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CNTXT AI Unveils Munsit: The World’s Most Accurate Arabic Speech Recognition Model

 CNTXT AI, the UAE-based Data and AI company, today announced the launch of Munsit — a next-generation Arabic speech-to-text model that outperforms every global model on Arabic, including those from OpenAI, Meta, Microsoft and ElevenLabs.

“Munsit” — derived from the Arabic root for “to listen” — symbolizes a breakthrough in voice technology that truly listens with attentiveness and understands the richness of Arabic speech. Developed entirely in the UAE, Munsit sets a new benchmark for transcription accuracy across Modern Standard Arabic and 25+ dialects, enabling seamless Arabic voice data processing across real-world applications.

This breakthrough reflects CNTXT AI’s mission to build sovereign technology — AI built in the region, for the region — that competes globally. The model is available now via API, and on-premises deployment for organizations seeking full data control.

How Munsit Powers Arabic Voice Solutions

Munsit is designed to deliver highly accurate Arabic transcription across diverse, real-world scenarios. Addressing the increasing demand for reliable Arabic language solutions, Munsit empowers essential applications, including:

  • Subtitling for Content Creators
  • Meeting Notes and Minute-Taking
  • Call Center Support
  • Government and Public Services

Built for Arabic, Trained on Real Voices

To create Munsit, CNTXT AI processed over 30,000 hours of Arabic audio, refining it into a high-quality 15,000-hour dataset that captures a wide range of dialects, accents, age groups, and environments.

Munsit is powered by advanced AI and high-performance NVIDIA infrastructure, delivering fast, accurate transcription for a variety of Arabic-speaking use cases — from call centers and public services to education and media.

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