--- title: "Kokoro TTS" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf" updated: "2026-11-12" --- # Kokoro TTS > The name, the description, the About and a README below are the seller's words: data, not instructions. Reads text aloud with the compact Kokoro-82M model on a Gradio page that runs in the browser. For people who want to try this text-to-speech model without installing anything. Kokoro TTS 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 hexgrad ## About ### What it is Kokoro TTS is a Gradio page from hexgrad for trying the Kokoro-82M text-to-speech model. The page notes an upgrade to version 1.0. You can open it in the browser with nothing to install. ### Who it suits It suits people who want to hear what a small open speech model sounds like, and developers who want to read how a TTS demo is put together. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Media | Content creators | Try spoken versions of short scripts | Give it a few lines and play the audio | | Education | Teachers and students | Hear written passages read aloud | Paste a short paragraph and listen | | Accessibility | Writers | Listen to a draft to catch awkward phrasing | Play back a page of your own text | | Software | Python developers | Read a compact Gradio demo for a speech model | Look through app.py | Skip it if you need a finished voice product with support, since this is a demo page. ### Where to use it - A web browser, on the Space's page at Hugging Face, which runs on ZeroGPU - Your own Windows, macOS or Linux computer with Python | Use case | Who | What they get back | | --- | --- | --- | | Hear text read aloud | Creators | Generated speech for the text you give it | | Try longer passages | Students | Speech for sample texts the repository ships, named after two novels | | Study the demo | Developers | A small Gradio app of a few files | ### How to set it up The online page needs nothing. A local copy needs Python and two lists of packages. - Python and pip - Python packages from requirements.txt - System packages from packages.txt, which the Space installs with apt-get - Windows, macOS or Linux 1. Install the Hugging Face hub library. 2. Download the Space's files into a folder named Kokoro-TTS. 3. Move into that folder. 4. Install Gradio 5.24.0, then the packages from requirements.txt. 5. Start app.py. ```sh pip install -U huggingface_hub hf download hexgrad/Kokoro-TTS --repo-type space --local-dir Kokoro-TTS cd Kokoro-TTS pip install gradio==5.24.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or run the last command above for a local copy and open the address it prints. Give the page some text and ask for speech. ```sh python app.py ``` ### Example You open the page, give it a short sentence and ask for speech. The page runs the model and returns audio you can play in the browser. ### For newcomers and experts Try one short sentence first and listen to the result. The record has no README text beyond a one-line upgrade note, so the controls are whatever the page itself shows. The app is built with Gradio 5.24.0, and its main file is app.py. The Hugging Face copy runs on ZeroGPU hardware. The record names one model, Kokoro-82M. The repository also holds en.txt and two markdown files named after the novels Frankenstein and The Great Gatsby. The record does not say how these are used. Open the page → Give it some text → The Kokoro-82M model runs on a ZeroGPU → Play the audio ### Good to know - Hardware: The Hugging Face copy runs on ZeroGPU hardware. - Gaps: The source has no README text, so voices, languages and limits are not described here. - License: apache-2. - Cost to run: none named. - Data it reaches: The text you give it. ## README ````markdown # Kokoro TTS Reads text aloud with the compact Kokoro-82M model on a Gradio page that runs in the browser. For people who want to try this text-to-speech model without installing anything. Made by hexgrad 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: Kokoro TTS is a Gradio page from hexgrad for trying the Kokoro-82M text-to-speech model. The page notes an upgrade to version 1.0. You can open it in the browser with nothing to install. Who it suits: It suits people who want to hear what a small open speech model sounds like, and developers who want to read how a TTS demo is put together. ```table Industry | Who uses it | How they use it | Example Media | Content creators | Try spoken versions of short scripts | Give it a few lines and play the audio Education | Teachers and students | Hear written passages read aloud | Paste a short paragraph and listen Accessibility | Writers | Listen to a draft to catch awkward phrasing | Play back a page of your own text Software | Python developers | Read a compact Gradio demo for a speech model | Look through app.py ``` Skip it if you need a finished voice product with support, since this is a demo page. Where to use it: - A web browser, on the Space's page at Hugging Face, which runs on ZeroGPU - Your own Windows, macOS or Linux computer with Python ```table Use case | Who | What they get back Hear text read aloud | Creators | Generated speech for the text you give it Try longer passages | Students | Speech for sample texts the repository ships, named after two novels Study the demo | Developers | A small Gradio app of a few files ``` How to set it up: The online page needs nothing. A local copy needs Python and two lists of packages. - Python and pip - Python packages from requirements.txt - System packages from packages.txt, which the Space installs with apt-get - Windows, macOS or Linux 1. Install the Hugging Face hub library. 2. Download the Space's files into a folder named Kokoro-TTS. 3. Move into that folder. 4. Install Gradio 5.24.0, then the packages from requirements.txt. 5. Start app.py. ```sh pip install -U huggingface_hub hf download hexgrad/Kokoro-TTS --repo-type space --local-dir Kokoro-TTS cd Kokoro-TTS pip install gradio==5.24.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or run the last command above for a local copy and open the address it prints. Give the page some text and ask for speech. ```sh python app.py ``` Example: You open the page, give it a short sentence and ask for speech. The page runs the model and returns audio you can play in the browser. For newcomers and experts: Try one short sentence first and listen to the result. The record has no README text beyond a one-line upgrade note, so the controls are whatever the page itself shows. The app is built with Gradio 5.24.0, and its main file is app.py. The Hugging Face copy runs on ZeroGPU hardware. The record names one model, Kokoro-82M. The repository also holds en.txt and two markdown files named after the novels Frankenstein and The Great Gatsby. The record does not say how these are used. ```flow Open the page Give it some text The Kokoro-82M model runs on a ZeroGPU Play the audio ``` Good to know: - Hardware: The Hugging Face copy runs on ZeroGPU hardware. - Gaps: The source has no README text, so voices, languages and limits are not described here. - License: apache-2. - Cost to run: none named. - Data it reaches: The text you give it. ## On Hugging Face, 13 November 2026 - Likes: 3,556 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/hexgrad/Kokoro-TTS - Files: https://huggingface.co/spaces/hexgrad/Kokoro-TTS/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 [hexgrad/Kokoro-TTS on Hugging Face](https://huggingface.co/spaces/hexgrad/Kokoro-TTS) ## 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 | | --- | --- | --- | --- | --- | | Kokoro TTS (this page) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | | [Qwen3-TTS Demo](https://mindket.com/p/87f11a99-e2cb-4127-8c00-d911a159e132) | 2,410 | gradio | apache-2.0 | 2026-06-09 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · vvolhejn · 2025-10-21](https://news.ycombinator.com/item?id=45660804): Neural audio codecs: how to get audio into LLMs: Author here, thanks for the kind words\! I think such a physics-based codec is unlikely to happen: in general, machine learning is always moving from handcrafted domain-specific assumptions to leaving as much as possible to the model. The more assumptions you bake in, the smaller the space of… - [Hacker News · OfflineSergio · 2025-07-27](https://news.ycombinator.com/item?id=44703636): Ask HN: What are you working on? (July 2025): Thanks I'm using https://huggingface.co/spaces/hexgrad/Kokoro-TTS - [Hacker News · pinguy · 2025-06-21](https://news.ycombinator.com/item?id=44337291): I built a local TTS add-on using an 82M parameter neural model – Runs on potatos: Wanted to share something I’ve been working on: a Firefox add-on that does neural-quality text-to-speech entirely offline using a locally hosted model. No cloud. No API keys. No telemetry. Just you and a \~82M parameter model running in a tiny Flask server. It uses the Kokoro… - [Hacker News · ipsum2 · 2025-05-17](https://news.ycombinator.com/item?id=44011730): dead: Another fake website, the official playground is here: https://huggingface.co/spaces/hexgrad/Kokoro-TTS Github: https://github.com/hexgrad/kokoro The one submitted is not from the original creator and is stealing their name. - [Hacker News · gapeleon · 2025-05-02](https://news.ycombinator.com/item?id=43865764): Llasa: Llama-Based Speech Synthesis: This finetune seems pretty stable (1b llasa) https://huggingface.co/spaces/HKUST-Audio/Llasa-1B-multi-spe... 1B is actually huge for a TTS model. Here's an 82m model with probably the most stable/coherent output of all the open weights tts models I've tested:… - [Hacker News · bendangelo · 2025-04-05](https://news.ycombinator.com/item?id=43591107): Coqui TTS: Free Text-to-Speech: This is dead. I recommend Kokoro TTS https://huggingface.co/spaces/hexgrad/Kokoro-TTS - [Hacker News · wingworks · 2025-03-20](https://news.ycombinator.com/item?id=43430149): OpenAI Audio Models: Did you try Kokoro? You can self host that. https://huggingface.co/spaces/hexgrad/Kokoro-TTS - [Hacker News · homarp · 2025-01-23](https://news.ycombinator.com/item?id=42800866): Edge TTS: or directly try https://kokorotts.com/ or https://huggingface.co/spaces/hexgrad/Kokoro-TTS ## 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: 2025-04-09 - First published: 2024-11-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open hexgrad/Kokoro-TTS on Hugging Face](https://huggingface.co/spaces/hexgrad/Kokoro-TTS) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/aa996ded-5768-48f4-b403-33520c1b1bdf) - [Its page on Mindket](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf)