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Denne model læser almindelig tekst, så inline tags ignoreres. For tag-baserede følelser, skifte til en ekspressiv model som Orpheus eller Bark.
Natural-language levering cues. Æret af Qwen3-TTS i dag; andre udtryksfulde modeller kommer snart.
Denne model understøtter ikke style instruktioner! skifte til en model, der gør (f.eks Qwen3-TTS).
Definer brugerdefinerede udtaler (ord = udtale):
-12
+12
Kontrollerer udtryksfuldhed (0 = neutral, 1 = meget udtryksfuld)
Classifier-fri vejledning vægt (højere = mere hurtig-følgende)
Beskriv stemmestilen i naturligt sprog (Parler bruger dette i stedet for forudindstillede stemmer)
Dia- dialogformat: Brug [S1] og [S2] tags til at markere forskellige højttalere. Eksempel: [S1] Hej der! [S2] Hej, hvordan har du det?
Dette er en premium stemmemodel, tilgængelig på enhver betalt plan. Du kan stadig få vist sine stemmer gratis med play-knappen ved siden af stemmevælgeren.
Urdu text-to-speech has to solve a problem most languages hand the model for free: the vowels are largely not written. Everyday Urdu omits the short-vowel diacritics, so the same consonant skeleton can be read several ways and the synthesizer must infer the intended vowels from context and word shape before it can pronounce anything at all. On top of that the language is written right-to-left in the cursive Nastaʿlīq style, draws its formal vocabulary from Persian and Arabic while sharing an everyday spoken core with Hindi, and preserves the aspirated and retroflex consonant contrasts of its Indo-Aryan family. Get those right and Urdu synthesis is genuinely useful: it reaches an audience where listening often beats reading, which is why demand comes from news, education, public-service messaging, and telecom IVR across Pakistan and the diaspora.
Prøve — اردو
“متن سے آواز میں تبدیلی کی ٹیکنالوجی طالب علموں اور پیشہ ور افراد کو اپنی تحریریں آسانی سے سننے میں مدد دیتی ہے۔”
Navn
اردو
Højttalere
Around 230 million speakers worldwide, the national language of Pakistan and one of India’s scheduled languages
Sprogfamilie
Indo-Aryan (Indo-European)
Script
Perso-Arabic (Nastaʿlīq style)
Talt i
Pakistan, northern and central India, and large diaspora communities in the United Kingdom, the Gulf states, and North America
News and current-affairs narration for Pakistani and Indian audiences
Educational and literacy content where listening outperforms reading
Government and public-health announcements
Telecom and banking IVR across Pakistan
Audiobooks and poetry, a form with deep roots in Urdu literary culture
Urdu Tekst til tale FAQ
The model learns the vowel patterns from context rather than from the text itself. Because everyday Urdu omits the short-vowel diacritics, pronunciation depends on recognising the word and its grammatical role, which is exactly what a trained neural voice does well. Adding diacritics is not required, though unusual proper nouns and rare loanwords are the most likely places to hear an unexpected reading.
In casual speech the two share a large common core and are broadly mutually intelligible, but for synthesis they are not interchangeable. They use different scripts, and Urdu draws its formal and literary vocabulary from Persian and Arabic where Hindi draws on Sanskrit. A Hindi voice cannot read the Perso-Arabic script at all, so Urdu needs its own voice.
It reflects standard Pakistani Urdu, the register used in broadcasting and education. Regional accents across Pakistan and India vary considerably, but the standard is the form most listeners expect from news and formal narration.
Yes. Script direction affects how text is displayed, not the order in which it is spoken. Paste Urdu text as you normally write it and the voice reads it in the correct spoken order, including embedded numbers and Latin-script brand names.
