Persian Tevere:

Kutenderera Persian Text Text kune zvakasikwa kutaura neAI mavo. 1 mazwi. Free, hapana kumbobvira kushanyira - download seMP3 kana WAV.

Kugadzwa for 5,000 character limit

Wrap yako tenzi mu SSML tags kuti zvive nyore kudzora:

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

Tags iyo yakasarudzwa model inonzwisiswa — tinya kuti utore imwe muchinyorwa chako apo inoitika:

Iyi modhi inoverenga chete mazita ezvinyorwa, saka zvinyorwa zvinonyorwa mumitsara hazvina kutariswa. Kuti uwane pfungwa dziri mumitsara, chinja kune imwe modhi inoratidza pfungwa seOrpheus kana Bark.

Define custom pronunciations (word = pronunciation):

-12 +12
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Free with Piper, VITS, MeloTTS
Yako yakagadzirwa audio ichaonekwa pano. Choose a model, enter text, and click Generate.
Audio Yakagadzirwa Nekubudirira
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Download Audio Dhawunirodha.srt Link inotanga kushanda mu 24h
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Love TTS.ai? Tiudza shamwari dzako!

Chii Persian Kushandura mashoko kuita mashoko

Persian text-to-speech has to reconcile a writing system that omits most short vowels: the Perso-Arabic script normally marks only long vowels, so a synthesizer must infer the missing /a/, /e/, /o/ diacritics from context to pronounce a word correctly. The text also runs right-to-left while embedded Latin numerals and loanwords run left-to-right, forcing the engine to handle bidirectional reordering before phonemization. The ezāfe construction — an unwritten linking vowel that binds nouns to their modifiers — is one of the hardest features to predict and a common source of robotic-sounding Persian audio. Good Persian TTS therefore depends as much on grapheme-to-phoneme modeling and diacritization as on the acoustic voice itself.

Sample — فارسی

“تبدیل متن به گفتار فارسی به نرم‌افزار اجازه می‌دهد نوشته‌ها را با صدایی طبیعی و روان بخواند.”

Chizvarwa
فارسی
Mupinde
~80 million native speakers
Chirungu
Indo-Iranian (Indo-European)
Script
Perso-Arabic (right-to-left)
Yakataurwa mu
Iran, Afghanistan (Dari), Tajikistan (Tajik)

1 Persian mazwi

Amir (Persian)

Piper
Free Male

Chii vanhu vanoshandisa Persian Kushandura mashoko kuita mashoko

Narration for Iranian e-learning and university lecture platforms
Voiceovers for Persian-language YouTube and Aparat content
Accessibility screen reading for low-vision Persian users
IVR and call-center prompts for businesses in Iran and the diaspora
Audio versions of Persian news articles and literary classics

Persian Text to Speech — FAQ

Yes. The engine processes the bidirectional layout of Perso-Arabic script and correctly handles embedded Latin numbers, dates, and loanwords so they are spoken in the right order.

Persian script rarely writes short vowels, so the system uses a grapheme-to-phoneme model that infers the missing /a/, /e/, and /o/ sounds and the ezāfe linker from surrounding context.

The voices are trained on standard Iranian Persian (Western Persian). They remain intelligible for Dari readers, but some Afghan pronunciations and vocabulary will follow the Iranian standard.

Yes. Persian uses many Arabic-derived words written with Arabic letters such as ث, ذ, and ض; the model maps these to their Persian pronunciations rather than their original Arabic phonemes.

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