubwino::
Madera:
en, zh, ja, ko, fr, de, it, es
Chizindikiro cha mawu:
Yes
StreamingZero-shot cloningCross-lingualEmotion controlHuman-parity
Oyenera kwa:: Real-time applications, streaming TTS, voice assistants

Dia TTSDia 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.

Wopanga::
Nari Labs
License::
Apache 2.0
Mphamvu:
Medium
Ubwino::
Madera:
en
Chizindikiro cha mawu:
Palibe
Multi-speakerDialog generationNatural turn-takingEmotional expression1.6B parameters
Oyenera kwa:: Podcasts, audiobook dialogues, conversational content

Parler TTSParler 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.

Wopanga::
Hugging Face
License::
Apache 2.0
Mphamvu:
Medium
Ubwino::
Madera:
en
Chizindikiro cha mawu:
Palibe
Voice descriptionNatural language controlFlexible voice creationNo preset voices needed
Oyenera kwa:: Creative applications where you need custom voice characteristics

GLM-TTSGLM-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.

Wopanga::
Zhipu AI
License::
GLM-4 License
Mphamvu:
Medium
Ubwino::
Madera:
en, zh
Chizindikiro cha mawu:
Yes
Lowest error rateVoice cloningFlow matchingNatural prosody
Oyenera kwa:: Applications requiring maximum pronunciation accuracy

IndexTTS-2IndexTTS-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.

Wopanga::
Index Team
License::
Bilibili Model License
Mphamvu:
Medium
Ubwino::
Madera:
en, zh
Chizindikiro cha mawu:
Yes
Emotion controlZero-shotEmotion vectorsExpressive speechFine-grained control
Oyenera kwa:: Emotionally expressive content, audiobooks, virtual assistants

Spark TTSSpark 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.

Wopanga::
SparkAudio
License::
CC BY-NC-SA 4.0
Mphamvu:
Medium
Ubwino::
Madera:
en, zh
Chizindikiro cha mawu:
Yes
Voice cloningEmotion controlStyle controlPrompt-based5-second cloning
Oyenera kwa:: Content creation with cloned voices and emotional control

GPT-SoVITSGPT-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.

Wopanga::
RVC-Boss
License::
MIT
Mphamvu:
Slow
Ubwino::
Madera:
en, zh, ja, ko
Chizindikiro cha mawu:
Yes
5-second cloningSinging voiceFew-shot learningHigh fidelityCross-lingual
Oyenera kwa:: Voice cloning, singing synthesis, content creator voice replication

OrpheusOrpheus

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.

Wopanga::
Canopy Labs
License::
Llama 3.2 Community
Mphamvu:
Medium
Ubwino::
Madera:
en
Chizindikiro cha mawu:
Palibe
Human-level emotion100K hours trainingNatural emphasisExpressive speech
Oyenera kwa:: High-quality emotional speech, audiobooks, voice acting

Qwen3 TTSQwen3 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.

Wopanga::
Alibaba (Qwen)
License::
Apache 2.0
Mphamvu:
Medium
Ubwino::
Madera:
en, zh, ja, ko, de, fr, ru, pt, es, it
Chizindikiro cha mawu:
Yes
Voice cloning9 preset voicesVoice design from textEmotion control10 languages
Oyenera kwa:: Multilingual content with voice cloning or custom voice design

ChatterboxChatterbox

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.

Wopanga::
Resemble AI
License::
MIT
Mphamvu:
Medium
Ubwino::
Madera:
en
Chizindikiro cha mawu:
Yes
VRAM:
4GB
Mtengo pa 1K chars:
4x
Zero-shot cloningEmotion controlHigh fidelityStyle transferSingle sample cloning
Oyenera kwa:: Professional voice cloning with emotional control, content creation

Tortoise TTSTortoise TTS

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.

Wopanga::
James Betker
License::
Apache 2.0
Mphamvu:
Slow
Ubwino::
Madera:
en
Chizindikiro cha mawu:
Yes
VRAM:
8GB
Mtengo pa 1K chars:
4x
Highest qualityMulti-voiceDALL-E architectureVoice cloningAutoregressive
Oyenera kwa:: Audiobooks, premium content, quality-first applications

StyleTTS 2StyleTTS 2

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.

Wopanga::
Columbia University
License::
MIT
Mphamvu:
Medium
Ubwino::
Madera:
en
Chizindikiro cha mawu:
Palibe
VRAM:
4GB
Mtengo pa 1K chars:
4x
Human-levelStyle diffusionAdversarial trainingNatural variationHigh fidelity
Oyenera kwa:: Studio-quality single-speaker synthesis, professional narration

OpenVoiceOpenVoice

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.

Wopanga::
MyShell.ai / MIT
License::
MIT
Mphamvu:
Medium
Ubwino::
Madera:
en, zh, ja, ko, fr, de, es, it
Chizindikiro cha mawu:
Yes
VRAM:
4GB
Mtengo pa 1K chars:
4x
Instant cloningVoice conversionEmotion controlAccent controlMultilingual
Oyenera kwa:: Voice cloning with fine-grained style control, voice conversion

Sesame CSMSesame CSM

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.

Wopanga::
Sesame
License::
Apache 2.0
Mphamvu:
Slow
Ubwino::
Madera:
en
Chizindikiro cha mawu:
Palibe
VRAM:
8GB
Mtengo pa 1K chars:
4x
ConversationalNatural timingTurn-takingBackchannel1B parameters
Oyenera kwa:: AI assistants, chatbots, conversational AI applications

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

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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

Text to Speech (TTS) ndi ukadaulo wa AI womwe umasintha malemba a m’mawu owoneka bwino. Ma TTS amakono monga Kokoro, Chatterbox, ndi CosyVoice 2 amagwiritsa ntchito kuphunzira pang’onopang’ono kuti apange mawu omwe amawoneka ngati a munthu, ndi mawu owoneka bwino, maganizo, ndi rythm.

Kutengera zosowa zanu. Kuti muwone bwinobwino,gwiritsani ntchito Piper kapena MeloTTS (zaulere, zamphamvu). Kuti mudziwe bwinobwino,gwiritsani ntchito Kokoro kapena CosyVoice 2 (zoyenera). Kuti mupange mawu,gwiritsani ntchito Chatterbox kapena GPT-SoVITS (zowonjezera). Kuti mupange mauthenga/podcast,gwiritsani ntchito Dia TTS. Mtundu uliwonse uli ndi mphamvu zake — gwiritsani ntchito kuti mudziwe zomwe zikugwirizana bwino.

Yes! TTS.ai imapereka ntchito yosintha mawu kukhala mawu mwaulere ndi mafoni a Kokoro, Piper, VITS, ndi MeloTTS. Simufunika kukhala ndi akaunti kuti mugwiritse ntchito ntchitoyi mpaka maonekedwe 500 ndi maonekedwe 3 pa ola.

Mtundu wathu wa TTS umagwirizana ndi 30+ zilankhulo kuphatikizapo Chisipanishi, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani, Chijeremani,

Yai, mawu opangidwa ndi TTS.ai angagwiritsidwe ntchito pogulitsa. Zolemba zathu zonse zimagwiritsa ntchito zilolezo za open source (MIT, Apache 2.0). Sankhani chilolezo cha mtundu uliwonse kuti mudziwe mfundo zake. Tikukulimbikitsani kuti mufufuze chilolezo cha mtundu uliwonse womwe mumagwiritsa ntchito pa projekiti yanu.

TTS.ai amathandiza MP3, WAV, OGG, ndi FLAC zosiyanasiyana zosiyanasiyana. MP3 ndi default kwa web playback. WAV ndi woyenera kwa kuyankha zina. Mukhoza kusintha pakati pa mavidiyo ndi kugwiritsa ntchito Audio Converter chida.

Voice cloning imagwiritsa ntchito AI kuti ibwezeretse mawu ofunikira kuchokera ku sample ya audio yochepa (mwachitsanzo, 5-30 masekondi). Lowani kujambula kosavuta kwa mawu ofunikira, ndipo mamodeli monga Chatterbox, GPT-SoVITS, kapena OpenVoice adzapanga mawu atsopano m'chilankhulocho.

Ogwiritsa ntchito aulere amatha kupanga mpaka 500 characters per request. Ogwiritsa ntchito olembetsedwa amatha kupanga mpaka 5,000 characters per request. Kwa malemba ochepa, audio imapangidwa m'mabuku ndi kuphatikizidwa mwamsanga. Ogwiritsa ntchito API amatha kupanga mpaka 10,000 characters per request.

Kuthandizira kwa SSML (Speech Synthesis Markup Language) kumasiyana malinga ndi mtundu wa foni. Piper ndi zina mwa foni zina zimathandizira ma tag a SSML ofunikira poyang'anira nthawi yoletsa, kufotokoza, ndi kulankhula. Pafoni zopanda kuthandizira kwa SSML, mutha kugwiritsa ntchito ma ponografia achilengedwe ndi kugwa kwa ma line kuti muchepetse kusokonezeka kwa mawu.

Inde, ambiri mamodeli amathandizira kusintha kwa mayendedwe kuchokera ku 0.5x kupita ku 2.0x. Mayendedwe ena monga Bark ndi Parler amalolanso kuwongolera kwa pitch ndi style. Mutha kukhazikitsa magwiridwe antchito a magwiridwe antchito m'malo opitilira muyeso kapena pogwiritsa ntchito magwiridwe antchito a API.

Yai, kusonkhanitsa ndi kusonkhanitsa kumapezeka kudzera pa API yathu. Mukhoza kutumiza masamba ambiri a malemba m'malo amodzi a API kapena script, ndipo aliyense adzathamangitsidwa ndi kubwezeredwa ngati mafayilo osiyana a audio. Izi ndi zabwino kwambiri kwa zigawo za audiobook, ma modules a e-kuphunzira, kapena ma scripts a macheza a masewera.

Ikani chida cha API kuchokera pa dashboard ya akaunti yanu, kenako ikani mapemphero a POST ku REST API endpoint yathu ndi masamba anu, ma parameters a model ndi mawu. Timapereka zitsanzo za code mu Python, JavaScript, ndi cURL. API ndi yogwirizana ndi OpenAI, kotero kuphatikizidwa komwe kulipo kumagwira ntchito ndi zosintha zochepa.
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