Arabic writing normally omits short vowels — فتحة, ضمة, كسرة, سكون — and readers infer them from context. That works fine for fluent readers, but is a nightmare for learners, text-to-speech systems, poetry recitation, and religious texts (Qur'an, hadith) where the exact vocalisation is doctrinally load-bearing.

What this tool does

Paste unvocalised Arabic into the input, click 'Add Tashkeel', and an AI model returns the same text with full diacritics applied (fatha, damma, kasra, sukun, tanwin, shadda). Punctuation and line breaks are preserved. Copy the result and paste it into your Word doc, PDF, WhatsApp, or slide.

Common uses

• Arabic learners — resolves ambiguous words while you build reading fluency.
• Teachers — prepare reading exercises with correct vocalisation.
• Poetry — display metrical rhymes precisely.
• TTS pipelines — many Arabic text-to-speech engines pronounce vocalised text noticeably better.
• Religious content — quick vocalisation for hadith and dua excerpts (double-check against a scholarly reference for Qur'anic verses).

Accuracy note

AI vocalisation is very good but not perfect — some words have multiple valid vocalisations depending on grammatical role (nominative vs accusative vs genitive), and edge cases in classical Arabic can require expert judgment. Treat the output as a strong first draft, not a final proof.