Text to Speech Mawakili wa AI Muziki Usemi kwa Maandiko Sauti Yaungana Ubuni wa Sauti Soko Na zaidi
Ripoti ya Mdudu / Ombi la Pekee
Piper

Piper TTS

A fast, CPU-only neural TTS engine from Rhasspy that runs entirely offline, even on a Raspberry Pi.

0/500 wahusika · Tia sahihi kwa 5,000 kwa kila kizazi →
Tia sahihi kwa kiwango cha tabia 5,000

Pakua maandishi yako katika tovuti ya SSML kwa ajili ya udhibiti sahihi:

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

Tag anaelewa mfano unaochaguliwa na unajibu ujumbe huu:

Mfano huu unasomeka maandishi rahisi, kwa hiyo alama za vidole hupuuzwa. Kwa hisia za ndani za watu, geukia kigezo kinachoonesha hisia kama Orfeus au Bark.

Matamshi ya desturi (neno = matamshi):

-12 +12
0.5x 2.0x
Nikiwa huru na Piper, VITS, MelloTTTS
Unaweza kuchagua mfano, maandishi, na kidofo kinachoitwa Genete.
Edio Iliyorekebishwa kwa Mafanikio
0:00
Paketi ya Audio Paketisha.srt Kiungo kinakufa mnamo 24
Safu huru: matumizi ya kibinafsi. Hati ya biashara kutoka dola 5/mo
Fanya hii sauti yako mwenyewe Chokoa sauti kwa sekunde 30
Waeleze rafiki zako kuhusu mapenzi ya TTS.ai?

Habari 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.

Bora kwa: Quick previews, accessibility, and embedded applications

Ng'ombe wote Piper sauti

Kutupia jicho

Mbuni
Rhasspy
Lenzi
MIT (engine); voice licenses vary
Tier
free
Mwendo
fast
Kufanyizwa kwa Sauti
Hapana
Lugha
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
Wahusika wa Max
2000

Piper sauti

Aegis (Urdu)

Urdu
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Aivars (Latvian)

Latvian
Huru Male

Alan (UK)

English
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Alba (UK)

English
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Amir (Persian)

fa
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Amy (US)

English
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Anna (Hungarian)

Hungarian
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Antton (Basque)

Basque
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Artur (Slovenian)

Slovenian
Huru Male

Berfin (Kurdish)

Kurdish
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

DFKI (Turkish)

Turkish
Huru Neutral Utumizi wa kibinafsi na usio wa kibiashara pekee

Darkman (Polish)

Polish
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Denis (Russian)

Russian
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Dutch (MLS)

Dutch
Huru Neutral

Edon (Albanian)

Albanian
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Faber (Portuguese)

Portuguese
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Fasih (Urdu)

Urdu
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Google (Nepali)

Nepali
Huru Neutral Utumizi wa kibinafsi na usio wa kibiashara pekee

Gor (Armenian)

hy
Huru Male

Gwryw (Welsh)

cy
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Harri (Finnish)

Finnish
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Huayan (Chinese)

Chinese
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Issai (Kazakh)

Kazakh
Huru Neutral

Jenny (UK)

English
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Jirka (Czech)

Czech
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Joe (US)

English
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Kareem (Arabic)

Arabic
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Lada (Ukrainian)

Ukrainian
Huru Female

Lanfrica (Swahili)

Swahili
Huru Neutral Utumizi wa kibinafsi na usio wa kibiashara pekee

Lessac (US)

English
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Lili (Slovak)

Slovak
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Maider (Basque)

Basque
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Marylux (Luxembourgish)

lb
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Mihai (Romanian)

Romanian
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

NST (Swedish)

Swedish
Huru Neutral

Natia (Georgian)

Georgian
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

News (Indonesian)

Indonesian
Huru Neutral Utumizi wa kibinafsi na usio wa kibiashara pekee

Ona (Catalan)

ca
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Rapunzelina (Greek)

Greek
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Riccardo (Italian)

Italian
Huru Male

Ryan (US)

English
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Salka (Icelandic)

Icelandic
Huru Female

Serbian Institute

Serbian
Huru Neutral Utumizi wa kibinafsi na usio wa kibiashara pekee

Sharvard (Spanish)

Spanish
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

Siwis (French)

French
Huru Female Utumizi wa kibinafsi na usio wa kibiashara pekee

Tale (Danish)

Danish
Huru Neutral Utumizi wa kibinafsi na usio wa kibiashara pekee

Tale (Norwegian)

Norwegian
Huru Neutral Utumizi wa kibinafsi na usio wa kibiashara pekee

Thorsten (German)

German
Huru Male Utumizi wa kibinafsi na usio wa kibiashara pekee

VIVOS (Vietnamese)

Vietnamese
Huru Neutral Utumizi wa kibinafsi na usio wa kibiashara pekee

Piper TTS ngumuSTEGAQ

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.
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