AI Teks-ka-waca
Konversi teks dadi swara alami kanthi 24+ open-source model AI. Bebas kanggo digunakake, ora mbutuhake akun.
Ngresiki teks ing tag SSML kanggo kontrol presisi:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tambahake tandha-tandha emosi kanggo ngrusak pangiriman (pangdukungan model béda-béda):
Nyathet tembung-tembung standar (kata = tembung):
Pratélan Model
Piper
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.
| Pangembang: | Rhasspy |
| Lisénsi: | MIT |
| Kacepetan | Fast |
| Kualitas: | |
| basa | 31 basa |
| VRAM | 0 (CPU only) |
| Kloning swara | Ora didhukung |
Tip kanggo asil sing luwih apik
- Nggunakaké tanda baca sing bener kanggo paugeran lan intonasi alami
- Ejaan angka lan singkatan kanggo pangucapan kang luwih jelas
- Tambahake tanda kutip kanggo nyiptakaké paugeran cekak ing antarane frasa
- Nggunakaké ellipsis (...) kanggo pamindhahan dramatis sing luwih dawa
- Coba Kokoro utawa CosyVoice2kanggo asil kang paling alami
- Gunake Dia kanggo dialog multi-speaker lan isi podcast
Kredit
| Tanggal | Biaya saben 1K aksara |
|---|---|
| Bebas | 0 credits (unlimited) |
| Standar | 2 kredit / 1K aksara |
| Premium | 4 kredit / 1K aksara |
Carané AI Text to Speech kerja
Nyiptakaké voiceover kualitas profesional kanthi telung langkah gampang. Ora mbutuhaké kawruh teknis.
Ngetik teksmu
Ketik, tempel, utawa unggah teks kang arep dikonversi dadi swara. Dukung nganti 5,000 karakter saben generasi kanggo pangguna sing wis mlebu. Gunakake teks biasa utawa tambahake tag SSML kanggo kontrol maju babagan swara, pause, lan penekanan.
Pilih Model & Suara
Pilih saka 24+ model AI liwat telu tingkat. Pilih swara kang cocog karo isimu, pilih basa targetmu, atur kacepetan playback saka 0.5x nganti 2.0x, lan pilih format output sing dibutuhake (MP3, WAV, OGG, utawa FLAC).
Ngundhuh
Klik Generate lan audio sampeyan bakal siap ing sawetara detik. Pratélan karo pamuter tertanam, ngundhuh ing format sing dipilih, utawa nyalin tautan sing bisa dibagi. Gunakake API kanggo pamrosesan batch lan integrasi menyang workflow sampeyan.
Teks-ka-ucapan
Tekst-to-speech kang dipigunakaké AI ngrubah cara wong nyipta, konsumsi, lan interaksi karo konten audio ing pirang-pirang industri.
Text-to-Speech
Spesifikasi rinci kanggo saben model AI kang ana ing TTS.ai. Ngbandingaké kualitas, kecepatan, dukungan basa, lan fitur kanggo nemokake model sing sampurna kanggo proyèkmu.
Kokoro
Free
Kokoro ya iku modél teks-ka-ucapan kanthi parameter 82 yuta kang bisa ngasilaké swara kang alami lan ekspresif. Kokoro nawakake macem-macem basa, kalebu basa Inggris, Jepang, Cina, lan Korea, kanthi macem-macem swara ekspresif. Kokoro bisa dioperasikaké kanthi cepet — ngasilaké swara 100x luwih cepet tinimbang real-time ing GPU.
Hexgrad
Apache 2.0
Fast
en, ja, zh, ko, fr, de, it, pt, es, hi, ru
1.5GB
Ora
Bebas
Piper
Free
Piper ya iku mesin teks-ka-ucapan kang digawé déning Rhasspy kang migunakaké VITS lan larynx architectures. Piper iki dioperasikaké kanthi lengkap ing CPU, saéngga cocog kanggo piranti pinggir, otomatisasi omah, lan aplikasi kang mbutuhaké TTS offline. Kanthi luwih saka 100 swara ing 30+ basa, Piper nyedhiyani swara alami ing kecepatan real-time malah ing Raspberry Pi 4.
Rhasspy
MIT
Fast
en, de, fr, es, it, pt, nl, pl, ru, zh, ja, ko, ar, cs, da, fi, el, hu, is, ka, kk, ne, no, ro, sk, sr, sv, sw, tr, uk, vi
0 (CPU only)
Ora
Bebas
VITS
Free
VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) ya iku cara TTS end-to-end paralel kang ngasilaké swara kang luwih alami tinimbang modél loro-tahap saiki. Digunakaké inference variasional kang ditambah karo aliran normalisasi lan proses pelatihan adversarial, kang ngasilaké paningkatan alamiah sing signifikan.
Jaehyeon Kim et al.
MIT
Fast
en, zh, ja, ko
1GB
Ora
Bebas
MeloTTS
Free
MeloTTS déning MyShell.ai ya iku pustaka TTS multibasa kang nyokong basa Inggris (Amerika, Inggris, India, Australia), Spanyol, Prancis, Cina, Jepang, lan Korea. MeloTTS iku cepet banget, ngproses teks ing kecepatan wektu nyata ing CPU. MeloTTS dirancang kanggo panggunaan produksi lan nyokong CPU lan GPU inference.
MyShell.ai
MIT
Fast
en, es, fr, zh, ja, ko
0.5GB (GPU optional)
Ora
Bebas
Bark
Standard
Bark déning Suno ya iku model teks-ka-audio kang dumadi saka transformator kang bisa ngasilaké swara multibasa kang realistis lan uga swara liyané kaya ta musik, swara latar mburi, lan efek swara. Iki bisa ngasilaké komunikasi nonverbal kaya ta tawa, semu, lan tangis. Bark nyokong luwih saka 100 preset swara lan 13+ basa.
Suno
MIT
Slow
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
5GB
Ora
2
Bark Small
Standard
Bark Small ya iku versi distilasi saka modél Bark kang ngganti kualitas audio kanggo kecepatan inferensi kang luwih cepet lan kabutuhan memori sing luwih endhek. Iki ngandhut kemampuan Bark kanggo ngasilaké basa kanthi emosi, tawa, lan basa sanèsipun.
Suno
MIT
Medium
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
2GB
Ora
2
CosyVoice 2
Standard
CosyVoice2déning Alibaba's Tongyi Lab nggayuh kualitas swara kang padha karo manungsa kanthi latensi kang dhuwur banget, saéngga cocog kanggo aplikasi real-time. Dhèwèké nggunakake pendekatan kuantasi skala finit kanggo sintesis streaming lan nyokong kloning swara zero-shot, sintesis cross-lingual, lan kontrol emosi granular. Dhèwèké ngluwihi akeh sistem TTS komersial ing evaluasi subjektif.
Alibaba (Tongyi Lab)
Apache 2.0
Medium
en, zh, ja, ko, fr, de, it, es
4GB
Ya
2
Dia TTS
Standard
Dia déning Nari Labs ya iku 1.6B parameter teks-ka-ucapan model dirancang khusus kanggo ngasilaké multi-speaker dialog. Iki bisa ngasilaké natural-sounding percakapan antarané loro speakers karo turn-taking sing cocog, prosody, lan ekspresi emosi. Dia sampurna kanggo nggawe podcast-style isi, dialog audiobook, lan interaktif conversational AI.
Nari Labs
Apache 2.0
Medium
en
4GB
Ora
2
Parler TTS
Standard
Parler TTS ya iku modél teks-ka-ucapan kang migunakaké deskripsi swara basa alami kanggo ngontrol swara kang dihasilaké. Saliyané milih saka swara-suara kang wis ditemtokake, sampeyan bisa nggambaraké swara sing dikarepake (kayata, "suara wanita sing hangat karo aksen Inggris, ngomong kanthi alon lan jelas") lan Parler bakal ngasilaké swara sing cocog karo deskripsi mau. Iki ndadèkaké unik lan fleksibel kanggo aplikasi kreatif.
Hugging Face
Apache 2.0
Medium
en
4GB
Ora
2
IndexTTS-2
Standard
IndexTTS-2 ya iku sistem teks-ka-ucapan kang maju kang unggul ing sintesis swara zero-shot karo kontrol emosi granular. Bisa ngasilaké swara kanthi nada emosi tartamtu kaya seneng, sedih, marah, utawa kuwatir tanpa mbutuhaké data pelatihan emosi tartamtu. Model iki nggunakake vektor emosi kanggo ngontrol ekspresi emosi saka swara kang dihasilaké.
Index Team
Apache 2.0
Medium
en, zh
4GB
Ya
2
Spark TTS
Standard
Spark TTS déning SparkAudio ya iku modél teks-ka-ucapan kang nggabungaké kloning swara karo emosi kang bisa dikontrol lan gaya pangucapan. Nggunakaké mung5detik audio referensi, bisa kloning swara lan banjur ngasilaké pangucapan karo emosi, kecepatan, lan gaya kang beda-beda nalika njaga identitas swara kloning. Spark TTS migunakaké sistem kontrol berbasis pitakon.
SparkAudio
Apache 2.0
Medium
en, zh
4GB
Ya
2
GPT-SoVITS
Standard
GPT-SoVITS nggabungaké modeling basa gaya GPT karo SoVITS (Singing Voice Inference via Translation and Synthesis) kanggo kloning swara kang kuat. Kanthi mung5detik audio referensi, bisa kloning swara kanthi bener lan ngasilaké swara anyar nalika ngandelaké ciri-ciri sing unik saka pembicara. Iki apik ing sintesis swara swara lan nyanyi.
RVC-Boss
MIT
Slow
en, zh, ja, ko
6GB
Ya
2
Orpheus
Standard
Orpheus ya iku modél teks-ka-ucapan kanthi skala gedhé kang bisa ngasilaké ekspresi emosi ing tingkat manungsa. Dilatih ing luwih saka 100.000 jam data swara kang béda-béda, iku bisa ngasilaké swara kanthi emosi alami, pangertèn, lan gaya swara. Orpheus bisa ngasilaké swara kang ora bisa dibedakaké saka rekaman manungsa.
Canopy Labs
Llama 3.2 Community
Medium
en
4GB
Ora
2
Chatterbox
Premium
Chatterbox déning Resemble AI iku modél kloning swara zero-shot kang paling anyar. Bisa ngreplikasi swara apa wae saka sampel audio tunggal kanthi akurasi kang apik, ora mung nyekel timbre nanging uga gaya pangucapan lan nuansa emosi. Chatterbox uga duwé kontrol emosi kang apik, kang ngidini sampeyan nyetel nada emosi saka pangucapan kang dihasilaké kanthi independen saka identitas swara.
Resemble AI
MIT
Medium
en
4GB
Ya
4
Tortoise TTS
Premium
Tortoise TTS iku sistem teks-ka-ucapan multi-suara autoregressive kang ngutamakaké kualitas audio tinimbang kacepetan. Dhèwèké migunakaké arsitektur DALL-E-inspirasi kanggo ngasilaké basa alami kanthi prosodi lan kesamaan swara sing apik. Nalika luwih lambat tinimbang akeh alternatif, Tortoise ngasilaké basa sintetis sing paling realistis kang ana ing ekosistem sumber terbuka.
James Betker
Apache 2.0
Slow
en
8GB
Ya
4
StyleTTS 2
Premium
StyleTTS 2 nggayuh sintesis TTS tingkat manungsa kanthi nggabungaké difusi gaya karo pelatihan kontras nganggo model basa swara gedhe. Iki ngasilake swara sing paling alami ing antarane model swara siji, ngrebut rekaman manungsa. StyleTTS 2 nggunakake model gaya adhedhasar difusi kanggo nyekel kabeh variasi swara manungsa.
Columbia University
MIT
Medium
en
4GB
Ora
4
OpenVoice
Premium
OpenVoice déning MyShell.ai ngaktifaké kloning swara langsung kanthi kontrol granular ing gaya swara, emosi, aksen, ritme, paugeran, lan intonasi. Bisa kloning swara saka klip audio cekak lan ngasilaké swara ing pirang-pirang basa nalika njaga identitas pangucap. OpenVoice uga fungsi minangka konversi swara, ngaktifaké transformasi swara real-time.
MyShell.ai / MIT
MIT
Medium
en, zh, ja, ko, fr, de, es, it
4GB
Ya
4
Qwen3 TTS
Standard
Qwen3-TTS ya iku 1.7 milyar parameter teks-ka-ucapan model saka Alibaba's Qwen tim. Iki nyokong telu mode: preset swara karo emosional kontrol (9 speakers), suara kloning saka mung3detik saka audio, lan unik swara desain mode ngendi sampeyan nggambarake swara sampeyan pengin ing basa alami. Iki nutupi 10 basa karo ekspresif dhuwur lan prosody alami.
Alibaba (Qwen)
Apache 2.0
Medium
en, zh, ja, ko, de, fr, ru, pt, es, it
7GB
Ya
2
Sesame CSM
Premium
Sesame CSM (Conversational Speech Model) inggih punika model 1 milyar parameter ingkang dipunrancang khusus kanggé ngasilaken pidato konversasional. Piyambakipun ngasilaken pola alami saking pidato manungsa kados ta timing turn-taking, tanggapan backchannel, reaksi emosional, lan aliran konversasi. CSM ngasilaken audio ingkang swaranipun kados pidato manungsa alami katimbang pidato sintetis.
Sesame
Apache 2.0
Slow
en
8GB
Ora
4
Kokoro
Bebas
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
Bebas
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
Bebas
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
Bebas
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
Bark
Standar
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
Ora
Bark Small
Standar
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
Ora
CosyVoice 2
Standar
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
Ya
Dia TTS
Standar
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
Ora
Parler TTS
Standar
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
Ora
IndexTTS-2
Standar
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
Apache 2.0
Medium
en, zh
Ya
Spark TTS
Standar
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
Apache 2.0
Medium
en, zh
Ya
GPT-SoVITS
Standar
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
Ya
Orpheus
Standar
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
Ora
Qwen3 TTS
Standar
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
Ya
Chatterbox
Premium
Chatterbox by Resemble AI is a cutting-edge zero-shot voice cloning model. It can replicate any voice from a single audio sample with remarkable accuracy, capturing not just the timbre but also the speaking style and emotional nuances. Chatterbox also features fine-grained emotion control, allowing you to adjust the emotional tone of the generated speech independently from the voice identity.
Resemble AI
MIT
Medium
en
Ya
4GB
4
Tortoise 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.
James Betker
Apache 2.0
Slow
en
Ya
8GB
4
StyleTTS 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.
Columbia University
MIT
Medium
en
Ora
4GB
4
OpenVoice
Premium
OpenVoice by MyShell.ai enables instant voice cloning with granular control over voice style, emotion, accent, rhythm, pauses, and intonation. It can clone a voice from a short audio clip and generate speech in multiple languages while maintaining the speaker identity. OpenVoice also functions as a voice converter, allowing real-time voice transformation.
MyShell.ai / MIT
MIT
Medium
en, zh, ja, ko, fr, de, es, it
Ya
4GB
4
Sesame 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.
Sesame
Apache 2.0
Slow
en
Ora
8GB
4
Jadwal Pabandingan Model
| Model | Pangembang: | Tanggal | Kualitas: | Kacepetan | basa | Kloning swara | VRAM | Lisénsi: | credits | |
|---|---|---|---|---|---|---|---|---|---|---|
| Kokoro | Hexgrad | Free | Fast | 11 | 1.5GB | Apache 2.0 | Bebas | Nggunakake | ||
| Piper | Rhasspy | Free | Fast | 31 | 0 (CPU only) | MIT | Bebas | Nggunakake | ||
| VITS | Jaehyeon Kim et al. | Free | Fast | 4 | 1GB | MIT | Bebas | Nggunakake | ||
| MeloTTS | MyShell.ai | Free | Fast | 6 | 0.5GB (GPU optional) | MIT | Bebas | Nggunakake | ||
| Bark | Suno | Standard | Slow | 13 | 5GB | MIT | 2 | Nggunakake | ||
| Bark Small | Suno | Standard | Medium | 13 | 2GB | MIT | 2 | Nggunakake | ||
| CosyVoice 2 | Alibaba (Tongyi Lab) | Standard | Medium | 8 | 4GB | Apache 2.0 | 2 | Nggunakake | ||
| Dia TTS | Nari Labs | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | Nggunakake | ||
| Parler TTS | Hugging Face | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | Nggunakake | ||
| IndexTTS-2 | Index Team | Standard | Medium | 2 | 4GB | Apache 2.0 | 2 | Nggunakake | ||
| Spark TTS | SparkAudio | Standard | Medium | 2 | 4GB | Apache 2.0 | 2 | Nggunakake | ||
| GPT-SoVITS | RVC-Boss | Standard | Slow | 4 | 6GB | MIT | 2 | Nggunakake | ||
| Orpheus | Canopy Labs | Standard | Medium | 1 | 4GB | Llama 3.2 Community | 2 | Nggunakake | ||
| Chatterbox | Resemble AI | Premium | Medium | 1 | 4GB | MIT | 4 | Nggunakake | ||
| Tortoise TTS | James Betker | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | Nggunakake | ||
| StyleTTS 2 | Columbia University | Premium | Medium | 1 | 4GB | MIT | 4 | Nggunakake | ||
| OpenVoice | MyShell.ai / MIT | Premium | Medium | 8 | 4GB | MIT | 4 | Nggunakake | ||
| Qwen3 TTS | Alibaba (Qwen) | Standard | Medium | 10 | 7GB | Apache 2.0 | 2 | Nggunakake | ||
| Sesame CSM | Sesame | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | Nggunakake |
Platform teks-ka-ucapan AI paling komprehensif
Mengapa Pilih TTS.ai kanggo Text to Speech?
TTS.ai nggabungake donya
Saben model punika sumber kabuka wonten ing MIT, Apache 2.0, utawi lisensi permisif ingkang sami, ingkang njamin sampeyan gadhah hak komersial lengkap kanggé ngginakaken audio ingkang dipunhasilaken ing proyèk sampeyan. Manawi sampeyan butuh sintesis ingkang cepet lan entheng kanggé aplikasi real-time utawi output kualitas studio premium kanggé buku audio lan podcast, TTS.ai gadhah model ingkang leres kanggé saben kasus panggunaan.
Free Models, No Account Required
Miwiti langsung karo telu model TTS gratis: Piper (ultra-cepet, lightweight), VITS (neural synthesis kualitas dhuwur), lan MeloTTS (dukung multi-basa). Ora perlu ndhaptar, ora perlu kertu kredit, ora ana watesan ing generasi. Model gratis duwé dukungan basa Inggris lan basa liya kanthi swara alami sing cocog kanggo akèh aplikasi.
GPU-Accelerated Processing
Saben modél TTS dijalanaké ing GPU NVIDIA sing didedikasikaké kanggo wektu generasi sing cepet lan konsisten. Modél gratis asring ngasilaké audio ing ngisor2detik. Modél standar kaya Kokoro, CosyVoice2lan Bark rata-rata 3-5 detik. Modél premium kanthi kualitas paling dhuwur, kaya Tortoise lan Chatterbox, diproses ing 5-15 detik gumantung saka dawa teks.
30+ basa sing didhukung
Ngasilaké swara ing luwih saka 30 basa kalebu basa Inggris, Spanyol, Prancis, Jerman, Italia, Portugis, Cina, Jepang, Korea, Arab, Hindi, Rusia, lan liya-liyané. Sapérangan modél nyokong sintesis cross-language, tegesé sampeyan bisa ngasilaké swara ing basa sing swara asli ora tau dilatih. CosyVoice2lan GPT-SoVITS apik ing kloning swara cross-language.
Developer-Ready API
Integrasi TTS.ai ing aplikasi karo OpenAI-kompatibel REST API kita. One endpoint for all 24+ models. Python, JavaScript, cURL, lan Go SDKs. Streaming dukungan kanggo real-time aplikasi. Batch processing for large-scale content generation. Webhooks for async notification. Available on Pro and Enterprise plans.
Pitakon kang Kadhangkala Ditakoni
Miwiti Konversi Teks dadi Panjelasan Saiki
Ing taun 2005, 100,000 wong ing Amérika Sarékat lan 100,000 ing Amérika Kidul wis divaksinasi kanthi dosis pisanan.