In Arabic: تحويل النص إلى صوت (TTS)
Text to speech and voice AITechnology that reads written text aloud in a synthetic human voice and outputs an audio file. For Arabic, quality depends on how well the engine handles missing diacritics, numbers and the dialect you want.
Text to speech built on neural networks trained on many hours of human speech, so intonation and pauses are generated rather than stitched together from recorded fragments. It is why modern AI voices sound far closer to a real narrator than older robotic systems.
The rise and fall, speed, rhythm and stress of speech. It is what makes the same words sound like a question, a statement or excitement, and weak prosody is the quickest giveaway of a low-quality synthetic voice.
The step where a speech engine turns numbers, dates, currencies and abbreviations into words before reading them. Arabic makes it harder because numbers agree in gender and case with the noun they count.
The smallest unit of sound that changes a word's meaning when swapped. Some TTS tools let you spell a word in phonemes to fix one the engine keeps mispronouncing.
A saved list of how specific words should be said, such as brand names, people's names and foreign terms, which the engine applies automatically wherever the word appears.
A reading-speed measure used to estimate how long a voiceover will run from its script. English voiceover sits around 150 words per minute; Arabic counts fewer words because pronouns and prepositions attach to the word itself.
Write your script, pick the dialect and voice, and download the file in minutes. Start free; paid plans from $1/month.