Piper

Piper TTS

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

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.

At a glance

Developer
Rhasspy
License
MIT
Tier
free
Speed
fast
Voice cloning
No
Languages
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
Max characters
2000

Piper AI Voices

Aivars (Latvian)

Latvian
Kigenga Male
Gukoresha

Alan (UK)

English
Kigenga Male
Gukoresha

Alba (UK)

English
Kigenga Female
Gukoresha

Amir (Persian)

fa
Kigenga Male
Gukoresha

Amy (US)

English
Kigenga Female
Gukoresha

Anna (Hungarian)

Hungarian
Kigenga Female
Gukoresha

Artur (Slovenian)

Slovenian
Kigenga Male
Gukoresha

DFKI (Turkish)

Turkish
Kigenga Neutral
Gukoresha

Darkman (Polish)

Polish
Kigenga Male
Gukoresha

Denis (Russian)

Russian
Kigenga Male
Gukoresha

Dutch (MLS)

Dutch
Kigenga Neutral
Gukoresha

Faber (Portuguese)

Portuguese
Kigenga Male
Gukoresha

Google (Nepali)

Nepali
Kigenga Neutral
Gukoresha

Gwryw (Welsh)

cy
Kigenga Male
Gukoresha

Harri (Finnish)

Finnish
Kigenga Male
Gukoresha

Huayan (Chinese)

Chinese
Kigenga Female
Gukoresha

Issai (Kazakh)

Kazakh
Kigenga Neutral
Gukoresha

Jenny (UK)

English
Kigenga Female
Gukoresha

Jirka (Czech)

Czech
Kigenga Male
Gukoresha

Joe (US)

English
Kigenga Male
Gukoresha

Kareem (Arabic)

Arabic
Kigenga Male
Gukoresha

Lada (Ukrainian)

Ukrainian
Kigenga Female
Gukoresha

Lanfrica (Swahili)

Swahili
Kigenga Neutral
Gukoresha

Lessac (US)

English
Kigenga Male
Gukoresha

Lili (Slovak)

Slovak
Kigenga Female
Gukoresha

Marylux (Luxembourgish)

lb
Kigenga Female
Gukoresha

Mihai (Romanian)

Romanian
Kigenga Male
Gukoresha

NST (Swedish)

Swedish
Kigenga Neutral
Gukoresha

Natia (Georgian)

Georgian
Kigenga Female
Gukoresha

Ona (Catalan)

ca
Kigenga Female
Gukoresha

Rapunzelina (Greek)

Greek
Kigenga Female
Gukoresha

Riccardo (Italian)

Italian
Kigenga Male
Gukoresha

Ryan (US)

English
Kigenga Male
Gukoresha

Salka (Icelandic)

Icelandic
Kigenga Female
Gukoresha

Serbian Institute

Serbian
Kigenga Neutral
Gukoresha

Sharvard (Spanish)

Spanish
Kigenga Male
Gukoresha

Siwis (French)

French
Kigenga Female
Gukoresha

Tale (Danish)

Danish
Kigenga Neutral
Gukoresha

Tale (Norwegian)

Norwegian
Kigenga Neutral
Gukoresha

Thorsten (German)

German
Kigenga Male
Gukoresha

VIVOS (Vietnamese)

Vietnamese
Kigenga Neutral
Gukoresha

Best for

Quick previews, accessibility, and embedded applications

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.
← All voices