Piper

Piper TTS

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

Daftar masuk had 5,000 aksara

Lilitkan teks anda dalam tag SSML untuk kawalan tepat:

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

Tag model dipilih memahami - klik untuk jatuhkan satu ke dalam teks anda di mana ia berlaku:

Model ini membaca teks biasa, jadi tag dalam baris diabaikan. Untuk emosi berdasar tag, beralih ke model ekspresif seperti Orpheus atau Bark.

Tetapkan sebutan tersendiri (perkataan = sebutan):

-12 +12
0.5x 2.0x
Bebas dengan Piper, VITS, MeloTTS
Audio yang dijana akan muncul di sini. Pilih model, masukkan teks, dan klik Janakan.
Audio Dijana Dengan Berjaya
0:00
Muat turun Audio Muat turun.srt Pautan luput dalam 24 jam
Tahap percuma: penggunaan peribadi. Lesen Komersial dari $5/mo
Cinta TTS.ai? Beritahu kawan-kawan anda!

Tentang 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.

Terbaik untuk: Quick previews, accessibility, and embedded applications

Layari semua Piper suara

Dengan sekejap mata

Pemaju
Rhasspy
Lesen
MIT
Tajuk
free
Kelajuan
fast
Klon suara
Tidak
Bahasa
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
Aksara maksimum
2000

Piper suara

Aivars (Latvian)

Latvian
Bebas Male

Alan (UK)

English
Bebas Male

Alba (UK)

English
Bebas Female

Amir (Persian)

fa
Bebas Male

Amy (US)

English
Bebas Female

Anna (Hungarian)

Hungarian
Bebas Female

Artur (Slovenian)

Slovenian
Bebas Male

DFKI (Turkish)

Turkish
Bebas Neutral

Darkman (Polish)

Polish
Bebas Male

Denis (Russian)

Russian
Bebas Male

Dutch (MLS)

Dutch
Bebas Neutral

Faber (Portuguese)

Portuguese
Bebas Male

Google (Nepali)

Nepali
Bebas Neutral

Gwryw (Welsh)

cy
Bebas Male

Harri (Finnish)

Finnish
Bebas Male

Huayan (Chinese)

Chinese
Bebas Female

Issai (Kazakh)

Kazakh
Bebas Neutral

Jenny (UK)

English
Bebas Female

Jirka (Czech)

Czech
Bebas Male

Joe (US)

English
Bebas Male

Kareem (Arabic)

Arabic
Bebas Male

Lada (Ukrainian)

Ukrainian
Bebas Female

Lanfrica (Swahili)

Swahili
Bebas Neutral

Lessac (US)

English
Bebas Male

Lili (Slovak)

Slovak
Bebas Female

Marylux (Luxembourgish)

lb
Bebas Female

Mihai (Romanian)

Romanian
Bebas Male

NST (Swedish)

Swedish
Bebas Neutral

Natia (Georgian)

Georgian
Bebas Female

Ona (Catalan)

ca
Bebas Female

Rapunzelina (Greek)

Greek
Bebas Female

Riccardo (Italian)

Italian
Bebas Male

Ryan (US)

English
Bebas Male

Salka (Icelandic)

Icelandic
Bebas Female

Serbian Institute

Serbian
Bebas Neutral

Sharvard (Spanish)

Spanish
Bebas Male

Siwis (French)

French
Bebas Female

Tale (Danish)

Danish
Bebas Neutral

Tale (Norwegian)

Norwegian
Bebas Neutral

Thorsten (German)

German
Bebas Male

VIVOS (Vietnamese)

Vietnamese
Bebas Neutral

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.

Yes. Piper is released under the MIT license, so it is free to use in commercial and personal projects.

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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