Munsit

    Munsit

    Tech
    STT

    State-of-the-art Arabic speech-to-text model with superior accuracy.

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    About Munsit

    Munsit: The World’s Most Accurate Arabic Speech-to-Text Model


    Munsit is an advanced Arabic automatic speech recognition (ASR) model trained on 30,000 hours of diverse Arabic speech using cutting-edge weak supervision techniques. It surpasses global leaders like OpenAI’s Whisper, Meta’s SeamlessM4T, and Microsoft models in accuracy across all major Arabic speech benchmarks. Munsit specializes in recognizing multiple Arabic dialects with the lowest Word Error Rate (WER) of 26.68%, making it ideal for business, government, and developer applications in the Arabic-speaking world.

    Key Features

    • Trained on 30,000 hours of Arabic audio with 15,000 hours of high-quality filtered samples

    • Superior performance across six key Arabic speech benchmarks (SADA, Common Voice, MASC, Casablanca, MGB-2)

    • Lowest average Word Error Rate (WER) among leading Arabic ASR models

    • Combines multiple ASR candidate transcriptions with perplexity-based filtering and agreement scoring

    • Supports multi-dialect Arabic transcription with high linguistic accuracy

    • Enables voice agents, virtual assistants, customer support, and real-time meeting transcription

    • Accurate Arabic speech-to-text and translation to unified dialects or English

    • High standards for data security, privacy, and compliance with sovereign AI principles

    Use Cases

    • Building Arabic AI voice agents and conversational interfaces

    • Real-time transcription and actionable meeting notes across Arabic dialects

    • Supporting government, business, and smart city applications in the Arabic region

    • Speech-to-text conversion for multilingual and cross-dialect communication

    • Integrating high-accuracy Arabic ASR into customer support and virtual assistant workflows

    Getting Started


    Website: https://munsit.cntxt.tech

    Munsit delivers unmatched Arabic speech recognition accuracy, enabling scalable and reliable voice AI applications that meet regional linguistic complexities and stringent data protection standards.