Táàbụ̀ nke móòdù ahụ a họọrọ na-aghọta - pịa ka ịkpụga otu n'ime ngwe gị ebe ọ na-eme:
Móòdù a na-agụ ngwe nkịtị, yabụ na a na-ewepụta inline táàbụ̀. Maka táàbụ̀-n'okpuru n'émóòdù, gbanwee ka móòdù na-egosi ihe dịka Orpheus mọọbụ Bark.
Nhazi asụsụ-na-abịa. Ekwenyere ya site na Qwen3-TTS taa; ndị ọzọ na-egosi ụdị ga-abịa n'oge na-adịghị anya.
Móòdù a na-akwadoghị iwú sítaịlụ — gbanwee ka módù nke na-eme ya (eg Qwen3-TTS).
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.
Ọkachasị maka: Quick previews, accessibility, and embedded applications
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Aivars (Latvian)
Latvian
FreeMale
Alan (UK)
English
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Alba (UK)
English
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Amir (Persian)
fa
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Amy (US)
English
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Anna (Hungarian)
Hungarian
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Antton (Basque)
Basque
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Artur (Slovenian)
Slovenian
FreeMale
Berfin (Kurdish)
Kurdish
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
DFKI (Turkish)
Turkish
FreeNeutralOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Darkman (Polish)
Polish
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Denis (Russian)
Russian
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Dutch (MLS)
Dutch
FreeNeutral
Edon (Albanian)
Albanian
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Eva (German)
German
FreeFemale
Faber (Portuguese)
Portuguese
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Fasih (Urdu)
Urdu
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Google (Nepali)
Nepali
FreeNeutralOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Gor (Armenian)
hy
FreeMale
Gwryw (Welsh)
cy
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Harri (Finnish)
Finnish
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Huayan (Chinese)
Chinese
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Issai (Kazakh)
Kazakh
FreeNeutral
Jenny (UK)
English
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Jirka (Czech)
Czech
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Joe (US)
English
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Kareem (Arabic)
Arabic
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Lada (Ukrainian)
Ukrainian
FreeFemale
Lanfrica (Swahili)
Swahili
FreeNeutralOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Lessac (US)
English
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Lili (Slovak)
Slovak
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Maider (Basque)
Basque
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Marylux (Luxembourgish)
lb
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Mihai (Romanian)
Romanian
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
NST (Swedish)
Swedish
FreeNeutral
Natia (Georgian)
Georgian
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
News (Indonesian)
Indonesian
FreeNeutralOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Ona (Catalan)
ca
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Rapunzelina (Greek)
Greek
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Rdh (Dutch, Flemish)
Dutch
FreeMale
Riccardo (Italian)
Italian
FreeMale
Ryan (US)
English
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Salka (Icelandic)
Icelandic
FreeFemale
Serbian Institute
Serbian
FreeNeutralOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Sharvard (Spanish)
Spanish
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Siwis (French)
French
FreeFemaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Tale (Danish)
Danish
FreeNeutralOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Tale (Norwegian)
Norwegian
FreeNeutralOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Thorsten (German)
German
FreeMaleOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
VIVOS (Vietnamese)
Vietnamese
FreeNeutralOge ọrụ nkeonwe na nke na-abụghị nke azụmahịa
Piper TTS - Ajụjụ ndị na-emekarị
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.