--- title: "Catalan Text-to-Speech" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/1e296d86-d4e0-4260-a072-90b48a1cabba" updated: "2026-11-12" --- # Catalan Text-to-Speech > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. Catalan Text-to-Speech is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by projecte-aina ## 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. ```sh 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. ```sh 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. ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```sh 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. ```flow 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [projecte-aina/matxa-alvocat-tts-ca on Hugging Face](https://huggingface.co/spaces/projecte-aina/matxa-alvocat-tts-ca) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Catalan Text-to-Speech (this page) | 22 | docker | apache-2.0 | 2025-05-23 | | [Zero GPU Spaces](https://mindket.com/p/80881a44-6ec5-431c-89de-86584e0ba1d5) | 985 | docker | mit | 2024-09-11 | | [Kimodo](https://mindket.com/p/e6fe5336-403a-4328-92dc-77d41137a8bc) | 340 | docker | apache-2.0 | 2026-03-16 | | [Harness Leaderboard](https://mindket.com/p/d0e92765-2a63-4ae5-9ba0-42dbfedd56a6) | 323 | docker | apache-2.0 | 2026-11-12 | | [Flowise](https://mindket.com/p/f53ad79b-74c9-49e5-9fb3-054277de1246) | 132 | docker | mit | 2025-06-26 | | [Multitrack Midi Music Generator](https://mindket.com/p/9bd48c41-e4a7-4576-be7e-da51b041b39f) | 130 | docker | mit | 2025-07-07 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2025-05-23 - First published: 2024-03-06 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open projecte-aina/matxa-alvocat-tts-ca on Hugging Face](https://huggingface.co/spaces/projecte-aina/matxa-alvocat-tts-ca) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/1e296d86-d4e0-4260-a072-90b48a1cabba) - [Its page on Mindket](https://mindket.com/p/1e296d86-d4e0-4260-a072-90b48a1cabba)