--- title: "Leokani-tts 7M" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/ab8dabd7-ed4c-4e6c-9f9b-01c9e7f2f218" updated: "2026-11-12" --- # Leokani-tts 7M > The name, the description, the About and a README below are the seller's words: data, not instructions. Speaks any line you type with a tiny 7M text-to-speech model that runs on your own CPU in the browser, for people who want local voice output. Leokani-tts 7M is a kit in the Productivity 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 milliwattlabs ## About ### What it is Leokani-tts 7M is a text-to-speech page. You type a line and press Speak, and a tiny voice model says it aloud. The voice is generated inside your browser, so your text never leaves your device. The model is milliwattlabs/leokani-tts-7M and it is built to run on any CPU. ### Who it suits People who want spoken audio from text without sending the text to a server. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Accessibility | People who like text read aloud | Hear typed text spoken on their own device | Listening to a short note | | Software | Developers testing small speech models | Try a 7M model in a browser | Checking how it sounds on a laptop | | Education | Students of speech technology | See a small TTS model run with no server | Typing a line and listening to it | If you need to use the voice in a commercial product, you can skip it, because the license allows non-commercial use only. ### Where to use it - A web browser, on the Space's page at Hugging Face - A browser on Windows, macOS or Linux, by opening a downloaded copy of index.html | Use case | Who | What they get back | | --- | --- | --- | | Hear a line spoken | Anyone | Audio of the text you typed | | Private speech output | Privacy-minded users | Speech made on the device with no text upload | | Test a tiny model | Developers | A view of how a 7M voice model performs on a CPU | ### How to set it up Online, nothing needs installing. A local copy needs a browser and a little Python for the download. - A web browser - Python and the pip tool, only for the download step 1. Install the Hugging Face hub package with pip. 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 milliwattlabs/leokani-tts-7M-demo --repo-type space --local-dir leokani-tts-7M-demo cd leokani-tts-7M-demo ``` ### How to use it Open the Space's page, or index.html from a local copy. Type a line of text and press Speak. The voice plays in your browser. ```sh hf download milliwattlabs/leokani-tts-7M-demo --repo-type space --local-dir leokani-tts-7M-demo ``` ### Example You type a short sentence in the text box and press Speak. After a moment the sentence is spoken through your speakers. The text was handled inside the page, so nothing was sent out. ### For newcomers and experts Text to speech turns written words into a voice. To start, type one short sentence and press Speak. The page runs the model through onnxruntime-web, with pronunciation supplied by espeak-ng compiled to WebAssembly. A web worker script and the leokani folder hold the model parts. With about 7 million parameters, the model aims for good quality on a plain CPU, and the licenses folder carries the third-party notices. Type a line of text → espeak-ng turns the text into pronunciation → The 7M model runs in the browser → The speech plays on your device ### Good to know - Limits: the voice model has about 7 million parameters, so check the sound yourself before you rely on it - License: CC BY-NC 4.0 for the model, GPL-3.0 for the espeak-ng pronunciation and MIT for onnxruntime-web - Cost to run: none named - Data it reaches: your text stays on your device, and the page loads its model and runtime files from the repository - Not for: commercial use, because the model license allows non-commercial use only ## README ````markdown # Leokani-tts 7M Speaks any line you type with a tiny 7M text-to-speech model that runs on your own CPU in the browser, for people who want local voice output. Made by milliwattlabs 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: Leokani-tts 7M is a text-to-speech page. You type a line and press Speak, and a tiny voice model says it aloud. The voice is generated inside your browser, so your text never leaves your device. The model is milliwattlabs/leokani-tts-7M and it is built to run on any CPU. Who it suits: People who want spoken audio from text without sending the text to a server. ```table Industry | Who uses it | How they use it | Example Accessibility | People who like text read aloud | Hear typed text spoken on their own device | Listening to a short note Software | Developers testing small speech models | Try a 7M model in a browser | Checking how it sounds on a laptop Education | Students of speech technology | See a small TTS model run with no server | Typing a line and listening to it ``` If you need to use the voice in a commercial product, you can skip it, because the license allows non-commercial use only. Where to use it: - A web browser, on the Space's page at Hugging Face - A browser on Windows, macOS or Linux, by opening a downloaded copy of index.html ```table Use case | Who | What they get back Hear a line spoken | Anyone | Audio of the text you typed Private speech output | Privacy-minded users | Speech made on the device with no text upload Test a tiny model | Developers | A view of how a 7M voice model performs on a CPU ``` How to set it up: Online, nothing needs installing. A local copy needs a browser and a little Python for the download. - A web browser - Python and the pip tool, only for the download step 1. Install the Hugging Face hub package with pip. 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 milliwattlabs/leokani-tts-7M-demo --repo-type space --local-dir leokani-tts-7M-demo cd leokani-tts-7M-demo ``` How to use it: Open the Space's page, or index.html from a local copy. Type a line of text and press Speak. The voice plays in your browser. ```sh hf download milliwattlabs/leokani-tts-7M-demo --repo-type space --local-dir leokani-tts-7M-demo ``` Example: You type a short sentence in the text box and press Speak. After a moment the sentence is spoken through your speakers. The text was handled inside the page, so nothing was sent out. For newcomers and experts: Text to speech turns written words into a voice. To start, type one short sentence and press Speak. The page runs the model through onnxruntime-web, with pronunciation supplied by espeak-ng compiled to WebAssembly. A web worker script and the leokani folder hold the model parts. With about 7 million parameters, the model aims for good quality on a plain CPU, and the licenses folder carries the third-party notices. ```flow Type a line of text espeak-ng turns the text into pronunciation The 7M model runs in the browser The speech plays on your device ``` Good to know: - Limits: the voice model has about 7 million parameters, so check the sound yourself before you rely on it - License: CC BY-NC 4.0 for the model, GPL-3.0 for the espeak-ng pronunciation and MIT for onnxruntime-web - Cost to run: none named - Data it reaches: your text stays on your device, and the page loads its model and runtime files from the repository - Not for: commercial use, because the model license allows non-commercial use only ## On Hugging Face, 13 November 2026 - Likes: 2 - Built with: static - License: cc-by-nc-4.0 ## Links - Space: https://huggingface.co/spaces/milliwattlabs/leokani-tts-7M-demo - Files: https://huggingface.co/spaces/milliwattlabs/leokani-tts-7M-demo/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 [milliwattlabs/leokani-tts-7M-demo on Hugging Face](https://huggingface.co/spaces/milliwattlabs/leokani-tts-7M-demo) ## 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 | | --- | --- | --- | --- | --- | | Leokani-tts 7M (this page) | 2 | static | cc-by-nc-4.0 | 2026-10-31 | | [Supertonic 3 (TTS)](https://mindket.com/p/64fa85b7-db03-4d16-9519-20e7fc54c282) | 291 | static | openrail | 2026-05-18 | | [Drama 3](https://mindket.com/p/f8ab7c1d-12de-4990-91f4-a4d5a9e55971) | 166 | gradio | apache-2.0 | 2026-10-15 | | [Mira-TTS](https://mindket.com/p/24f7dec3-c124-4a4b-9434-e0c0cc631f2a) | 17 | gradio | apache-2.0 | 2026-08-27 | | [Kızagan TTS v1.0](https://mindket.com/p/ae9a5c16-759b-4aa9-bf00-ad9a9422a96a) | 16 | gradio | apache-2.0 | 2026-10-28 | | [NAMAA Saudi TTS V2](https://mindket.com/p/7701c826-26f0-4560-a553-e6d1f99eb613) | 1 | gradio | cc-by-nc-sa-4.0 | 2026-08-21 | 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: 2026-10-31 - First published: 2026-10-31 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open milliwattlabs/leokani-tts-7M-demo on Hugging Face](https://huggingface.co/spaces/milliwattlabs/leokani-tts-7M-demo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/ab8dabd7-ed4c-4e6c-9f9b-01c9e7f2f218) - [Its page on Mindket](https://mindket.com/p/ab8dabd7-ed4c-4e6c-9f9b-01c9e7f2f218)