Key Takeaways
Munsit is a new mobile and web app designed to provide fast, accurate, and reliable Arabic speech-to-text transcription for everyday use.
Generic voice tools fail because they don’t understand Arabic’s linguistic structure, the 25+ spoken dialects, or common code-switching with English.
Munsit is a dialect-first Arabic transcription app, trained on thousands of hours of real-world audio from across the MENA region, achieving under 10% Word Error Rate (WER).
Features include real-time transcription, file uploads, speaker identification (diarization), custom vocabulary, and multiple export options (TXT, DOCX, SRT).
Munsit is built for students, journalists, professionals, and content creators who need to transcribe Arabic audio quickly and accurately.
For years, Arabic speakers have navigated a digital landscape where voice technology treated their language as an afterthought. Generic speech-to-text tools, trained primarily on English, have consistently failed to capture the nuances of Arabic, leaving users with inaccurate transcripts and a frustrating experience. You speak naturally, but the text on the screen is a garbled mess.
Today, that changes. Introducing Munsit, the first Arabic speech-to-text app designed from the ground up for the complexities of the Arabic language and the way you actually speak.
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