Teks-ka-waca
Ngarobah teks kana basa anu sorana alami kalawan 24+ model AI open-source. Bebas digunakeun, teu perlu akun.
Nglapisi teks ing tag SSML kanggo kontrol sing tepat:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tambahake penanda emosi kanggo mengaruhi pengiriman (model dukungan beda-beda):
Nyathet pangucapan standar (kata = pangucapan):
Rincian 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 |
| Lisensi: | MIT |
| Kecepatan | Fast |
| Kualitas: | |
| basa | 31 basa |
| VRAM | 0 (CPU only) |
| Kloning Suara | Ora didukung |
Tips for Better Results
- Nggunakake tanda baca sing bener kanggo paugeran lan intonasi alami
- Ejaan angka lan singkatan kanggo pangucapan luwih jelas
- Tambahake titik koma kanggo nyiptakaké paugeran cekak ing antarane frasa
- Migunakake ellipses (...) kanggo paugeran dramatis sing luwih dawa
- Coba Kokoro utawa CosyVoice 2 kanggo asil sing paling alami
- Migunakake Dia kanggo dialog multi-pengucap lan isi podcast
Credit Costs
| Tingkat | Баасы ар бир 1K белгилер |
|---|---|
| Bebas | 0 kredit (ora ana watesan) |
| Standar | 2 credits / 1K chars |
| Premium | 4 kredit / 1K karakter |
Carane AI Text to Speech Works
Nyiptakeun voiceover kualitas profésional nganggo tilu léngkah saderhana. Ora butuh kawruh teknis.
Masukkan teks anda
Ketik, lebetkeun, atawa unggah teks nu rék dikonversikeun ka basa. Dukungan nepi ka 5000 karakter per generasi pikeun pamaké anu geus ngadaptar. Gunakeun teks biasa atawa tambahkeun tag SSML pikeun kontrol canggih kana pangucapan, jeda, jeung accentuasi.
Pilih Model & Suara
Pilih ti 24+ model AI ngaliwatan tilu tingkat. Pilih sora anu cocog sareng isi anjeun, pilih basa tujuan anjeun, atur laju pamutaran ti 0.5x dugi ka 2.0x, sareng pilih format hasil anu anjeun pikahoyong (MP3, WAV, OGG, atanapi FLAC).
Ngundhuh
Klik Nyiptakeun sarta audio anjeun bakal siap dina sababaraha detik. Pratélan ku pamuter jero, ngundeur dina format anu anjeun pilih, atawa salin tautan anu tiasa dibagikeun. Gunakeun API pikeun pamrosésan batches sarta integrasi kana aliran kerja anjeun.
Текст-в-говор
Téks-ka-wacana anu didorong ku AI ngarobah cara jalma nyiptakeun, konsumsi, sareng berinteraksi sareng konten audio di sajumlah industri.
Text-to-Speech
Spesifikasi rinci pikeun unggal model AI anu sayogi dina TTS.ai. Ngbandingkeun kualitas, kecepatan, dukungan basa, sareng fitur pikeun mendakan model anu sampurna pikeun proyek anjeun.
Kokoro
Free
Kokoro nyaéta model teks-ka-wacana kalayan parameter 82 juta anu ngaleuwihan kelas beuratna. Sanaos ukuranana leutik, éta ngahasilkeun wacana anu alami sareng ekspresif. Kokoro ngadukung sababaraha basa kalebet basa Inggris, Jepang, Cina, sareng Korea kalayan rupa-rupa sora ekspresif. Éta ngajalankeun gancang pisan - ngahasilkeun audio sakitar 100x langkung gancang tibatan waktos nyata dina GPU.
Hexgrad
Apache 2.0
Fast
en, ja, zh, ko, fr, de, it, pt, es, hi, ru
1.5GB
Ora
Bebas
Piper
Free
Piper nyaéta mesin téks-ka-wacana anu ringan anu dikembangkeun ku Rhasspy anu ngagunakeun arsitektur VITS sareng larynx. Éta dijalankeun sacara lengkep dina CPU, janten sampurna pikeun alat edge, home automation, sareng aplikasi anu meryogikeun TTS offline. Ku langkung ti 100 sora ngalangkungan 30+ basa, Piper nyayogikeun wacana anu sorana alami dina kecepatan waktos nyata bahkan dina 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) nyaéta metode TTS paralel end-to-end anu ngahasilkeun sora anu langkung alami tibatan modél dua-tahap ayeuna. Éta ngadopsi variational inference ditambahkeun ku aliran normalisasi sareng prosés pelatihan lawan, ngahasilkeun paningkatan alamiah anu signifikan.
Jaehyeon Kim et al.
MIT
Fast
en, zh, ja, ko
1GB
Ora
Bebas
MeloTTS
Free
MeloTTS ku MyShell.ai nyaéta pustaka TTS multibasa anu ngadukung basa Inggris (Amerika, Inggris, India, Australia), Spanyol, Perancis, Cina, Jepang, jeung Korea. Éta gancang pisan, ngaolah téks dina laju waktos nyata dina CPU sorangan. MeloTTS dirancang pikeun panggunaan produksi sareng ngadukung CPU sareng GPU inference.
MyShell.ai
MIT
Fast
en, es, fr, zh, ja, ko
0.5GB (GPU optional)
Ora
Bebas
Bark
Standard
Bark ku Suno nyaéta model teks-ka-audio dumasar-transformator anu bisa ngahasilkeun basa multi-basa anu realistis sarta ogé audio séjén kayaning musik, sora latar, jeung efek sora. Bisa ngahasilkeun komunikasi non-verbal kayaning ketawa, ngahuleng, jeung nangis. Bark ngadukung leuwih ti 100 preset panyatur jeung 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 nyaéta versi distilasi tina model Bark anu ngagantikeun sababaraha kualitas audio pikeun laju inference anu langkung gancang sareng sarat mémori anu langkung handap. Éta ngajaga kamampuan Bark pikeun ngahasilkeun basa kalayan emosi, tawa, sareng sababaraha basa.
Suno
MIT
Medium
en, zh, fr, de, hi, it, ja, ko, pl, pt, ru, es, tr
2GB
Ora
2
CosyVoice 2
Standard
CosyVoice 2 ku Alibaba's Tongyi Lab ngahontal kualitas basa anu sabanding sareng manusa kalayan latensi anu sangat rendah, janten sampurna pikeun aplikasi real-time. Éta nganggo pendekatan kuantisasi skala hébat pikeun sintésis streaming sareng ngadukung kloning sora zero-shot, sintésis cross-language, sareng kontrol emosi granular. Éta langkung saé tibatan seueur sistem TTS komersial dina evaluasi subjektif.
Alibaba (Tongyi Lab)
Apache 2.0
Medium
en, zh, ja, ko, fr, de, it, es
4GB
Iya
2
Dia TTS
Standard
Dia ku Nari Labs nyaéta model teks-ka-wacana parameter 1.6B anu dirancang hususna pikeun ngahasilkeun dialog multi-pangucapan. Éta tiasa ngahasilkeun percakapan anu sorana alami antara dua pangucapan kalayan giliran anu pas, prosody, sareng ekspresi émosional. Dia sampurna pikeun nyiptakeun isi gaya podcast, dialog buku audio, sareng AI percakapan interaktif.
Nari Labs
Apache 2.0
Medium
en
4GB
Ora
2
Parler TTS
Standard
Parler TTS nyaéta model teks-ka-wacana anu ngagunakeun deskripsi sora basa alami pikeun ngaontrol wacana anu dihasilkeun. Salian ti milih ti sora anu ditangtukeun, anjeun ngajelaskeun sora anu anjeun pikahoyong (misalna, "suara awéwé anu haneut kalayan aksen Inggris anu leutik, nyarita lambat sareng jelas") sareng Parler ngahasilkeun wacana anu cocog sareng deskripsi éta. Ieu ngajadikeun éta unik fleksibel pikeun aplikasi kreatif.
Hugging Face
Apache 2.0
Medium
en
4GB
Ora
2
IndexTTS-2
Standard
IndexTTS-2 nyaéta sistem téks-ka-wacana anu maju anu unggul dina sintésis sora zero-shot kalayan kontrol emosi anu saé. Éta tiasa ngahasilkeun wacana kalayan nada emosi khusus sapertos senang, sedih, marah, atanapi takut tanpa peryogi data pelatihan emosi khusus. Modelna nganggo vektor emosi pikeun ngaontrol ekspresi emosi tina wacana anu dihasilkeun.
Index Team
Apache 2.0
Medium
en, zh
4GB
Iya
2
Spark TTS
Standard
Spark TTS ku SparkAudio nyaéta model teks-ka-wacana anu ngagabungkeun kloning sora sareng emosi anu tiasa dikontrol sareng gaya nyarios. Ngagunakeun ngan 5 detik audio rujukan, éta tiasa ngaklonkeun sora sareng teras ngahasilkeun wacana kalayan emosi, kecepatan, sareng gaya anu béda nalika ngajaga identitas sora anu dikloning. Spark TTS ngagunakeun sistem kontrol dumasar-prompt.
SparkAudio
Apache 2.0
Medium
en, zh
4GB
Iya
2
GPT-SoVITS
Standard
GPT-SoVITS ngagabungkeun modeling basa gaya GPT jeung SoVITS (Singing Voice Inference via Translation and Synthesis) pikeun kloning sora anu kuat. Ku kirang ti 5 detik audio rujukan, éta bisa kloning sora kalayan akurat sarta ngahasilkeun basa anyar bari ngalestarikeun ciri-ciri unik panyaturna. Éta unggul dina sintésis sora nyarios jeung nyanyi.
RVC-Boss
MIT
Slow
en, zh, ja, ko
6GB
Iya
2
Orpheus
Standard
Orpheus nyaéta model teks-ka-wacana skala-gede anu ngahasilkeun ekspresi emosi dina tingkat manusa. Dilatih dina leuwih ti 100.000 jam data wacana anu béda, éta unggul dina ngahasilkeun wacana kalayan emosi alami, penekanan, sarta gaya wacana. Orpheus bisa ngahasilkeun wacana anu teu bisa dibédakeun ti rekaman manusa.
Canopy Labs
Llama 3.2 Community
Medium
en
4GB
Ora
2
Chatterbox
Premium
Chatterbox ku Resemble AI mangrupakeun model kloning sora zero-shot pangénggalna. Ieu bisa ngareplikasi sora mana wae ti sampel audio tunggal kalayan akurasi anu luar biasa, henteu ngan ukur ngarekam timbre tapi ogé gaya nyarita sareng nuansa émosional. Chatterbox ogé mibanda kontrol émosional granular-fine, ngamungkinkeun anjeun ngawatesan nada émosional tina pidato anu dihasilkeun sacara mandiri tina identitas sora.
Resemble AI
MIT
Medium
en
4GB
Iya
4
Tortoise TTS
Premium
Tortoise TTS nyaéta sistem teks-ka-wacana multi-suara anu auto-regresif anu ngutamakeun kualitas audio dibandingkeun kacepetan. Éta ngagunakeun arsitektur anu diilhami ku DALL-E pikeun ngahasilkeun wacana anu sangat alami kalayan prosody anu saé sareng kesamaan pembicara. Sedengkeun langkung lambat tibatan seueur alternatif, Tortoise ngahasilkeun sababaraha wacana sintétik anu paling nyata anu sayogi dina ekosistem sumber terbuka.
James Betker
Apache 2.0
Slow
en
8GB
Iya
4
StyleTTS 2
Premium
StyleTTS 2 ngahasilkeun sintésis TTS tingkat manusa ku ngagabungkeun difusi gaya sareng latihan lawan nganggo model basa basa ageung. Éta ngahasilkeun basa anu paling alami diantarana model panyatur tunggal, ngalawan rékaman manusa. StyleTTS 2 ngagunakeun model gaya dumasar-difusi pikeun ngamangpaatkeun sadaya variasi basa manusa.
Columbia University
MIT
Medium
en
4GB
Ora
4
OpenVoice
Premium
OpenVoice ku MyShell.ai ngamungkinkeun kloning sora langsung kalayan kontrol granular kana gaya sora, emosi, aksen, ritme, pause, jeung intonasi. Éta tiasa kloning sora ti klip audio pondok sarta ngahasilkeun basa dina sababaraha basa bari ngajaga identitas panyatur. OpenVoice ogé fungsina salaku konvertor sora, ngamungkinkeun transformasi sora waktu nyata.
MyShell.ai / MIT
MIT
Medium
en, zh, ja, ko, fr, de, es, it
4GB
Iya
4
Qwen3 TTS
Standard
Qwen3-TTS nyaéta 1.7 milyar parameter teks-ka-wacana model ti Alibaba's Qwen tim. Ieu ngadukung tilu mode: preset sora jeung emotion kontrol (9 speakers), kloning sora ti ngan 3 detik tina audio, jeung hiji unik mode desain sora dimana anjeun ngajelaskeun sora anjeun hayang dina basa alami. Ieu ngawengku 10 basa kalawan ekspresi tinggi jeung prosody alami.
Alibaba (Qwen)
Apache 2.0
Medium
en, zh, ja, ko, de, fr, ru, pt, es, it
7GB
Iya
2
Sesame CSM
Premium
Sesame CSM (Conversational Speech Model) nyaéta model 1 milyar parameter anu dirancang hususna pikeun ngahasilkeun basa konversasi. Ieu ngamodelkeun pola alami tina basa konversasi manusa kaasup waktu-tempoan, tanggapan backchannel, reaksi émosional, jeung aliran basa konversasi. CSM ngahasilkeun audio anu sorana saperti basa konversasi manusa alami tibatan basa 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
Iya
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
Iya
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
Iya
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
Iya
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
Iya
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
Iya
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
Iya
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
Iya
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
Tabel Perbandingan Model
| Model | Pangembang: | Tingkat | Kualitas: | Kecepatan | basa | Kloning Suara | VRAM | Lisensi: | credits | |
|---|---|---|---|---|---|---|---|---|---|---|
| Kokoro | Hexgrad | Free | Fast | 11 | 1.5GB | Apache 2.0 | Bebas | Pangguna | ||
| Piper | Rhasspy | Free | Fast | 31 | 0 (CPU only) | MIT | Bebas | Pangguna | ||
| VITS | Jaehyeon Kim et al. | Free | Fast | 4 | 1GB | MIT | Bebas | Pangguna | ||
| MeloTTS | MyShell.ai | Free | Fast | 6 | 0.5GB (GPU optional) | MIT | Bebas | Pangguna | ||
| Bark | Suno | Standard | Slow | 13 | 5GB | MIT | 2 | Pangguna | ||
| Bark Small | Suno | Standard | Medium | 13 | 2GB | MIT | 2 | Pangguna | ||
| CosyVoice 2 | Alibaba (Tongyi Lab) | Standard | Medium | 8 | 4GB | Apache 2.0 | 2 | Pangguna | ||
| Dia TTS | Nari Labs | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | Pangguna | ||
| Parler TTS | Hugging Face | Standard | Medium | 1 | 4GB | Apache 2.0 | 2 | Pangguna | ||
| IndexTTS-2 | Index Team | Standard | Medium | 2 | 4GB | Apache 2.0 | 2 | Pangguna | ||
| Spark TTS | SparkAudio | Standard | Medium | 2 | 4GB | Apache 2.0 | 2 | Pangguna | ||
| GPT-SoVITS | RVC-Boss | Standard | Slow | 4 | 6GB | MIT | 2 | Pangguna | ||
| Orpheus | Canopy Labs | Standard | Medium | 1 | 4GB | Llama 3.2 Community | 2 | Pangguna | ||
| Chatterbox | Resemble AI | Premium | Medium | 1 | 4GB | MIT | 4 | Pangguna | ||
| Tortoise TTS | James Betker | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | Pangguna | ||
| StyleTTS 2 | Columbia University | Premium | Medium | 1 | 4GB | MIT | 4 | Pangguna | ||
| OpenVoice | MyShell.ai / MIT | Premium | Medium | 8 | 4GB | MIT | 4 | Pangguna | ||
| Qwen3 TTS | Alibaba (Qwen) | Standard | Medium | 10 | 7GB | Apache 2.0 | 2 | Pangguna | ||
| Sesame CSM | Sesame | Premium | Slow | 1 | 8GB | Apache 2.0 | 4 | Pangguna |
Platform teks-ka-ucapan AI sing paling komprehensif
Kenapa milih TTS.ai kanggo teks kanggo swara?
TTS.ai nggabungake donya
Satiap model nyaéta sumber terbuka di handapeun MIT, Apache 2.0, atawa lisénsi permisif anu sami, ngajamin anjeun gaduh hak komersial lengkep pikeun ngagunakeun audio anu dihasilkeun dina proyék anjeun. Naha anjeun peryogi sintésis gancang, ringan pikeun aplikasi real-time atanapi output kualitas studio premium pikeun buku audio sareng podcast, TTS.ai ngagaduhan model anu leres pikeun unggal kasus panggunaan.
Free Models, Ora Akun Diperlukan
Dimimitian langsung ku tilu model TTS gratis: Piper (ultra-handap, leutik), VITS (sintésis neural kualitas luhur), sarta MeloTTS (pangrojong multi-basa). Teu aya ngadaptar, teu aya kartu kredit, teu aya watesan dina generasi. Model gratis ngadukung basa Inggris jeung loba basa séjén kalayan hasilna sora alami cocog pikeun kabéh aplikasi.
Proses GPU-Accelerated
Sadaya model TTS dijalankeun dina GPU NVIDIA anu didedikasikeun pikeun waktos generasi anu gancang sareng konsisten. Model gratis biasana ngahasilkeun audio dina kirang ti 2 detik. Model standar sapertos Kokoro, CosyVoice 2, sareng Bark rata-rata 3-5 detik. Model premium kalayan kualitas pangluhurna, sapertos Tortoise sareng Chatterbox, diproses dina 5-15 detik gumantung kana panjang teks.
30+ basa sing didhukung
Ngahasilkeun basa dina leuwih ti 30 basa, kaasup basa Inggris, Spanyol, Perancis, Jerman, Italia, Portugis, Cina, Jepang, Korea, Arab, Hindi, Rusia, jeung sajabana. Aya sababaraha model anu ngadukung sintésis basa-basa, hartina anjeun bisa ngahasilkeun basa dina basa anu sora aslina teu pernah diajarkeun. CosyVoice 2 jeung GPT-SoVITS unggul dina kloning sora basa-basa.
Developer-Ready
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