Piper TTS
A fast, CPU-only neural TTS engine from Rhasspy that runs entirely offline, even on a Raspberry Pi.
Whakawhanake mō te tepe o ngā tohu 5,000
Whāriki i tōna kupu i roto i ngā tohu SSML mō te whakahaere tika:
<speak><prosody rate="slow">Slow speech</prosody></speak>
E mōhio ana ngā tohu ki te tauira i kōwhiria - ka kōwhiria kia whakawātea tētahi ki roto i tōna kupu i reira ka puta ai:
Ka pānui tēnei tauira i te kupu noa, nā reira ka whakakāhoretia ngā tohu ā-waitara. Mō te āhua o te tohu-taihi, ka huri ki tētahi tauira whakamārama pēnei i a Orpheus, Bark rānei.
Ka tautuhia ngā tohutohu ā-ringa (wāhi = tohutohu):
-12
+12
0.5x
2.0x
Waihoki me Piper, VITS, MeloTTS
Ka puta tēnei te oro i waihangatia e koe. Ka kōwhiria tētahi tauira, ka tāurua te kupu, a, ka kōwhiria te Whakatū.
Kāore te whakatūnga i angitu
Kua angitu te whakaputanga oro
Tauwhāinga wātea: te whakamahinga whaiaro. Whakawhiwhinga hokohoko mai i te $5/mo
E whakarewa ana i ngā āhuahira wātea
Ki te whiwhi 200K ngā pūāhua i ia marama — $5/mo
he paki 100K kotahi rānei mō te $5
Ka mahi tēnei i tō tou oro
Ko te reo i roto i te 30 sekona
Mo Piper
Piper was built by the Rhasspy project to bring neural text-to-speech to edge devices that have no GPU. It pairs a VITS-style synthesizer with the Larynx pipeline and runs as a compact ~15M-parameter ONNX model directly on CPU, so synthesis happens locally with no cloud round-trip. Its strength is breadth and footprint: over 100 voices spanning 35+ languages at real-time speed on hardware as modest as a Pi 4. That makes it the practical default for home automation, accessibility readers, and offline kiosks where latency, privacy, and zero hosting cost matter more than studio polish.
Pai mo: Quick previews, accessibility, and embedded applications
Ka tirohia katoa Piper ngā oroI te tirohanga
- Ka whakawhanakehia
- Rhasspy
- Ka taea te whakawātea
- MIT (engine); voice licenses vary
- Karaka
- free
- Āhuatanga
- fast
- Whakakōrero reo
- Kāore
- reo
- English, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Russian, Chinese, Arabic, Czech, Danish, Finnish, Greek, Hungarian, Icelandic, Georgian, Kazakh, Nepali, Norwegian, Romanian, Slovak, Serbian, Swedish, Swahili, Turkish, Ukrainian, Vietnamese, CA, CY, FA, Latvian, Slovenian, LB, Basque, Indonesian, Kurdish, Malayalam, Albanian, Telugu, Urdu
- Kāri nui rawa
- 2000
Piper ngā oro
Aegis (Urdu)
Urdu
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Aivars (Latvian)
Latvian
Waihoki
Male
Alan (UK)
English
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Alba (UK)
English
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Amir (Persian)
fa
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Amy (US)
English
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Anna (Hungarian)
Hungarian
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Antton (Basque)
Basque
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Artur (Slovenian)
Slovenian
Waihoki
Male
Berfin (Kurdish)
Kurdish
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
DFKI (Turkish)
Turkish
Waihoki
Neutral
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Darkman (Polish)
Polish
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Denis (Russian)
Russian
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Dutch (MLS)
Dutch
Waihoki
Neutral
Edon (Albanian)
Albanian
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Faber (Portuguese)
Portuguese
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Fasih (Urdu)
Urdu
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Google (Nepali)
Nepali
Waihoki
Neutral
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Gor (Armenian)
hy
Waihoki
Male
Gwryw (Welsh)
cy
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Harri (Finnish)
Finnish
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Huayan (Chinese)
Chinese
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Issai (Kazakh)
Kazakh
Waihoki
Neutral
Jenny (UK)
English
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Jirka (Czech)
Czech
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Joe (US)
English
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Kareem (Arabic)
Arabic
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Lada (Ukrainian)
Ukrainian
Waihoki
Female
Lanfrica (Swahili)
Swahili
Waihoki
Neutral
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Lessac (US)
English
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Lili (Slovak)
Slovak
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Maider (Basque)
Basque
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Marylux (Luxembourgish)
lb
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Mihai (Romanian)
Romanian
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
NST (Swedish)
Swedish
Waihoki
Neutral
Natia (Georgian)
Georgian
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
News (Indonesian)
Indonesian
Waihoki
Neutral
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Ona (Catalan)
ca
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Rapunzelina (Greek)
Greek
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Riccardo (Italian)
Italian
Waihoki
Male
Ryan (US)
English
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Salka (Icelandic)
Icelandic
Waihoki
Female
Serbian Institute
Serbian
Waihoki
Neutral
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Sharvard (Spanish)
Spanish
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Siwis (French)
French
Waihoki
Female
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Tale (Danish)
Danish
Waihoki
Neutral
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Tale (Norwegian)
Norwegian
Waihoki
Neutral
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Thorsten (German)
German
Waihoki
Male
Ko te whakamahinga whaiaro me te kore-whakaahua anake
VIVOS (Vietnamese)
Vietnamese
Waihoki
Neutral
Ko te whakamahinga whaiaro me te kore-whakaahua anake
Piper TTS - FAQ
No. Piper is CPU-only by design and uses 0 VRAM — it runs offline on embedded hardware like a Raspberry Pi 4 in real time, which is exactly what it was built for.
Only some voices. The Piper engine is MIT licensed, but each voice carries the license of the recordings it was trained on, and most Piper voices were trained on or fine-tuned from recordings licensed for non-commercial use. Those voices are marked "Personal and non-commercial use only" below and in the voice picker. On TTS.ai, audio from the other Piper voices is for personal use on the free tier and can be used commercially on any paid plan.
Piper offers 100+ voices across 35+ languages, including English, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Russian, Chinese, Arabic, Turkish, Ukrainian and many more. It supports SSML and handles up to 2,000 characters per request.