Persian متن کان ڳالھائڻName

موڙ Persian AI آوازن سان متن کي قدرتي ڳالھائڻ ۾ تبديل ڪريو. 1 آواز. مفت، ڪا به رجسٽريشن نه — MP3 يا WAV طور ڊائون لوڊ ڪريو.

رجسٽر ٿيو 5000 ڪارڪنن جي حد

صحيح ڪنٽرول لاءِ پنھنجو متن SSML ٽيگ ۾ ويڙھيو:

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

ٽيگ جيڪي چونڊيل ماڊل سمجھي ٿو - هڪ کي پنھنجي متن ۾ جتي ٿئي ٿو ڦيريڻ لاءِ ڪلڪ ڪريو:

هي ماڊل عام متن پڙهندو آھي، تنھنڪري لاٽ ۾ ٽيگ نظرانداز ڪيا ويندا آھن. ٽيگ تي ٻڌل احساسن لاءِ، ھڪ اظهاري ماڊل وانگر Orpheus يا Bark تي تبديل ڪريو.

پنھنجو آواز بيان ڪريو (شيء = آواز):

-12 +12
0.5x 2.0x
پيپر، VITS، MeloTTS سان مفت
پنھنجو ٺاھيل آڊيو اتي نظر ايندو. ھڪ ماڊل چونڊيو، متن داخل ڪريو ۽ ٺاھڻ دٻايو.
آڊيو ڪاميابي سان ٺاهيو ويو
0:00
آڊيو ڊائون لوڊ ڪريو ڊائون لوڊ لنڪ 24 ڪلاڪن ۾ ختم ٿيندو
مفت ٽائير: ذاتي استعمال. $5/مھينن کان تجارتي لائسنس
TTS.ai کي پيارو آهي؟ پنھنجن دوستن کي چئو!

بابت Persian متن کي ڳالھائڻ لاءِ

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.

نمونو — فارسی

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

مقامي نالو
فارسی
اسپيڪر
~80 million native speakers
ٻولي جو خاندان
Indo-Iranian (Indo-European)
اسڪرپٽ
Perso-Arabic (right-to-left)
ڳالهائيندڙ
Iran, Afghanistan (Dari), Tajikistan (Tajik)

1 Persian آواز

Amir (Persian)

Piper
مفت Male

جيڪي ماڻھو استعمال ڪندا آھن Persian متن کي ڳالھائڻ لاءِ

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 متن کي ڳالھائڻ لاءِ

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.

لاڳاپيل ٻوليون