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AI Text to Speech

Kpọgharịa ngwe ka ọbụla-anụ-anụ na-eji open-source AI models. Free iji jiri, enweghị akaụntụ chọrọ.

Akaụntụ
Anyị enweghị ụda TTS n'asụsụ gị kemgbe. Meekwa ka anyị tinye gị! Kpọnye ụda gị
0/500 Ụdị
Akaụntụ maka 5,000 akara oghe

Kpọchie ngwe gị n'ime SSML táàbụ̀ maka nlekọta ziri ezi:

<speak><prosody rate="slow">Slow speech</prosody></speak>

Tinye ihenhọrọiheomume maka imetụta mbipụta (nnyemaka móòdù dị iche iche):

Ndesịta okwu emeredịkachọrọ:

-12 +12
0.5x 2.0x
Free na Piper, VITS, MeloTTS
Ọdịdị gị ga-egosipụta ebe a. Họrọ móòdù, tinye ngwe, ma pịa Kewapụta.
Ọdịdị a mepụtala nke ọma
0:00 0:00
Bubata ụda Ndesịta njikọ ahụ ga-agwụ n'ime 24h
Dị ka TTS.ai? Kpọtụrụ ndị enyi gị!

Ndesịta ozi ndị ahụ

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.

Debanye aha: KittenML
Ikikere: Apache 2.0
Nhazi Fast
Nhazi:
Asụsụ 1 Asụsụ
VRAM 0GB
Klọnsị ụda Enweghị nkwado
Nkarachọ:
CPU-only inference Under 80MB model size 8 built-in voices Speed control ONNX-based 24kHz output
Ọkachasị maka:: Fast lightweight TTS, edge deployment, low-latency applications

Ndụmọdụ maka nsonaazụ ka mma

  • Jiri akara ngosi ihe nkesa maka nkwụsịtụ na ntụgharị
  • Nkọwapụta mkpụrụokwu na nkwụsịtụ maka nsụgharị n'ụzọ doro anya
  • Tinye commas ka ịmepụta nkwụsịtụ n'etiti okwu
  • Jiri ellipses (...) maka nkwụsịtụ dị ogologo
  • Jiri Kokoro mọọbụ CosyVoice 2 maka nsonaazụ ndị kasị nkịtị
  • Jiri Dia maka multi-speaker dialog nakwa ihenhọrọ nke podcast

Ọrụ akara

_Nhazi Ọnụahịa maka 1K akara
Ọfụụ 1:1 (free)
Dìfọ̀ltụ̀ 2x akara
Premium 4x akara
Wepụta akara ndị ọzọ

Otu esi emegharị ngwe AI ka ọ bụrụ okwu

Kewapụta profaịlụ-ọfụụ ụdaolu n'ime nzọụkwụ atọ dị mfe. Enweghị nghọta nkà na ụzụ chọrọ.

Nzọụkwụ 1

Tinye ngwe gị

Tinye, pịa, mọọbụ bulie ngwe ịchọrọ ịgbanwee ka ọsụsọ. Na-akwado ruo 5,000 akara n'otu nsụgharị maka ndị ọrụ ahụ banye. Jiri ngwe dị mfe mọọbụ tinye SSML táàbụ̀ maka nlekọta n'elu ngwe, nkwụsị, nakwa n'ịkọwa.

Nzọụkwụ 2

Họrọ ụda na móòdù

Họrọ site na 20+ AI models n'elu tiers atọ. Họrọ olu nke na-adaba na ọdịnaya gị, họrọ asụsụ n'okporo ụzọ gị, gbanwee ọsọ ntụgharị site na 0.5x ruo 2.0x, na họrọ ihe nchọgharị gị (MP3, WAV, OGG, ma ọ bụ FLAC).

Nzọụkwụ 3

Bubata

Pịa Bipụta na ụda gị ga-adị njikere n'ime sekọnd. Preview na onyena-egwuregwu emeredịkachọrọ, budata n'ụdị a họọrọ gị, mọọbụ debata njikọ a ga-ekewapụta. Jiri API maka usoroiheomume batch nakwa iji ya n'ime usoroiheomume gị.

Ọdịnaya ojieme ngwe ka okwu

AI-powered text-to-speech na-agbanwe ụzọ ndị mmadụ si emepụta, jiri, na arụkọ ọrụ ọnụ na ọdịnaya ụda n'ime ọtụtụ ụlọ ọrụ.

Akwụkwọ ụda

Kpọgharịa akwụkwọ niile n'ime akwụkwọ ọbụla na-edebe n'ime na-akọwapụta nke ọma. Nnyemaka ndịna-ekwuo okwu na Dia maka dayalọọgụ akara.

Vidéọ̀wù

Kewaa ndị ọkachamara na-ekwu okwu maka YouTube, TikTok, Instagram Reels, na Shorts. 100+ ụda ma ọ bụ mepụta onwe gị.

Podcasts

Kewapụta podcast episodes site n'isiokwu na ụda AI dịgasị iche iche. Jiri Dia maka mkparịta ụka ndị na-ekwu okwu abụọ.

Egwuregwu

AI ụda na-arụ ọrụ maka indie egwuregwu, nsụgharị n'anya, na nsụgharị na-arụ ọrụ. NPC dialog, ụda cutscene, 30+ asụsụ.

E-Learning

Kpọgharịa ihenhọrọ n'ime kọlesịa, nkuzi, nakwa ihenhọrọ nkuzi n'ime ụda. Nnyemaka asụsụ-ọtụtụ maka nsụgharị ụwa.

Nnweta

Mee ka weebụsaịtị, dọkumenti, nakwa usoroiheomume dị n'ọrụ. Onyemgbasa ihuenyo API mmekọ na ntụgharị isiokwu-na-aịkọn.

IVR na sistemụ ekwentị

Power IVR sistemụ, ekwentị menus, na ọrụ ndị ahịa na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na-na

Social Media

TikTok na-ekwu okwu, Instagram Reels, Twitter / X commentary, YouTube Shorts. Ọzụzụ ngwa ngwa na ụdị n'efu.

Mgbasaozi

Twitch TTS alerts, chat-to-voice, AI co-hosts, na Discord bots. Latency dị ala, 100+ ụda, StreamElements dịkwa n'otu.

Marketing

Ad voiceovers, explainer videos, ngwaahịa demos, na ahịa ngosipụta. Scale audio ọdịnaya mmepụta n'elu campaigns.

Dọbbingụ na mpaghara ebe

Gbanwee na tụgharịa vidiyo na asụsụ 30+ na AI nke na-adabere na olu. Auto-transcription na onye na-ekwu okwu na-ahụ.

Meditation & Wellness

Ndụmọdụ ntụgharị uche, akụkọ ụra, mmega ahụ, na affirmations na-adịgide, ụda AI na-atọ ụtọ.
Gosi ihenhọrọ ndị ahụ niile

Nhazi ngwe niile na-atụgharị n'okwu

Nkọwapụta zuru ezu maka ụdị AI ọ bụla dị na TTS.ai. Tụnyere arụmọrụ, ọsọ, nkwado asụsụ, na atụmatụ iji chọpụta ụdị zuru oke maka ọrụ gị.

KokoroKokoro

Free

Kokoro bụ 82 nde parameters ngwe-na-asị model nke punches mma n'elu ya weightclass. N'agbanyeghị ya obere size, ọ na-emepụta na-asị na-asị na-asị. Kokoro na-akwado asụsụ ndị ọzọ gụnyere English, Japanese, Chinese, na Korean na ụdị okwu ndị ọzọ. Ọ na-arụ ọrụ n'ụzọ dị mfe - na-emepụta ụda dị ka 100x n'ụzọ dị mfe karịa oge n'oge na GPU.

Debanye aha::
Hexgrad
Ikikere::
Apache 2.0
Nhazi:
Fast
Nhazi::
Asụsụ:
en, ja, zh, ko, fr, de, it, pt, es, hi, ru
VRAM:
1.5GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
Ọfụụ
82M paramita Ónyénwē Ụda ndị na-akọwa Asụsụ ndị ọzọ Nnyemaka nbudata
Ọkachasị maka:: TTS nke dị elu n'ụdị na-abaghị uru, usoroiheomume nbudata
Chọ̀ọ́ Kokoro

PiperPiper

Free

Piper bụ engine ngwe-na-asụsụ na-asụgharị nke Rhasspy na-eji VITS na larynx architectures. Ọ na-arụ ọrụ nke ọma na CPU, na-eme ka ọ dị mma maka ngwaọrụ edge, ụlọ ọrụ na-arụ ọrụ, na ngwa ọrụ chọrọ TTS na-enweghị njikọ. Na okwu 100 n'elu asụsụ 30 +, Piper na-enye okwu na-asụgharị na-asụgharị na-asụgharị na-asụgharị na Raspberry Pi 4.

Debanye aha::
Rhasspy
Ikikere::
MIT
Nhazi:
Fast
Nhazi::
Asụsụ:
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)
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
Ọfụụ
CPU-friendly Òfè 100+ ụda Asụsụ 30 Nnyemaka SSML
Ọkachasị maka:: Nlebiritụanya nkịtị, ikikembanye, nakwa usoroiheomume embedded
Chọ̀ọ́ Piper

VITSVITS

Free

VITS (Variational Inference na-amụ ihe na-abịanụ maka ngwụcha-na-abịanụ Text-to-Speech) bụ ụzọ TTS na-abịanụ na-abịanụ nke na-emepụta ụda dị mma karịa ụdị abụọ nke ugbu a. Ọ na-ahọrọ ntụgharị dị iche iche na-agbakwunye na ntụgharị na usoro nkuzi na-abịanụ, na-enwetakwa mmelite dị mkpa na nghọta.

Debanye aha::
Jaehyeon Kim et al.
Ikikere::
MIT
Nhazi:
Fast
Nhazi::
Asụsụ:
en, zh, ja, ko
VRAM:
1GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
Ọfụụ
Nhazi nkenke Nhazi ụghasị Nkọwa n'ụzọ nkịtị Ndịna ndịna
Ọkachasị maka:: General-purpose text-to-speech na natural prosody
Chọ̀ọ́ VITS

MeloTTSMeloTTS

Free

MeloTTS site na MyShell.ai bụ TTS multilingual library na-akwado English (American, British, Indian, Australian), Spanish, French, Chinese, Japanese, na Korean. Ọ dị ngwa ngwa, na-arụ ọrụ ngwe na-adịgide adịgide na CPU naanị. MeloTTS ejirila maka iji mmepụta na-akwado CPU na GPU inference.

Debanye aha::
MyShell.ai
Ikikere::
MIT
Nhazi:
Fast
Nhazi::
Asụsụ:
en, es, fr, zh, ja, ko
VRAM:
0.5GB (GPU optional)
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
Ọfụụ
CPU-ónyénwē Asụsụ ndị ọzọ Asụsụ ndị ọzọ Nhazi-nhazi Latentị ala
Ọkachasị maka:: Usoroiheomume mmepe na-achọ ngwa ngwa, TTS n'asụsụ dị iche iche
Chọ̀ọ́ MeloTTS

BarkBark

Standard

Bark site na Suno bụ a transformer-based ngwe-na-audio model nke nwere ike ịmepụta dị elu-realistic, multilingual okwu dị kakwa ndị ọzọ audio dị ka music, n'okpuru ụda, na ụda mmetụta. Ọ nwere ike ịmepụta nonverbal nkwukọrịta dị ka na-eche, na-asị, na-asị. Bark na-akwado karịa 100 speaker presets na 13+ asụsụ.

Debanye aha::
Suno
Ikikere::
MIT
Nhazi:
Slow
Nhazi::
Asụsụ:
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
VRAM:
5GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
2x
Nsonaazụ ụda Na-anụ ọkụ n'obi/na-asị ụjọ Kewapụta egwu 100+ speakers Asụsụ ndị ọzọ
Ọkachasị maka:: Creative audio content, audiobooks na emotions, sound effects
Chọ̀ọ́ Bark

Bark SmallBark Small

Standard

Bark Small bụ ụdị distilled nke Bark model nke na-echekwa ụfọdụ ụda maka ọsọ ọsọ inference dị n'elu nakwa ihenhọrọ n'ime n'ime. Ọ na-echekwa ike Bark nke ịmepụta okwu na-eji mmetụta, ịnụ ọkụ n'obi, na asụsụ ndị ọzọ.

Debanye aha::
Suno
Ikikere::
MIT
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
VRAM:
2GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
2x
Nnukwuogbe N'ụzọ nkịtị Asụsụ na-atọ ụtọ Asụsụ ndị ọzọ
Ọkachasị maka:: Nhazi ụda n'ụzọ nkịtị mgbe ọbụla ọbụla Bark dị n'okpuru
Chọ̀ọ́ Bark Small

CosyVoice 2CosyVoice 2

Standard

CosyVoice 2 site na Tongyi Lab nke Alibaba na-eme ka ọ bụrụ ihe dị mma maka ngwa ọrụ oge dị n'ezie. Ọ na-eji ụzọ dị n'ime nke dị n'ime maka ntụgharị okwu na-aga n'ihu na-akwado ịkọ okwu nke enweghị ntụgharị, ntụgharị asụsụ ntụgharị, na nchịkwa mmetụta uche nke dị n'ime. Ọ na-eme ka ọtụtụ usoro TTS dị n'ime nghọta.

Debanye aha::
Alibaba (Tongyi Lab)
Ikikere::
Apache 2.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh, ja, ko, fr, de, it, es
VRAM:
4GB
Klọnsị ụda:
Ee
Ọnụahịa maka 1K akara:
2x
Mgbasaozi Zọro-shot Cloning Cross-Language Nlekọta mmem Human-parity
Ọkachasị maka:: Real-time usoroiheomume, streaming TTS, ụda asistentes
Chọ̀ọ́ CosyVoice 2

Dia TTSDia TTS

Standard

Dia site na Nari Labs bụ 1.6B parameter text-to-speech model nke e mepụtara n'ụzọ pụrụ iche maka ịmepụta multi-speaker dialog. Ọ nwere ike ịmepụta okwu okwu na-atọ ụtọ n'etiti ndị na-ekwu okwu abụọ na-ewere ọnọdụ dị mma, prosody, na ngosipụta mmetụta uche. Dia bụ nke zuru ezu maka ịmepụta ọdịnaya nke ụdị podcast, audiobook dialogs, na interactive conversational AI.

Debanye aha::
Nari Labs
Ikikere::
Apache 2.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en
VRAM:
4GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
2x
Mọlti-ọsụsọ Nhazi dayalọ́ọ̀gụ̀ Nhazi-nhazi Nkọwa n'ime uche 1.6B paramita
Ọkachasị maka:: Podcasts, audiobook dialogs, conversation content
Chọ̀ọ́ Dia TTS

Parler TTSParler TTS

Standard

Parler TTS bụ ngwe-na-asụsụ model nke na-eji nkọwa okwu asụsụ na-emegharị emegharị iji chịkwaa okwu a haziri. N'ebe ịhọrọ site n'asụsụ ndị a haziri, ị ga-akọwapụta okwu ịchọrọ (eg, "a warm female voice with a slight British accent, speaking slowly and clearly") na Parler ga-apụta okwu dị ka nkọwa ahụ. Nke a na-eme ka ọ dị mfe maka usoroiheomume ndị na-emegharị emegharị.

Debanye aha::
Hugging Face
Ikikere::
Apache 2.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en
VRAM:
4GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
2x
Nkọwa ụda Nhazi asụsụ nkeonwe Kewapụta ụda na-agbanwe agbanwe Enweghị ụda ọfụụ achọrọ
Ọkachasị maka:: Usoroiheomume n'ebe ịchọrọ njirimara ụda emeredịkachọrọ
Chọ̀ọ́ Parler TTS

GLM-TTSGLM-TTS

Standard

GLM-TTS site na Zhipu AI bụ usoro iheomume-na-asụsụ nke e wuru na Llama architecture na-atọgharị. Ọ na-eme ka ọ bụrụ ihe dị ala nke ihe nchọgharị n'etiti open-source TTS models, nke pụtara na ọ na-emepụta ihe kachasị dị mma. GLM-TTS na-akwado English na Chinese na ụda cloning site na 3-10 sekọnd audio samples.

Debanye aha::
Zhipu AI
Ikikere::
GLM-4 License
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh
VRAM:
4GB
Klọnsị ụda:
Ee
Ọnụahịa maka 1K akara:
2x
Ónyénwē ónyénwē Klọnsị ụda Flọọ́ọ̀tụ̀ọ̀tụ̀ Nhazi ụghasị
Ọkachasị maka:: Usoroiheomume ndị chọrọ nghọta nsụgharị nke kacha nta
Chọ̀ọ́ GLM-TTS

IndexTTS-2IndexTTS-2

Standard

IndexTTS-2 bụ usoro iheomume ngwe-na-asụsụ nke na-akwalite na nsụgharị ụda nke na-enweghị ntọala na nchịkwa mmetụta uche nke na-akpụ akpụ. Ọ nwere ike ịmepụta okwu na ụda mmetụta uche dị iche iche dị ka obi ụtọ, ọnwụ, ọdachi, ma ọ bụ ọdachi na-enweghị mkpa data nkuzi mmetụta uche. Model ahụ na-eji mmetụta uche vector iji chịkwaa ngosipụta mmetụta uche nke okwu a na-emepụta.

Debanye aha::
Index Team
Ikikere::
Bilibili Model License
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh
VRAM:
4GB
Klọnsị ụda:
Ee
Ọnụahịa maka 1K akara:
2x
Nhazi ụghaasị Zero-shot Èmò vétị̀ràlụ̀ Asụsụ na-egosi Nlekọta ọfụụ-ọfụụ
Ọkachasị maka:: Ihenhọrọ ndị na-egosi mmetụta uche, akwụkwọ ụda, ndịna-enyere aka virulụ
Chọ̀ọ́ IndexTTS-2

Spark TTSSpark TTS

Standard

Spark TTS site na SparkAudio bụ móòdù ngwe-ka-asụsụ nke na-asụgharị ụda n'otu n'otu n'ime ụda na-asụgharị n'otu n'otu n'ime ụda na-asụgharị n'otu n'otu. N'iji sekọnd 5 nke ụda na-asụgharị n'otu n'otu, ọ nwere ike ịsụgharị ụda n'otu n'otu ma ọ bụ mepụta ụda na-asụgharị n'otu n'otu n'ime ụda na-asụgharị n'otu n'otu. Spark TTS na-eji usoroiheomume nlekọta nke na-adabere n'ịjụjụ.

Debanye aha::
SparkAudio
Ikikere::
CC BY-NC-SA 4.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh
VRAM:
4GB
Klọnsị ụda:
Ee
Ọnụahịa maka 1K akara:
2x
Nhazi ụda Nlekọta mmem Nhazi ụcha N'okpuru 5-sekọnd Klónị
Ọkachasị maka:: Kewapụta ihenhọrọ ndị ahụ na ụda ndị ahụ nakwa nlekọta mmetụta uche
Chọ̀ọ́ Spark TTS

GPT-SoVITSGPT-SoVITS

Standard

GPT-SoVITS na-ejikọta GPT-style asụsụ modeling na SoVITS (Singing Voice Inference via Translation na Synthesis) maka ike-ọnụ-ọnụ-ọnụ. Na 5 sekọnd nke ọwa ntụgharị, ọ nwere ike ịkọ ụda na-ezighi ezi nakwa ịmepụta ụda ọhụrụ mgbe ọ na-echekwa ihenhọrọ nke onye na-ekwu okwu. Ọ dị mma na ọbụna okwu na-edegharị ụda.

Debanye aha::
RVC-Boss
Ikikere::
MIT
Nhazi:
Slow
Nhazi::
Asụsụ:
en, zh, ja, ko
VRAM:
6GB
Klọnsị ụda:
Ee
Ọnụahịa maka 1K akara:
2x
5-sekọnd Klónị Oji nke ọbụna Nkụzi nke obere-shot N'elu Cross-language
Ọkachasị maka:: Klọnaịsị ụda, nsụgharị ụda, nsụgharị ụda onye na-emepụta ihenhọrọ
Chọ̀ọ́ GPT-SoVITS

OrpheusOrpheus

Standard

Orpheus bụ nnukwu-ụdị ngwe-na-asụsụ model nke na-abịarute n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n'ihe na-eme n

Debanye aha::
Canopy Labs
Ikikere::
Llama 3.2 Community
Nhazi:
Medium
Nhazi::
Asụsụ:
en
VRAM:
4GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
2x
Ndụmọdụ 100K awa nkuzi Nkọwa naịraịl Asụsụ na-egosi
Ọkachasị maka:: Nsụgharị ụda dị elu, akwụkwọ ụda, nsụgharị ụda dị elu
Chọ̀ọ́ Orpheus

ChatterboxChatterbox

Premium

Chatterbox site na Resemble AI bụ a cutting-edge zero-shot ụda cloning model. Ọ nwere ike ịgbanwe ụda ọ bụla site n'otu ụda sample na nghọta zuru oke, na-echekwa ọ bụghị nanị timbre kamakwa ụda na-ekwu okwu na ụda ụda. Chatterbox nwekwara ike ịhazi ụda ụda nke ụda ụda, na-enye gị ohere ịhazi ụda ụda ụda nke ụda ụda na-apụta site na ụda ụda.

Debanye aha::
Resemble AI
Ikikere::
MIT
Nhazi:
Medium
Nhazi::
Asụsụ:
en
VRAM:
4GB
Klọnsị ụda:
Ee
Ọnụahịa maka 1K akara:
4x
Zọro-shot Cloning Nhazi ụghaasị High fidelity Style transfer Klọọ̀nụ̀tụ̀ sáà ọfụụ
Ọkachasị maka:: Nhazi ụda ọkachamara na nlekọta n'ime onwe, mmegharị ihenhọrọ
Chọ̀ọ́ Chatterbox

Tortoise TTSTortoise TTS

Premium

Tortoise TTS bụ usoroiheomume ngwe-ka-asụsụ nke na-ahazi ụda n'elu ọsọ. Ọ na-eji DALL-E-inspired architecture iji mepụta asụsụ na-adịgide adịgide na-eji prosody dị mma nakwa onye na-ekwu okwu dị ka nke ahụ. Otú ọ dị, Tortoise na-emepụta ụfọdụ n'ime asụsụ na-adịgide adịgide dị n'ime open-source ecosystem.

Debanye aha::
James Betker
Ikikere::
Apache 2.0
Nhazi:
Slow
Nhazi::
Asụsụ:
en
VRAM:
8GB
Klọnsị ụda:
Ee
Ọnụahịa maka 1K akara:
4x
Nhazi dị elu Òtù DALL-E architecture Nhazi ụda Ótùótù
Ọkachasị maka:: Audiobooks, premium content, quality-first applications
Chọ̀ọ́ Tortoise TTS

StyleTTS 2StyleTTS 2

Premium

StyleTTS 2 na-eme ka TTS dị ala na-eme ka ọ bụrụ nke mmadụ site n'ịgwakọta style diffusion na nkuzi n'ụzọ na-ejikwa asụsụ asụsụ dị ukwuu. Ọ na-eweta okwu na-atọ ụtọ n'etiti ụdị onye na-ekwu okwu, na-emeri ndị mmadụ na-edekọ. StyleTTS 2 na-eji diffusion-based style modeling iji hụ n'ụzọ zuru ezu n'ụdị okwu mmadụ.

Debanye aha::
Columbia University
Ikikere::
MIT
Nhazi:
Medium
Nhazi::
Asụsụ:
en
VRAM:
4GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
4x
Nhazi Ụdị ntụgharị Ọzụzụ ọgụgụgụ Nhazi N'elu
Ọkachasị maka:: Studio-quality single-speaker synthesis, professional narration
Chọ̀ọ́ StyleTTS 2

OpenVoiceOpenVoice

Premium

OpenVoice site na MyShell.ai na-enye ohere ịkọgharị ụda n'oge na-adịghị anya na nlekọta n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n'ime n

Debanye aha::
MyShell.ai / MIT
Ikikere::
MIT
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh, ja, ko, fr, de, es, it
VRAM:
4GB
Klọnsị ụda:
Ee
Ọnụahịa maka 1K akara:
4x
Klọ́nọ́ọ̀tụ̀ọ̀ Ntụgharị ụda Nhazi ụghaasị Nhazi aịkọn Asụsụ ndị ọzọ
Ọkachasị maka:: Klọọ́nọ̀ọ̀ okwu nà nlekọta style nke fine-grained, ntụgharị okwu
Chọ̀ọ́ OpenVoice

Qwen3 TTSQwen3 TTS

Standard

Qwen3-TTS bụ 1.7 billion parameter text-to-speech model site na Alibaba's Qwen team. Ọ na-akwado modes atọ: preset voices na emotion control (9 speakers), ụda cloning site na 3 sekọnd nke ụda, na a nzuzo ụda design mode ebe ị na-egosi ụda ịchọrọ na asụsụ na-emeghe. Ọ na-ekpuchi asụsụ 10 na-egosi elu na na-emeghe prosody.

Debanye aha::
Alibaba (Qwen)
Ikikere::
Apache 2.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh, ja, ko, de, fr, ru, pt, es, it
VRAM:
7GB
Klọnsị ụda:
Ee
Ọnụahịa maka 1K akara:
2x
Nhazi ụda 9 ụda ndị ahụ e kpebisiri ike Nhazi ụda site na ngwe Nlekọta mmem Asụsụ
Ọkachasị maka:: Agụgụala asụsụ dị iche iche na ụda ọbụla ma ọ bụ ụda emeredịkachọrọ
Chọ̀ọ́ Qwen3 TTS

Sesame CSMSesame CSM

Premium

Sesame CSM (Conversational Speech Model) bụ 1 billion parameter model nke e mepụtara n'ụzọ pụrụ iche maka ịmepụta okwu okwu. Ọ na-emezigharị usoro ihe omume nke okwu okwu mmadụ gụnyere ntụgharị oge, nzaghachi backchannel, mmetụta uche, na ntụgharị okwu. CSM na-emezigharị ụda nke dị ka okwu okwu mmadụ n'onwe ya ka ọ bụrụ okwu okwu synthetic.

Debanye aha::
Sesame
Ikikere::
Apache 2.0
Nhazi:
Slow
Nhazi::
Asụsụ:
en
VRAM:
8GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
4x
Nkata Nhazi oge Ntụgharị Backchannel 1B paramita
Ọkachasị maka:: Ndịna-enyere AI aka, chatbots, usoroiheomume AI na-akọrịta okwu
Chọ̀ọ́ Sesame CSM

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.

Debanye aha::
KittenML
Ikikere::
Apache 2.0
Nhazi:
Fast
Nhazi::
Asụsụ:
en
VRAM:
0GB
Klọnsị ụda:
Ọ dịghị
Ọnụahịa maka 1K akara:
Ọfụụ
CPU-only inference Under 80MB model size 8 built-in voices Speed control ONNX-based 24kHz output
Ọkachasị maka:: Fast lightweight TTS, edge deployment, low-latency applications
Chọ̀ọ́ Kitten TTS

KokoroKokoro

Ọfụụ

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.

Debanye aha::
Hexgrad
Ikikere::
Apache 2.0
Nhazi:
Fast
Nhazi::
Asụsụ: en, ja, zh, ko, fr, de, it, pt, es, hi, ru
Ọkachasị maka:: High-quality TTS with minimal latency, streaming applications
Chọpụta

PiperPiper

Ọfụụ

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.

Debanye aha::
Rhasspy
Ikikere::
MIT
Nhazi:
Fast
Nhazi::
Asụsụ: 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
Ọkachasị maka:: Quick previews, accessibility, and embedded applications
Chọpụta

VITSVITS

Ọfụụ

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.

Debanye aha::
Jaehyeon Kim et al.
Ikikere::
MIT
Nhazi:
Fast
Nhazi::
Asụsụ: en, zh, ja, ko
Ọkachasị maka:: General-purpose text-to-speech with natural prosody
Chọpụta

MeloTTSMeloTTS

Ọfụụ

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.

Debanye aha::
MyShell.ai
Ikikere::
MIT
Nhazi:
Fast
Nhazi::
Asụsụ: en, es, fr, zh, ja, ko
Ọkachasị maka:: Production applications needing fast, multilingual TTS
Chọpụta

Kitten TTSKitten TTS

Ọfụụ

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.

Debanye aha::
KittenML
Ikikere::
Apache 2.0
Nhazi:
Fast
Nhazi::
Asụsụ: en
Ọkachasị maka:: Fast lightweight TTS, edge deployment, low-latency applications
Chọpụta

BarkBark

Dìfọ̀ltụ̀

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.

Debanye aha::
Suno
Ikikere::
MIT
Nhazi:
Slow
Nhazi::
Asụsụ:
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
Klọnsị ụda:
Ọ dịghị
Sound effectsLaughing/sighingMusic generation100+ speakersMultilingual
Ọkachasị maka:: Creative audio content, audiobooks with emotion, sound effects
Chọ̀ọ́ Bark

Bark SmallBark Small

Dìfọ̀ltụ̀

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.

Debanye aha::
Suno
Ikikere::
MIT
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
Klọnsị ụda:
Ọ dịghị
LightweightFaster than full BarkEmotional speechMultilingual
Ọkachasị maka:: Quick creative audio when full Bark is too slow
Chọ̀ọ́ Bark Small

CosyVoice 2CosyVoice 2

Dìfọ̀ltụ̀

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.

Debanye aha::
Alibaba (Tongyi Lab)
Ikikere::
Apache 2.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh, ja, ko, fr, de, it, es
Klọnsị ụda:
Ee
StreamingZero-shot cloningCross-lingualEmotion controlHuman-parity
Ọkachasị maka:: Real-time applications, streaming TTS, voice assistants
Chọ̀ọ́ CosyVoice 2

Dia TTSDia TTS

Dìfọ̀ltụ̀

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.

Debanye aha::
Nari Labs
Ikikere::
Apache 2.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en
Klọnsị ụda:
Ọ dịghị
Multi-speakerDialog generationNatural turn-takingEmotional expression1.6B parameters
Ọkachasị maka:: Podcasts, audiobook dialogues, conversational content
Chọ̀ọ́ Dia TTS

Parler TTSParler TTS

Dìfọ̀ltụ̀

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.

Debanye aha::
Hugging Face
Ikikere::
Apache 2.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en
Klọnsị ụda:
Ọ dịghị
Voice descriptionNatural language controlFlexible voice creationNo preset voices needed
Ọkachasị maka:: Creative applications where you need custom voice characteristics
Chọ̀ọ́ Parler TTS

GLM-TTSGLM-TTS

Dìfọ̀ltụ̀

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.

Debanye aha::
Zhipu AI
Ikikere::
GLM-4 License
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh
Klọnsị ụda:
Ee
Lowest error rateVoice cloningFlow matchingNatural prosody
Ọkachasị maka:: Applications requiring maximum pronunciation accuracy
Chọ̀ọ́ GLM-TTS

IndexTTS-2IndexTTS-2

Dìfọ̀ltụ̀

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.

Debanye aha::
Index Team
Ikikere::
Bilibili Model License
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh
Klọnsị ụda:
Ee
Emotion controlZero-shotEmotion vectorsExpressive speechFine-grained control
Ọkachasị maka:: Emotionally expressive content, audiobooks, virtual assistants
Chọ̀ọ́ IndexTTS-2

Spark TTSSpark TTS

Dìfọ̀ltụ̀

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.

Debanye aha::
SparkAudio
Ikikere::
CC BY-NC-SA 4.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh
Klọnsị ụda:
Ee
Voice cloningEmotion controlStyle controlPrompt-based5-second cloning
Ọkachasị maka:: Content creation with cloned voices and emotional control
Chọ̀ọ́ Spark TTS

GPT-SoVITSGPT-SoVITS

Dìfọ̀ltụ̀

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.

Debanye aha::
RVC-Boss
Ikikere::
MIT
Nhazi:
Slow
Nhazi::
Asụsụ:
en, zh, ja, ko
Klọnsị ụda:
Ee
5-second cloningSinging voiceFew-shot learningHigh fidelityCross-lingual
Ọkachasị maka:: Voice cloning, singing synthesis, content creator voice replication
Chọ̀ọ́ GPT-SoVITS

OrpheusOrpheus

Dìfọ̀ltụ̀

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.

Debanye aha::
Canopy Labs
Ikikere::
Llama 3.2 Community
Nhazi:
Medium
Nhazi::
Asụsụ:
en
Klọnsị ụda:
Ọ dịghị
Human-level emotion100K hours trainingNatural emphasisExpressive speech
Ọkachasị maka:: High-quality emotional speech, audiobooks, voice acting
Chọ̀ọ́ Orpheus

Qwen3 TTSQwen3 TTS

Dìfọ̀ltụ̀

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.

Debanye aha::
Alibaba (Qwen)
Ikikere::
Apache 2.0
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh, ja, ko, de, fr, ru, pt, es, it
Klọnsị ụda:
Ee
Voice cloning9 preset voicesVoice design from textEmotion control10 languages
Ọkachasị maka:: Multilingual content with voice cloning or custom voice design
Chọ̀ọ́ Qwen3 TTS

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.

Debanye aha::
Resemble AI
Ikikere::
MIT
Nhazi:
Medium
Nhazi::
Asụsụ:
en
Klọnsị ụda:
Ee
VRAM:
4GB
Ọnụahịa maka 1K akara:
4x
Zero-shot cloningEmotion controlHigh fidelityStyle transferSingle sample cloning
Ọkachasị maka:: Professional voice cloning with emotional control, content creation
Chọ̀ọ́ Chatterbox

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.

Debanye aha::
James Betker
Ikikere::
Apache 2.0
Nhazi:
Slow
Nhazi::
Asụsụ:
en
Klọnsị ụda:
Ee
VRAM:
8GB
Ọnụahịa maka 1K akara:
4x
Highest qualityMulti-voiceDALL-E architectureVoice cloningAutoregressive
Ọkachasị maka:: Audiobooks, premium content, quality-first applications
Chọ̀ọ́ Tortoise TTS

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.

Debanye aha::
Columbia University
Ikikere::
MIT
Nhazi:
Medium
Nhazi::
Asụsụ:
en
Klọnsị ụda:
Ọ dịghị
VRAM:
4GB
Ọnụahịa maka 1K akara:
4x
Human-levelStyle diffusionAdversarial trainingNatural variationHigh fidelity
Ọkachasị maka:: Studio-quality single-speaker synthesis, professional narration
Chọ̀ọ́ StyleTTS 2

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.

Debanye aha::
MyShell.ai / MIT
Ikikere::
MIT
Nhazi:
Medium
Nhazi::
Asụsụ:
en, zh, ja, ko, fr, de, es, it
Klọnsị ụda:
Ee
VRAM:
4GB
Ọnụahịa maka 1K akara:
4x
Instant cloningVoice conversionEmotion controlAccent controlMultilingual
Ọkachasị maka:: Voice cloning with fine-grained style control, voice conversion
Chọ̀ọ́ OpenVoice

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.

Debanye aha::
Sesame
Ikikere::
Apache 2.0
Nhazi:
Slow
Nhazi::
Asụsụ:
en
Klọnsị ụda:
Ọ dịghị
VRAM:
8GB
Ọnụahịa maka 1K akara:
4x
ConversationalNatural timingTurn-takingBackchannel1B parameters
Ọkachasị maka:: AI assistants, chatbots, conversational AI applications
Chọ̀ọ́ Sesame CSM

Model Comparison Table

Móòdù Debanye aha: _Nhazi Nhazi: Nhazi Asụsụ Klọnsị ụda VRAM Ikikere: Nri
Kokoro Hexgrad Free Fast 11 1.5GB Apache 2.0 Ọfụụ Jiri
Piper Rhasspy Free Fast 31 0 (CPU only) MIT Ọfụụ Jiri
VITS Jaehyeon Kim et al. Free Fast 4 1GB MIT Ọfụụ Jiri
MeloTTS MyShell.ai Free Fast 6 0.5GB (GPU optional) MIT Ọfụụ Jiri
Bark Suno Standard Slow 13 5GB MIT 2 Jiri
Bark Small Suno Standard Medium 13 2GB MIT 2 Jiri
CosyVoice 2 Alibaba (Tongyi Lab) Standard Medium 8 4GB Apache 2.0 2 Jiri
Dia TTS Nari Labs Standard Medium 1 4GB Apache 2.0 2 Jiri
Parler TTS Hugging Face Standard Medium 1 4GB Apache 2.0 2 Jiri
GLM-TTS Zhipu AI Standard Medium 2 4GB GLM-4 License 2 Jiri
IndexTTS-2 Index Team Standard Medium 2 4GB Bilibili Model License 2 Jiri
Spark TTS SparkAudio Standard Medium 2 4GB CC BY-NC-SA 4.0 2 Jiri
GPT-SoVITS RVC-Boss Standard Slow 4 6GB MIT 2 Jiri
Orpheus Canopy Labs Standard Medium 1 4GB Llama 3.2 Community 2 Jiri
Chatterbox Resemble AI Premium Medium 1 4GB MIT 4 Jiri
Tortoise TTS James Betker Premium Slow 1 8GB Apache 2.0 4 Jiri
StyleTTS 2 Columbia University Premium Medium 1 4GB MIT 4 Jiri
OpenVoice MyShell.ai / MIT Premium Medium 8 4GB MIT 4 Jiri
Qwen3 TTS Alibaba (Qwen) Standard Medium 10 7GB Apache 2.0 2 Jiri
Sesame CSM Sesame Premium Slow 1 8GB Apache 2.0 4 Jiri
Kitten TTS KittenML Free Fast 1 0GB Apache 2.0 Ọfụụ Jiri

Nhazi nke ngwe ka ọsụsọ

Gịnị mere ị ga-eji họrọ TTS.ai maka ederede ka okwu?

TTS.ai na-ejikọta ọnụ ụwa kachasị mma nke na-eme ka ntinye ederede na-ekwu okwu na otu, dị mfe iji wụnye. Dị ka ọrụ ndị na-enye gị ohere ịbanye na engine okwu, TTS.ai na-enye gị ohere ịnweta 20 + ụdị site na ụlọ ọrụ nyocha na-ahụ maka Coqui, MyShell, Amphion, NVIDIA, Suno, HuggingFace, Tsinghua University, na ndị ọzọ.

Model ọ bụla bụ ohuru ohuru n'okpuru MIT, Apache 2.0, ma ọ bụ ndị ọzọ dị ka ikike ikike, na-eme ka ị nwee ikike zuru oke iji jiri ụda na-emepụta na ọrụ gị. Ọ bụrụ na ịchọrọ ngwa ngwa, n'ihi na ịchọrọ ngwa ngwa maka ngwa ngwa oge ma ọ bụ n'ihi na ịchọrọ ntinye akwụkwọ maka akwụkwọ ụda na podcasts, TTS.ai nwere ụdị ziri ezi maka ihe niile.

Free Models, No Account Required

Bido n'oge na-adịghị anya na free TTS models atọ: Piper (ultra-fast, lightweight), VITS (high-quality neural synthesis), na MeloTTS (multi-language support). Ọ dịghị ndebanye aha, ọ dịghị kaadị akwụmụgwọ, ọ dịghị oke na nsụgharị. Free models na-akwado English na asụsụ ndị ọzọ dị iche iche na natural-sounding output dị mma maka ọtụtụ usoro ihe omume.

Nhazi GPU-emegharịrị

TTS niile na-arụ ọrụ na NVIDIA GPUs maka oge nrụpụta dị n'ụzọ dị mfe. Free models na-arụ ọrụ n'okpuru sekọnd 2. Standard models dị ka Kokoro, CosyVoice 2, na Bark average 3-5 sekọnd. Premium models na-arụ ọrụ na sekọnd 5-15 dabere na ogologo ngwe.

30+ Asụsụ

Ọrụ na-emegharị okwu n'ihe karịrị asụsụ 30 gụnyere English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Hindi, Russian, na ọtụtụ ndị ọzọ. Models dị iche iche na-akwado cross-language synthesis, nke pụtara na ị nwere ike ịmepụta okwu n'asụsụ nke ụda mbụ ahụ anaghị arụ ọrụ na ya. CosyVoice 2 na GPT-SoVITS na-arụ ọrụ na cross-language voice cloning.

Developer-Ready API

Nweta TTS.ai n'ime ngwa gị na OpenAI-compatible REST API. Otu n'ime ihe ngwụcha maka 20 + ụdị niile. Python, JavaScript, cURL, na Go SDKs. Streaming nkwado maka ngwa ngwa oge. Batch usoro maka nnukwu-scale ọdịnaya generation. Webhooks maka async ozi. Available na Pro na Enterprise plans.

Ajụjụ ndị a na-ajụkarị

Text to speech (TTS) bụ teknụzụ AI nke na-atụgharị ngwe edere n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ na-asụgharị n'asụsụ.

Ọ na-adabere n'ihe ịchọrọ. Maka nlele n'oge, jiri Piper mọọbụ MeloTTS (n'efu, n'ihi na ọ dị ngwa). Maka ogo dị elu, jiri Kokoro mọọbụ CosyVoice 2 (standard tier). Maka ịkọ okwu, jiri Chatterbox mọọbụ GPT-SoVITS (premium). Maka okwu/podcast ngwe, jiri Dia TTS. Model ọbụla nwere ike dị iche iche - mee nnyocha ka ịchọpụta nke kacha mma.

Ee! TTS.ai na-enye ntinye akwụkwọ n'efu na Kokoro, Piper, VITS, na MeloTTS models. Ọ dịghị akaụntụ chọrọ maka ihe karịrị 500 characters na 3 generations kwa awa. Tinye akaụntụ n'efu iji nweta 15,000 characters na-abanye na ụdị niile.

Anyị TTS models na-akwado 30+ asụsụ gụnyere English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, Russian, Hindi, na ọtụtụ ndị ọzọ. Language availability na-agbanwe site na model.

Ee, ụda e mepụtara site na TTS.ai a ga-eji ya eme ihe. Models anyị niile na-eji open-source licenses (MIT, Apache 2.0). Gbanwee model licenses nke onye ọbụla maka ọnọdụ pụrụ iche. Anyị na-atụ aro ịtụle license nke model pụrụ iche ị na-eji maka usoroiheomume gị.

TTS.ai na-akwado MP3, WAV, OGG, na FLAC output formats. MP3 bụ difọ́ọ̀ltụ̀ maka web playback. WAV a na-atụ aro maka ọzọ audio processing. I nwere ike ịgbanwe n'etiti formats site na iji anyị Audio Converter tool.

Klọnsị ụda na-eji AI mee ka ụda dị iche iche site n'ụdị ụda dị mkpirikpi (dịka ọmụmaatụ 5-30 sekọnd). Tinye ndezi nke ụda ahụ, na móòdù dịka Chatterbox, GPT-SoVITS, mọọbụ OpenVoice ga-ebipụta ụda ọfụụ n'ụda ahụ. Nhazi ahụ na-abawanye site n'iji ụda dị ọcha na ogologo.

Ndị ọrụ ọbụla nwere ike ịmepụta ruo 500 akara n'otu arịrịọ. Ndị ọrụ emeredịkachọrọ nwere ike ịmepụta ruo 5,000 akara n'otu arịrịọ. Maka ngwe ogologo, ụda a na-emepụta ya n'ime akụkụ ma na-ejikọta ya ọnụ n'onwe ya. Ndị ọrụ API nwere ike ịrụzi ruo 10,000 akara n'otu arịrịọ.

SSML (Speech Synthesis Markup Language) nkwado na-adabere na móòdù. Piper na ụfọdụ móodù ndị ọzọ na-akwado SSML táàbụ̀ nke isi maka nkwụsị, n'akụkọ ihe mere eme, nakwa nchịkwa nsụgharị. Maka móodù na-enweghị nkwado SSML nke na-abịa, ị nwere ike iji akara ngosi na nkwụsịlaịnụ iji metụta prosody.

Ee, ọtụtụ móòdù na-akwado mmegharị ọsọ ọsọ site na 0.5x ruo 2.0x. Ụfọdụ mòodù dị ka Bark na Parler na-enyekwa ohere nlegharị na nchịkwa style. I nwere ike ịhazi ọsọ ọsọ parameters na paneelụ nhazi n'elu ma ọ bụ site na ọsọ ọsọ API parameters.

Ee, usoroiheomume batch dị n'ụdị API anyị. I nwere ike ịkpọpụta ngwe ndị dị iche iche n'ụdị API ọbụla mọọbụ ihumkpụrụedemede, na nke ọbụla ga-abụ usoroiheomume ma weghachite dịka faịlụ ụda dị iche iche. Nke a dị mma maka isiokwu akwụkwọ ụda, modulu e-learning, mọọbụ ihumkpụrụedemede egwuregwu.

Kewapụta kuki API site na dashboard akaụntụ gị, wee zitere arịrịọ POST gaa na REST API endpoint anyị na ngwe gị, model, na ụda parameters. Anyị na-enye ihe atụ nke koodu na Python, JavaScript, na cURL. API bụ OpenAI-compatible, yabụ na-arụ ọrụ na-arụ ọrụ na mgbanwe dị ala.
5.0/5 (2)

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