Build with Arabic voice AI
that understands

Speech to text ranked #1 on six Arabic benchmarks.
Text to speech, first audio in under 50 ms. One key, one API call.

MajedClear, calm male voice with a steady, measured pace and a medium pitchEmiratiMale

Voice

Speed:1.00x
Speed1.00x
0.7x1.2x

Controls the speed of the generated speech. Higher values make the voice speak faster.

Trusted by 250+ companies and government agencies

Speech to Text

Word-level transcripts in 25+ dialects, with the English words left as English.

كيف حالك؟ كل شيء على ما يُرام

0:00 / 0:04

Text to Speech

Arabic in the dialect you pick, first audio in under 50 ms.

Real-time streaming

Partial words as people speak, final text on the pause. One WebSocket.

Every dialect. One call.

No dialect flag to set. Send the audio and it detects dialect automatically.

Made for developers

REST and streaming APIs, an on-device SDK, and native LiveKit plugins. You can copy over the script below to try it.

curl -X POST "https://api.munsit.com/api/v1/audio/transcribe" \ -H "x-api-key: $MUNSIT_API_KEY" \ -F "file=@meeting.mp3" \ -F "model=munsit"
Response
"data": { "transcription": "اجتماع الفريق يبدأ الساعة العاشرة", "duration": 14.2}

Scaling real
Arabic voice use cases

Explore where Munsit powers better Arabic voice experiences.

Automate Arabic customer calls

Voicebots that understand real speech and reply instantly.

Turn calls & meetings into records

Send the audio, get a diarized transcript with speakers and action items.

Caption and index media at scale

Live captions for broadcast and events, searchable archives for everything recorded.

Add voice to your app

Dictation, voice commands, and voice search in the dialect your users actually speak.

Subtitles, dubbing and voice-over

A script to Arabic audio in your dialect, a video dubbed, subtitles exported.

Index Arabic media archives

Turn news, broadcasts, & calls into searchable data: sentiment, keywords, and more.

Need the full agent, not just the voice? Munsit is the Arabic voice layer inside AGNTIX, CNTXT AI’s agent platform.Explore AGNTIX

Number one on
six Arabic benchmarks.

18% average word error rate across SADA, Common Voice 18.0, MASC clean and noisy, MGB-2 and Casablanca. Values as the leaderboard shows them.

Model Accuracy %Higher is better
  1. Munsit82.00
  2. Transcribe74.14
  3. NVIDIA65.26
  4. Deepgram Nova-364.14
  5. OpenAI Whisper63.15
  6. Meta Seamless M4T61.84
  7. ElevenLabs Scribe59.95
  8. OpenAI ChatGPT55.03
  9. Microsoft Azure54.27
18%
average WER, #1 on six Arabic benchmarks
25+
Arabic dialects, plus Arabic–English code-switching
250+
companies and government agencies
300,000
people use Munsit

Every dialect is the same call.

Arabic isn’t one language. A Moroccan and a Kuwaiti sound different, but most AI hears the same generic Arabic. Munsit hears the dialect on its own. Pick one, play it, see the reply.

شحالك؟ كل شي زين؟

sh-ḥālak? kill shay zēn?

POST /audio/transcribe -F "file=@clip.mp3" -F "model=munsit"

Subscription.
Credits that never expire.

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10,000 credits, no card.

$0

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10K credits2× concurrency

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$8/mo(billed yearly)

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200k credits / mo2× concurrency

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Most Popular

For projects that outgrow Basic

$31/mo(billed yearly)

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1M credits / mo3× concurrency

Starter

For live apps and small teams

$80/mo(billed yearly)

Subscribe
3M credits / mo5× concurrency

1,000 credits ≈ 1 minute of transcription or 500 characters of speech.See all plans

Build with Arabic from day one.

One API key. Speech-to-text and text-to-speech built for Arabic. Try it for free.