Ka tūwhera te pūtake o te kupu ki ngā tauira kōrero
He pūtake tūwhera ia tauira TTS i runga i a tātau pūnaha me ngā whakaaetanga whai tikanga. MIT, Apache 2.0 — kāore he kati ā-whāinga, kāore he whakawhāititanga whakamahinga, kāore he utu whakaaetanga tūkino. Ka whakamahia rātau mā tātau API hosta, ka noho rātau rānei i runga i tātau ake hanganga me te mana katoa.
Ka whakamātautia ināianei
Ko nga painga o te pūtake tūwhera TTS
He aha te tikanga o ngā tauira pūtake tūwhera mō ōna kaupapa?
Ko nga mea katoa kua whakaaetia e te pūtake tūwhera
Ko ia tauira i runga i te TTS.ai e whakamahi ana i tētahi whakaaetanga pūtake tūwhera. Kāore he kāwai mārō whai mana, kāore he kati tāngata, kāore he utu whakaaetanga kāore i te tūmanako.
MIT / Apache
Kua whakaaetia ngā tauira i raro i te MIT, i te Apache 2.0 rānei, ko ngā whakaaetanga pūtake tūwhera tino whakaaetia. Ka whakamahia ki te hokohoko, te whakarerekētanga, te tuaritanga anō — kāore he rāhuitanga.
Kātahi anō ka whakahohe
Ka whakataki i tētahi tauira me te whakahaere i ia i runga i ōna ake pūrere. Ka tino whakahaeretia ōna raraunga, te ātetetanga, me te hanganga. Kāore e hiahiatia te whakawhirinaki ki te mātao.
Kua pai ake te GPU
Kua whakaritea ngā tauira mō ngā GPU NVIDIA me te tautoko CUDA. Ka haere a Piper i runga i te CPU anake. E hiahiatia ana e te nuinga o ngā tauira he 2–8GB VRAM mō te whakawāteatanga mātauranga.
Ko te iwi i pupuritia
Ko ngā rōpū pūtake tūwhera hohe e pupuri ana, e whakarei ake ana hoki i ēnei tauira. E whakaaetia ana ngā koha — e tono ana i ngā hapa, ngā whakapainga, me ngā reo hōu i runga i te GitHub.
Ka tika te whakamahinga hokohoko
Ka whakaaetia e ngā tauira katoa te whakamahinga hokohoko i raro i to rātau whakaaetanga, te hanga hua, te hoko ratonga, me te waihanga ihirangi hokohoko kaore he utu utu, he utu whakamahi rānei.
Ko tātau pukapuka tauira pūtake tūwhera
He tauira ia tauira, tōna whakaaetanga, me te mea pai rawa e mahi ai.
Kokoro
Free
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
Ko te tino pai mo: Apache 2.0 — te tauira wātea pai rawa, 82M ngā tohu, he ngāwari ki te whakanoho i a ia anō
Whakamātautau Kokoro
Piper
Free
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
Ko te tino pai mo: MIT — CPU- anake, tino pai mo ngā pūrere perehitini me te whakahoahoa ā-hinengaro
Whakamātautau Piper
VITS
Free
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
Ko te tino pai mo: MIT — te hanganga taketake e whakamahia ana e ngā tauira maha o raro.
Whakamātautau VITS
Bark
Standard
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
Ko te tino pai mo: MIT — ngā āheinga whakanao oro motuhake i tua atu i te TTS paerewa
Whakamātautau Bark
Tortoise TTS
Premium
Multi-voice text-to-speech focused on quality with autoregressive architecture.
Ko te tino pai mo: Apache 2.0 — te pai rawa, te whakatinanatanga tohutoro whānui i akona
Whakamātautau Tortoise TTS
OpenVoice
Premium
Instant voice cloning with granular control over style, emotion, and accent.
Ko te tino pai mo: MIT — te tārua reo pūtake tūwhera me te whakahaere kāhua matatini
Whakamātautau OpenVoiceHe pēhea te whakamahi i te pūtake tūwhera TTS
Ka whakamahia tātau te API kaihautū, ka whakahaere rānei i ngā tauira ki a koe
E torotoro ana i ngā tauira pūtake tūwhera
Ka tirohia tātau pukapuka o ngā tauira TTS pūtake tūwhera 20+. Ka whakaaturia e ia pātū tauira te whakaaetanga, te hanganga, ngā āheinga, me ngā whakaritenga whakahoahoa.
Ka whakamātau i roto i tō tou kaitirotiro
Whakamātautau i tētahi tauira hāngai i runga i te TTS.ai me te kore whakatū i tētahi mea. Ka whakahaeretia e a tātau pūnaha GPU te tukanga kia taea ai e koe te arotake i te kounga i mua i te whakawhiwhinga ki te whakawhiwhinga.
Māna-māna, Ka whakamahia rānei tātau API
Ko te tārua o ngā tāurunga tauira mai i te GitHub me te whakahaere ā-rohe, te whakamahi rānei i tātau API kaihautū mō te whakanaotanga. Ka hoatu e te kaihautū anō te mana katoa; Mā tātau API e whakarato ana i te hanganga whakahaere.
Hanganga i ōna taupānga
Ko te whakaurutanga o TTS ki roto i tōna hua mā te whakamahi i ngā tauira whaimana, mā tātau rānei REST API. Ka taea te whakamahi i ngā tauira katoa me te kore utu whakaaetanga, royalties rānei.
Tērā te whakataurite waehere
Ko ngā tauira katoa i runga i te TTS.ai e whakamahi ana i ngā whakaaetanga pūtake tūwhera ā-pūnaha
| Kāhua | Whakawhiwhinga | Ka whakamahia ki te hokohoko | Ka whakakētia | Māmā te kaihautū | Whakawhiwhinga |
|---|---|---|---|---|---|
| Kokoro | Apache 2.0 | E hiahiatia ana | |||
| Piper | MIT | Ka taea | |||
| VITS | MIT | Ka taea | |||
| MeloTTS | MIT | Ka taea | |||
| Chatterbox | MIT | Ka taea | |||
| Tortoise TTS | Apache 2.0 | E hiahiatia ana | |||
| StyleTTS 2 | MIT | Ka taea | |||
| OpenVoice | MIT | Ka taea | |||
| Sesame CSM | Apache 2.0 | E hiahiatia ana | |||
| Orpheus | Llama 3.2 | "Built with Llama" |
Hopu vs Hosted API
Ka whakahaere i ngā tauira koe, ka whakaae rānei kia whakahaeretia e tātau te hanganga
Māna anō te kaihautū i runga i ōna pūrere
Kei te wātea ia tauira i runga i te TTS.ai hei kaupapa pūtake tūwhera i runga i te GitHub, i te Hugging Face rānei. Whakataki i ngā taumahatanga, te whakatū i ngā whakawhirinaki, me te whakahaere i te whakawāteatanga i runga i ōna GPU ake. He mana katoa tātou i runga i te ātetetanga, te ātetetanga, me te tauinetanga.
- Ko te ātetetanga raraunga katoa — kāore te oro i tae atu ki tōna pūnaha
- Kāore he utu-i-te tono i muri i te whakaritenga tuatahi
- He tino tika te whakarerekētanga i runga i ōna raraunga
- E hiahiatia ana ngā pūrere GPU (e whakaritea ana e NVIDIA)
- Ka whakahaeretia e koe ngā whakahōutanga, te tauine, me ngā whakawhirinaki
Ka whakamahia te TTS.ai Hosted API
Ka whiwhi āheitanga tere ki ngā tauira 24+ katoa mā tētahi API REST kotahi. Ka whakahaeretia e tātau te GPU, ngā whakahōutanga tauira, te whakahaere kōwae, me te tauinetanga. Ko te kī API kotahi e whakarato ana i te āheitanga ki ia tauira — kāore e hiahiatia kia whakahaeretia ngā whakawhānuitanga motuhake.
- Kāore he rauemi GPU e hiahiatia ana
- Ko ngā tauira katoa 24+ mā te API kotahi
- Whakahōutanga tauira me ngā whakapainga
- 99.9% uptime me te hanganga nui rawa
- Ko te utu anake mo te mea e whakamahia ana e koe
Ka tīmata tere: API, Māna rānei te kaihautū
Ka whakamahia tātau te API kaihautū, ka whakatū ā-rohe rānei a Kokoro i roto i ngā minu
import requests
response = requests.post("https://api.tts.ai/v1/tts", json={
"text": "Open source TTS with a simple API.",
"model": "kokoro",
"voice": "af_heart",
"format": "wav"
}, headers={"Authorization": "Bearer YOUR_API_KEY"})
with open("output.wav", "wb") as f:
f.write(response.content)# Install Kokoro locally
pip install kokoro
# Generate speech on your own GPU
import kokoro
pipeline = kokoro.KPipeline(lang_code="a")
generator = pipeline("Hello from your own server!", voice="af_heart")
for i, (gs, ps, audio) in enumerate(generator):
kokoro.save(audio, f"output_{i}.wav")Māmā te pūtake, te utu ā-ringa
Ka taea e tātau te hopu i te TTS pūtake tūwhera me te kore whakahaere i ngā GPUs.
Waihoki
$0
50 ngā pūtea i te whakaingoatanga
- 4 ngā tauira pūtake tūwhera
- Kāore he whakaingoatanga mō te whakamahinga taketake
- Ka whakaaetia te whakamahinga hokohoko
Ka tīmata
$9
500 ngā pūtea/whā
- Ko ngā tauira pūtake tūwhera katoa 24+
- Ko te tārua reo
- Ka uru ki te API
Pro
$29
2000 ngā pūtea/whā
- Whakahaeretanga GPU arotahi
- Ko nga tauira katoa
- Mā te tautoko pāpori
E pā ana ngā pātai
Ko ngā pātai noa iho mo te kupu pūtake tūwhera ki te kōrero
Whakamātau i te pūtake tūwhera TTS i tēnei rā
24+ ngā tauira pūtake tūwhera, e whakaaetia ana katoa. Ka whakamahia e tātau te API, te kaihautū anō rānei — ko te kōwhiringa ko tātau.