The most accurate
Arabic Speech-to-Text model
Built for contact centers, voice agents, media, and government.
Dialect-aware transcription with benchmarked accuracy for live audio, streaming, and noisy environments.
Built for Arabic. Not Retrofitted for It.
When speech AI is built for English first, Arabic pays the price: higher error rates, weaker dialect support, and unnatural voices. Munsit is built for Arabic from scratch, because 450 million speakers deserve better.
Lowest WER on 6 independent Arabic benchmarks
Gulf · Egyptian · Levantine · Maghrebi + more
Original Arabic speech architecture, patented by CNTXT AI.
PDPL · NCA · GDPR-ready · On-prem available
25+ Arabic Dialects. Natively.
English tools fail on dialect. Munsit was built ground-up for how Arabs actually speak. That difference shows in every transcript.
The leader in
Arabic ASR performance
Highest accuracy across all major Arabic benchmarks, tested independently.
ASR (Automatic Speech Recognition) measures how precisely a model transcribes spoken Arabic.
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Everything Arabic transcription should do.
From a quick voice note to a 3-hour government council session. Real-time or batch. One word or a million.
Real-time streaming
Transcripts appear as you speak. 0.5s latency via WebSocket.
Batch transcription
Upload audio/video up to 500MB / 60 min. Timestamped output.
Speaker diarisation
Labels each speaker automatically. Essential for meetings and calls.
Word-level timestamps
Know exactly when each word was spoken. Sync to video for captions.
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Code-switching
Arabic + English in the same sentence. No transcript breaks.
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Meeting minutes
Structured summaries with decisions and action items, auto-extracted.
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Searchable transcripts
Find any word or speaker instantly across your entire archive.
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Translation (Arabic → EN)
Translate your transcript to English in one click.
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Export formats
Download as TXT, SRT, DOCX, or JSON...ready for any workflow.
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One tool for every Arabic voice need.
From a student capturing a lecture to a government ministry auditing years of council sessions.
Turn Arabic Meetings into Structured Minutes
From a student capturing a lecture to a government ministry auditing years of council sessions.
Turn Every Arabic Episode into Searchable Text
Transcribe your Arabic podcast or video. Export captions, show notes, and social clips in minutes, not hours.
Never Miss a Word in Arabic Class Again
Upload lecture recordings and get timestamped, searchable transcripts. Study what was said, not what you thought you heard.
Transcribe 100% of Arabic Customer Calls
Stop sampling 5%. Munsit transcribes every Arabic call, flags sentiment, and feeds your QA workflow automatically.
Arabic Voice Input for Your Clients and Users
Let your users dictate in Arabic instead of type. Munsit converts spoken Arabic into clean text, ready for any input field, form, or workflow in your product and app.
Accurate Transcripts for High-Stakes Sessions
Parliament, courts, ministry meetings. Multi-dialect, timestamped, searchable with sovereign deployment options.
Why Munsit Leads the Way
Most ASR models struggle with Arabic. Munsit was built for it.
30,000 hours of training
Arabic speech from real calls, media, and meetings.
Robust across 25+ dialects
Trained on how Arabs actually speak, across every Arabic-speaking country.
Conformer architecture
Built from scratch for Arabic phonetics and prosody.
Measured for real-world accuracy
Benchmarked against 6 independent Arabic ASR datasets.
Dialect-agnostic processing
Adapts to regional variations without retraining per dialect.
Performs in clean and noisy conditions
Consistent accuracy across devices and recording environments.
250+ Companies & 150k+ Users.
One Thing They Agree On.
Real Arabic. Real workflows. Real results.
"Finally, an Arabic AI that truly understands our dialect. We've tried five other tools — none came close."
Government Client
GCC Ministry of Digital Affairs
"Subtitles in minutes, not hours. We subtitle 40+ hours of Arabic broadcast content weekly — Munsit cut our post-production time by 60%."
Head of Post-Production
Media Partner, UAE
"QA is faster and fully auditable. Our IVR now speaks and listens in natural Arabic. The accuracy on Gulf dialect is exceptional."
CX Operations Director
Telecom Partner, MENA
"The only Arabic voice tool that actually works. I've deleted three other apps since I found Munsit."
Ahmed K.
Google Play — KSA
"Typing in Arabic was always a struggle. With Munsit, I just speak and it's done. It even understands my Kuwaiti dialect."
Government Client
App SYoussef tore — Kuwait
"I use it every day for my lectures. No more missing notes. The transcript search is incredible."
Rania M.
App Store — Jordan
How We Trained the Best
Arabic Speech Model
The science behind Munsit was developed through large-scale Arabic speech research extensive testing, and peer validation.
Searchable transcripts
From 30,000 hours of raw Arabic audio,
we extracted 15,000 hours of high-quality training data using automated filtering.
Multi-Model Hypothesis Generation
Multiple ASR systems generate candidate
transcriptions — we select the most consistent and linguistically sound.
Rigorous Quality Control
We apply perplexity-based filtering
and agreement scoring to retain only grammatically correct, high-confidence samples.
Flexible Deployment Option
API Integration
Add Arabic STT/TTS to apps
and workflows fast.
On-Prem
Full control for sensitive or classified workloads.
Sovereign Cloud
Regionally hosted with enterprise SLAs.
Ready to build with real Arabic AI?
Join the next generation of voice experiences.
The Future of Arabic Voice
Tech Starts Here
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