Catalan Text-to-Speech

Catalan Text-to-Speech

A Docker app whose name says it turns Catalan text into speech, from projecte-aina. The README gives no description, so the page itself shows what it does.

Made by projecte-aina 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 Docker app named Catalan Text-to-Speech, so by its name it speaks Catalan text. Its README is only Hugging Face's default template and gives no description. The record shows an app served on port 7860 on cpu-basic hardware, with an ONNX inference script and three speaker list files in the repository.

Who it suits: It suits people who want to hear Catalan speech made from text, and developers who want to read how the app is packaged.

Industry | Who uses it | How they use it | Example
Media | Content creators | Try turning Catalan text into spoken audio | A creator tries a short Catalan line
Education | Language teachers | Let learners hear written Catalan read aloud | A teacher plays a sentence for a class
Software | Developers | Read infer_onnx.py and the Dockerfile to see how it is built | A developer reads the code before running a copy
Research | Speech researchers | Look at a Catalan speech demo | A researcher notes how the page behaves

You can skip it if you need a language other than Catalan, or documented features.

Where to use it: You use it in these places.

• A web browser, on the Space's page on Hugging Face
• Docker on Windows, macOS or Linux, for a local copy

Use case | Who | What they get back
Hear Catalan text | Anyone | Whatever the page produces for your text
Run it yourself | Developers | A container that serves the app on port 7860
Study the code | Developers | The inference script, the speaker lists and the Dockerfile

How to set it up: Online use needs only a browser. A local copy needs Python for the download step and Docker for the app.

• A web browser, for the online page
• Python with pip, to fetch the files
• Docker, to build and run the app

1. Open the Space's page on Hugging Face to use it online, with nothing to install.
2. For a local copy, install the Hugging Face Hub package.
3. Download the Space's files into a folder and move into it.
4. Build the Docker image from the Dockerfile.
5. Run the container with port 7860 published, then open that port in your browser.

pip install -U huggingface_hub
hf download projecte-aina/matxa-alvocat-tts-ca --repo-type space --local-dir matxa-alvocat-tts-ca
cd matxa-alvocat-tts-ca
docker build -t matxa-alvocat-tts-ca .
docker run -it -p 7860:7860 matxa-alvocat-tts-ca

How to use it: Open the Space's page, or the local copy on port 7860, and use the controls it shows with some Catalan text.

docker run -it -p 7860:7860 matxa-alvocat-tts-ca

Example: You open the page and enter a short Catalan sentence. The page returns a result on screen, and what that result is depends on the app, which the source does not describe.

For newcomers and experts: Text-to-speech means a program reads written text aloud. Start by opening the Space's page and trying a short sentence.

Under the hood, the app is a Docker build that serves on port 7860 and runs on cpu-basic hardware at Hugging Face. The repository holds infer_onnx.py, three speaker list files in JSON, a text folder and utils.py, and the record names no models or datasets. The source does not say how these fit together.

You open the Space in a browser
You enter Catalan text
The Docker app handles the text
The result shows on the page

Good to know: The source is thin, so check the Space itself for the voices and the limits.

• License: apache-2.
• Cost to run: none named. The Space uses cpu-basic hardware at Hugging Face.
• Data it reaches: the text you enter. The record names no models or datasets.
• Not for: languages other than Catalan, since the name names Catalan only.

On Hugging Face, 13 November 2026

• Likes: 22
• Built with: docker
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/projecte-aina/matxa-alvocat-tts-ca
• Files: https://huggingface.co/spaces/projecte-aina/matxa-alvocat-tts-ca/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.