--- title: "OuteTTS WebGPU" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/b04e4aa5-6e08-4ac9-a12e-19d2b4c7b9b7" updated: "2026-11-12" --- # OuteTTS WebGPU > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns text you type into spoken audio inside your browser, running the OuteTTS speech model on WebGPU through Transformers.js, for developers and anyone curious about in-browser speech. OuteTTS WebGPU 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 webml-community ## About ### What it is This Space runs OuteTTS, an experimental speech model, right inside your browser. OuteTTS generates speech purely by language modeling, so one model does the whole job. Transformers.js and WebGPU run it on your own graphics hardware, so you enter text and hear it spoken with nothing to install. ### Who it suits Front-end and machine learning developers get the most from it, because it shows a speech model running in a web page. Anyone curious about text to speech can also try it with no setup. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Web development | Front-end developers | Read the React and Vite code to see how a model runs in a page | Adding spoken output to a web page prototype | | Machine learning | ML engineers | Study speech generation done as language modeling | Comparing the approach with other speech models they know | | Education | Teachers and students | Show how a speech model turns text into audio | A classroom demo of AI that runs in the browser | | Accessibility | Designers and testers | Hear how written text sounds when read aloud | Trying a draft message as spoken audio | If you need polished voice work for finished audio, you can skip it, since the model is experimental. ### Where to use it - A web browser: open the Space's page on Hugging Face and run it there - A browser with WebGPU support, which the model uses for speed - Windows, macOS or Linux, if you download the files and open index.html - A local dev server, if you run the React and Vite source with npm | Use case | Who | What they get back | | --- | --- | --- | | Try speech synthesis | Anyone curious | Spoken audio for the text they enter | | Prototype a voice feature | Web developers | A working React and Vite example to read and change | | Teach in-browser AI | Educators | A live demo that needs no installs | ### How to set it up Online use needs nothing beyond a browser. A local copy needs a few more things. - Online use: a browser with WebGPU, nothing to install - Local files: Python with pip, on Windows, macOS or Linux - Dev server: Node.js with npm and a copy of the Hugging Face transformers.js-examples repository 1. Install the Hugging Face hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download webml-community/OuteTTS-WebGPU --repo-type space --local-dir OuteTTS-WebGPU cd OuteTTS-WebGPU ``` To work on the React and Vite source instead, clone the examples repository, enter its text-to-speech-webgpu folder and install the dependencies. ```sh npm i ``` ### How to use it Open the Space page, enter the text you want spoken and start the generation. You then hear the result. If you run the dev copy, this command starts the server, and you open port 5173 on your own machine. ```sh npm run dev ``` ### Example You type "Welcome to the demo" into the page. The page turns that line into speech. You hear it spoken, while the model runs on your own graphics hardware. ### For newcomers and experts Text to speech means a computer reads written words aloud. To try it, open the Space page, type one short sentence and run it. Nothing gets installed, because the page does the work inside your browser. OuteTTS handles speech as a language modeling task, so a single model generates it. Transformers.js loads that model in the page and WebGPU speeds up the maths on your GPU. The trade-off is that you depend on browser WebGPU support, and the model is experimental. You enter text on the page → Transformers.js loads OuteTTS in your browser → WebGPU runs the model on your graphics hardware → The model generates speech from the text → You hear the spoken result ### Good to know - License: apache-2, as listed on Hugging Face - Cost to run: none named - Data it reaches: it runs in your browser, and the source names no files, account or clipboard access - Not for: production-critical voice work, since the source calls the model experimental - Needs a browser that supports WebGPU for the speed-up ## README ````markdown # OuteTTS WebGPU Turns text you type into spoken audio inside your browser, running the OuteTTS speech model on WebGPU through Transformers.js, for developers and anyone curious about in-browser speech. Made by webml-community 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 runs OuteTTS, an experimental speech model, right inside your browser. OuteTTS generates speech purely by language modeling, so one model does the whole job. Transformers.js and WebGPU run it on your own graphics hardware, so you enter text and hear it spoken with nothing to install. Who it suits: Front-end and machine learning developers get the most from it, because it shows a speech model running in a web page. Anyone curious about text to speech can also try it with no setup. ```table Industry | Who uses it | How they use it | Example Web development | Front-end developers | Read the React and Vite code to see how a model runs in a page | Adding spoken output to a web page prototype Machine learning | ML engineers | Study speech generation done as language modeling | Comparing the approach with other speech models they know Education | Teachers and students | Show how a speech model turns text into audio | A classroom demo of AI that runs in the browser Accessibility | Designers and testers | Hear how written text sounds when read aloud | Trying a draft message as spoken audio ``` If you need polished voice work for finished audio, you can skip it, since the model is experimental. Where to use it: - A web browser: open the Space's page on Hugging Face and run it there - A browser with WebGPU support, which the model uses for speed - Windows, macOS or Linux, if you download the files and open index.html - A local dev server, if you run the React and Vite source with npm ```table Use case | Who | What they get back Try speech synthesis | Anyone curious | Spoken audio for the text they enter Prototype a voice feature | Web developers | A working React and Vite example to read and change Teach in-browser AI | Educators | A live demo that needs no installs ``` How to set it up: Online use needs nothing beyond a browser. A local copy needs a few more things. - Online use: a browser with WebGPU, nothing to install - Local files: Python with pip, on Windows, macOS or Linux - Dev server: Node.js with npm and a copy of the Hugging Face transformers.js-examples repository 1. Install the Hugging Face hub package. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Open index.html in a web browser. ```sh pip install -U huggingface_hub hf download webml-community/OuteTTS-WebGPU --repo-type space --local-dir OuteTTS-WebGPU cd OuteTTS-WebGPU ``` To work on the React and Vite source instead, clone the examples repository, enter its text-to-speech-webgpu folder and install the dependencies. ```sh npm i ``` How to use it: Open the Space page, enter the text you want spoken and start the generation. You then hear the result. If you run the dev copy, this command starts the server, and you open port 5173 on your own machine. ```sh npm run dev ``` Example: You type "Welcome to the demo" into the page. The page turns that line into speech. You hear it spoken, while the model runs on your own graphics hardware. For newcomers and experts: Text to speech means a computer reads written words aloud. To try it, open the Space page, type one short sentence and run it. Nothing gets installed, because the page does the work inside your browser. OuteTTS handles speech as a language modeling task, so a single model generates it. Transformers.js loads that model in the page and WebGPU speeds up the maths on your GPU. The trade-off is that you depend on browser WebGPU support, and the model is experimental. ```flow You enter text on the page Transformers.js loads OuteTTS in your browser WebGPU runs the model on your graphics hardware The model generates speech from the text You hear the spoken result ``` Good to know: - License: apache-2, as listed on Hugging Face - Cost to run: none named - Data it reaches: it runs in your browser, and the source names no files, account or clipboard access - Not for: production-critical voice work, since the source calls the model experimental - Needs a browser that supports WebGPU for the speed-up ## On Hugging Face, 13 November 2026 - Likes: 46 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/webml-community/OuteTTS-WebGPU - Files: https://huggingface.co/spaces/webml-community/OuteTTS-WebGPU/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, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [webml-community/OuteTTS-WebGPU on Hugging Face](https://huggingface.co/spaces/webml-community/OuteTTS-WebGPU) ## 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 | | --- | --- | --- | --- | --- | | OuteTTS WebGPU (this page) | 46 | static | apache-2.0 | 2025-11-24 | | [InferenceSupport](https://mindket.com/p/c095c739-2ded-4c01-93eb-b7067a50441e) | 764 | static | afl-3.0 | 2025-04-16 | | [Huggy](https://mindket.com/p/0e832fcc-5ae8-4b46-84cb-24febb45fb2d) | 463 | static | cc-by-nc-sa-4.0 | 2024-05-24 | | [Z-Image Lookalike LoRA Index](https://mindket.com/p/b982ec25-ae82-40ac-9834-49980598d3bd) | 189 | static | apache-2.0 | 2026-10-30 | | [Granite Docling 258M WebGPU](https://mindket.com/p/d4317b48-bbb7-4a8d-8c83-a8c60857aad1) | 163 | static | apache-2.0 | 2025-10-06 | | [DINOv3 Web](https://mindket.com/p/4cf9a723-8afb-4b07-bad9-d5dcb4203f2e) | 162 | static | apache-2.0 | 2025-08-15 | 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: 2025-11-24 - First published: 2024-12-07 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open webml-community/OuteTTS-WebGPU on Hugging Face](https://huggingface.co/spaces/webml-community/OuteTTS-WebGPU) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/b04e4aa5-6e08-4ac9-a12e-19d2b4c7b9b7) - [Its page on Mindket](https://mindket.com/p/b04e4aa5-6e08-4ac9-a12e-19d2b4c7b9b7)