Call centers

Automate Arabic customer support calls

Callers speak Arabic, English or both. Munsit replies in under a second, so the caller never hears a gap.

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<50 ms: To first response, the caller never hears the gap
25+: Arabic dialects, one request, no dialect flag
18% WER: Average WER, #1 on six Arabic benchmarks
250+: Companies and government agencies, 300,000 people use Munsit

From any dialect to a reply.

Munsit understands, transcribes and responds in real time, so your calls never slow down.

Keeps mid-sentence English

Understands and transcribes mixed language in real time.

Follows 25+ dialects

Understands local language and context across the region.

Knows when the caller has finished, not just paused.

Understands intent early and replies without delays.

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

Munsit82.00
Transcribe74.14
NVIDIA65.26
Deepgram Nova-364.14
OpenAI Whisper63.15
Meta Seamless M4T61.84
ElevenLabs Scribe59.95
OpenAI ChatGPT55.03
Microsoft Azure54.27

What matters in a live call

	Munsit TTS	Typical global TTS
Time to first audio byte	<50 ms	~300–600 ms
Cancellation mid-sentence	Clean abort, generation stops	Often finishes the utterance
Arabic-aware turn detection	Built in	None or basic
Arabic dialects	Native across 25+ dialects & MSA	Generic Arabic accent
Deployment	In-region, on-prem or on-device	Cloud-only
Voice cloning	Arabic-tuned, expressive	English-optimised

Munsit TTS is not independently benchmarked yet. This is Munsit’s comparison with typical global text-to-speech, the same as on the text-to-speech page.

Open Arabic ASR Leaderboard Read the paper

Two lines into your agent framework.

Drop the Munsit STT and Munsit TTS services into a Pipecat pipeline. Your existing agent logic stays where it is.

Get an API key: 10,000 free credits, no card.
Add the two services to your pipeline.
Point it at a phone number or your playground sample.

Try it in the playground

Docs

import os
from pipecat_plugins_munsit import MunsitSTTService, MunsitTTSService

stt = MunsitSTTService(api_key=os.getenv("MUNSIT_API_KEY"))
tts = MunsitTTSService(api_key=os.getenv("MUNSIT_API_KEY"), aiohttp_session=session)

# transcripts and summaries land in your CRM and QA tools