MunsitAI

Munsit is the next-generation Arabic speech-to-text model built by CNTXT AI from the ground up in the UAE. Designed for high accuracy, real-world dialect diversity, and enterprise-grade performance, Munsit powers voice agents, meeting transcription.

Key Features:
State-of-the-Art Accuracy — Among the lowest Word Error Rate (WER) across standard benchmarks.

Massive Dataset — Trained on 30000 hours of raw Arabic audio.

Dialect-Agnostic Support — Works well across more than 25 dialects from across the Arabic-speaking world.

Clean & Noisy Conditions — Consistent performance across devices, background noise, and recording environments.

Real-World Use Cases —
  • AI voice agents & virtual assistants that understand spoken Arabic across dialects
  • Meeting transcription and note-taking