Tags ang napili modelo nauunawaan — i-click upang ihulog ang isa sa iyong teksto kung saan ito ay nangyayari:
Ang modelong ito ay nagbabasa ng karaniwang teksto, kaya inline tags ay hindi pinapansin. Para sa tag-based na damdamin, lumipat sa isang makahulugang modelo tulad ng Orpheus o Bark.
Natural-language delivery cues. Pinarangalan ng Qwen3-TTS ngayon; iba pang mga masining na modelo darating sa lalong madaling panahon.
Ang modelong ito ay hindi sumusuporta sa mga tagubilin ng estilo — lumipat sa isang modelo na ginagawa (halimbawa Qwen3-TTS).
Tukuyin ang mga pasadyang mga panlapi (word = panlapi):
-12
+12
Controls katangian ng pagpapakita (0 = neutral, 1 = napaka-katangian ng pagpapakita)
Classifier-free gabay timbang (mas mataas = mas prompt-sunod)
Ipaliwanag ang estilo ng boses sa natural na wika (Parler gumagamit ito sa halip ng preset na boses)
Dia Dialog Format: Ang mga salitang ito ay maaaring isulat sa mga titik na [S1] at [S2]. Halimbawa: [S1] Hello there! [S2] Hi, how are you?
Ito ay isang premium na modelo ng boses, magagamit sa anumang bayad na plano. Maaari pa ring mag-preview ng mga boses nito nang libre sa play button sa tabi ng boses picker.
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.
Pinakamahusay para sa: Quick previews, accessibility, and embedded applications
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Aivars (Latvian)
Latvian
LibreMale
Alan (UK)
English
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Alba (UK)
English
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Amir (Persian)
fa
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Amy (US)
English
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Anna (Hungarian)
Hungarian
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Antton (Basque)
Basque
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Artur (Slovenian)
Slovenian
LibreMale
Berfin (Kurdish)
Kurdish
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
DFKI (Turkish)
Turkish
LibreNeutralPersonal at hindi pang-komersyal na paggamit lamang
Darkman (Polish)
Polish
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Denis (Russian)
Russian
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Dutch (MLS)
Dutch
LibreNeutral
Edon (Albanian)
Albanian
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Eva (German)
German
LibreFemale
Faber (Portuguese)
Portuguese
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Fasih (Urdu)
Urdu
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Google (Nepali)
Nepali
LibreNeutralPersonal at hindi pang-komersyal na paggamit lamang
Gor (Armenian)
hy
LibreMale
Gwryw (Welsh)
cy
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Harri (Finnish)
Finnish
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Huayan (Chinese)
Chinese
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Issai (Kazakh)
Kazakh
LibreNeutral
Jenny (UK)
English
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Jirka (Czech)
Czech
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Joe (US)
English
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Kareem (Arabic)
Arabic
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Lada (Ukrainian)
Ukrainian
LibreFemale
Lanfrica (Swahili)
Swahili
LibreNeutralPersonal at hindi pang-komersyal na paggamit lamang
Lessac (US)
English
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Lili (Slovak)
Slovak
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Maider (Basque)
Basque
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Marylux (Luxembourgish)
lb
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Mihai (Romanian)
Romanian
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
NST (Swedish)
Swedish
LibreNeutral
Natia (Georgian)
Georgian
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
News (Indonesian)
Indonesian
LibreNeutralPersonal at hindi pang-komersyal na paggamit lamang
Ona (Catalan)
ca
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Rapunzelina (Greek)
Greek
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Rdh (Dutch, Flemish)
Dutch
LibreMale
Riccardo (Italian)
Italian
LibreMale
Ryan (US)
English
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Salka (Icelandic)
Icelandic
LibreFemale
Serbian Institute
Serbian
LibreNeutralPersonal at hindi pang-komersyal na paggamit lamang
Sharvard (Spanish)
Spanish
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
Siwis (French)
French
LibreFemalePersonal at hindi pang-komersyal na paggamit lamang
Tale (Danish)
Danish
LibreNeutralPersonal at hindi pang-komersyal na paggamit lamang
Tale (Norwegian)
Norwegian
LibreNeutralPersonal at hindi pang-komersyal na paggamit lamang
Thorsten (German)
German
LibreMalePersonal at hindi pang-komersyal na paggamit lamang
VIVOS (Vietnamese)
Vietnamese
LibreNeutralPersonal at hindi pang-komersyal na paggamit lamang
Piper Mga katanungan at sagot
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.
Ipasok ang iyong email upang makakuha ng 15,000 libreng mga character at panatilihin ang pagbuo ng pagsasalita.
Walang kailangang password — ipapa-email sa iyo ang isang link upang magtakda ng isa mamaya.
Libreng Limita sa Antas Naabot
Ginamit mo na ang iyong 5,000 libreng araw-araw na mga character. Lumikha ng isang libreng account upang makakuha ng 15,000 bonus na mga character pati na rin ang 10,000 libreng mga character bawat buwan.
Naabot mo na ang iyong libreng limitasyon ng modelo. Mag-upgrade para sa higit pang mga character, o bumili ng isang character pack upang gamitin ang mga premium na modelo.