Egyptian Arabic TTS

Egyptian Arabic TTS

Reads Arabic text aloud in your browser with the NAMAA Egyptian text-to-speech model built on Chatterbox. Suits Arabic content makers, developers and researchers who want to hear the model.

Made by omarelshehy on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a browser demo that turns Arabic text into spoken audio. It pairs the NAMAA Egyptian text-to-speech model with the Chatterbox speech system, and runs on Hugging Face hardware. The page heading in the README mentions Saudi Arabic, while the Space name and its model say Egyptian.

Who it suits: It suits people who work with Arabic audio, such as content makers and teachers, and developers or researchers who want to hear this model before using it.

Industry | Who uses it | How they use it | Example
Media | Video and podcast makers | Hear Arabic narration drafts from text | Listen to a short script read aloud
Education | Language teachers | Play Arabic sentences for students | Read a practice sentence aloud
Software | Developers | Read a small app built around the model | Check how the app calls Chatterbox
Research | Speech researchers | Judge the model's Arabic output by ear | Compare a few sentences by listening

You can skip it if you need many languages or a hosted service with guarantees, since this is a single-model demo.

Where to use it:

• A web browser: open the Space page on Hugging Face
• Windows, macOS or Linux: run a copy with Python
• An MCP client: the Space carries an MCP tag on Hugging Face

Use case | Who | What they get back
Speak Arabic text | Content makers | Audio of your text read aloud
Test the model | Researchers | Samples to judge by ear
Run your own copy | Developers | The same app on your own computer

How to set it up: The online page needs nothing. A local copy needs Python and the packages in requirements.txt.

• A web browser for the online demo
• Python for a local copy
• The packages listed in requirements.txt

1. To use it online, open the Space page on Hugging Face.
2. To run a copy, install the Hugging Face hub package.
3. Download the Space into a local folder.
4. Move into the folder and install Gradio 5.29.0 and the listed packages.
5. Start the app.

pip install -U huggingface_hub
hf download omarelshehy/NAMAA-Egyptian-Voice --repo-type space --local-dir NAMAA-Egyptian-Voice
cd NAMAA-Egyptian-Voice
pip install gradio==5.29.0
pip install -r requirements.txt
python app.py

How to use it: Run the app from its folder, or open the Space online. Type the Arabic text you want to hear and start generation. The page then plays the audio. The repository also holds a sample voice file.

python app.py

Example: You type one short Arabic sentence and press the button to generate. The page returns audio of that sentence spoken by the model, which you can play back and judge by ear.

For newcomers and experts: If you are new to this, type one short sentence first. Short input shows you quickly whether the voice and pronunciation suit your needs.

If you know the field, the app combines two named models: the NAMAA Egyptian text-to-speech model and the Chatterbox speech system from Resemble AI. The repository holds the app file, a source folder, a requirements list and a sample voice recording. The hosted Space runs on Hugging Face's zero-a10g hardware.

You type Arabic text
The Gradio app sends it to the model
The NAMAA and Chatterbox models make speech
You play the audio

Good to know: The README is only a title, so the page itself is the guide to its controls. The heading and the Space name name different Arabic varieties, so listen to the output before relying on it.

• License: MIT
• Cost to run: none named
• Data it reaches: the text you type

On Hugging Face, 13 November 2026

• Likes: 11
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/omarelshehy/NAMAA-Egyptian-Voice
• Files: https://huggingface.co/spaces/omarelshehy/NAMAA-Egyptian-Voice/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.