> ## Documentation Index
> Fetch the complete documentation index at: https://docs.munsit.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Models

> Explore Munsit's voice synthesis models

Munsit offers state-of-the-art Arabic voice synthesis models designed to handle various dialects and use cases.

## Meet the Models

<CardGroup cols={2} rows={1}>
  <Card title="Faseeh v1 Preview">
    High-quality Arabic voice synthesis model

    <div style={{ fontSize: '0.9em' }}>
      <div>
        * Natural-sounding Arabic speech
      </div>

      <div>
        * Multiple Arabic dialects supported
      </div>

      <div>
        * High-quality voice generation
      </div>

      <div>
        * Optimized for clarity and naturalness
      </div>
    </div>
  </Card>

  <Card title="Faseeh v1 Mini Preview">
    Fast Arabic voice synthesis model

    <div style={{ fontSize: '0.9em' }}>
      <div>
        * Low-latency generation
      </div>

      <div>
        * Multiple Arabic dialects supported
      </div>

      <div>
        * Faster model with optimized performance
      </div>

      <div>
        * Ideal for real-time applications
      </div>
    </div>
  </Card>
</CardGroup>

## Model Comparison

| Feature      | Faseeh v1 Preview        | Faseeh v1 Mini Preview   |
| ------------ | ------------------------ | ------------------------ |
| **Quality**  | High                     | High                     |
| **Speed**    | Standard                 | Fast                     |
| **Latency**  | Standard                 | Low                      |
| **Use Case** | General purpose          | Real-time applications   |
| **Dialects** | Multiple Arabic dialects | Multiple Arabic dialects |

<Note>
  **Model Selection**: Choose Faseeh v1 Preview for general use cases requiring high quality, or Faseeh v1 Mini Preview for applications requiring low latency and faster generation.
</Note>