# Get started

> Munsit Text-to-Speech converts text into high-quality, natural-sounding Arabic audio — built for the MENA region, tuned for very low latency, and fluent across dialects from Abu Dhabi to Rabat.

## What is Munsit TTS?

Munsit Text-to-Speech (TTS) is an advanced AI-powered service that converts text into high-quality audio with exceptional performance characteristics. Built specifically for the Middle East and North Africa (MENA) region, Munsit TTS delivers natural-sounding Arabic speech with very low latency and support for multiple Arabic dialects.

Munsit TTS transforms your text into lifelike audio, enabling you to build voice-enabled applications, interactive systems, and content that speaks naturally in Arabic.

## Key features

Four things Munsit TTS is built around.

| Feature | What it means |
| --- | --- |
| **Ultra-low latency** | Very good latency performance, making Munsit TTS ideal for real-time applications and conversational AI. |
| **Exceptional Arabic dialects** | Optimized for authentic Arabic speech across multiple dialects, from Abu Dhabi to Rabat. |
| **MENA-optimized** | Specifically designed and optimized for the Middle East and North Africa region, ensuring cultural and linguistic accuracy. |
| **High-quality audio** | Natural-sounding speech that captures the nuances of Arabic pronunciation and intonation. |

## Go further

Pick a model, pick a voice, and make your first synthesis call.

- [Synthesize](/text-to-speech/synthesize) — Generate a complete WAV file from Arabic text. — `POST /text-to-speech/{model_id}`

- [Audio streaming output](/text-to-speech/audio-streaming-output) — Stream PCM16 chunks as the audio is generated. — `streaming: true`

- [Voices](/text-to-speech/voices) — Browse the voice library across Fusha, Emirati, Saudi Najdi, Saudi Hijazi and more. — `GET /voices`

- [Models](/text-to-speech/models) — The Faseeh voice synthesis model and its dialects. — `GET /models`