--- title: "Pocket TTS (CPU)" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/cbfc466e-9a05-4f3c-a3f1-5c6f59646a0f" updated: "2026-11-12" --- # Pocket TTS (CPU) > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns typed text into speech in a web page, using Kyutai's small text-to-speech model on a plain CPU with a choice of built-in voices. It suits anyone who wants spoken audio without a GPU. Pocket TTS (CPU) 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 D3vShoaib ## About ### What it is This is a Gradio web interface for PocketTTS, a text-to-speech model from Kyutai Labs with about 100 million parameters. The model is built to run on an ordinary CPU, so no graphics card is needed. The repository has just a few files, including app.py and requirements.txt, and the Space runs on Hugging Face's free CPU hardware. ### Who it suits It suits people who want to hear text read aloud, and developers who want a small, local speech demo without GPU hardware. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Content creation | Video and podcast makers | Turn a draft script into a spoken scratch track | A maker pastes a script and picks the voice alba to hear the pacing. | | Software | Developers | Run a lightweight speech model locally and read how the interface is wired | A developer installs the packages and starts app.py on a laptop. | | Education | Teachers and learners | Hear short passages read aloud | A teacher types a sentence and plays it back for a class. | | Accessibility | Readers who prefer listening | Listen to text instead of reading it | A reader pastes a paragraph and listens to it. | If you need voices of your own or studio quality, skip it, since the source lists only eight built-in voices. ### Where to use it - A web browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Python | Use case | Who | What they get back | | --- | --- | --- | | Try the voices online | Anyone | Speech played from the page, with nothing to install | | Run it locally | Developers | The same interface on your own computer, with low delay for the first chunk | | Study the code | Learners | A short app.py that wraps the model in a Gradio page | ### How to set it up - Python 3.10 or newer and PyTorch 2.5 or newer, as the README asks - pip, and the packages in requirements.txt 1. Install the huggingface\_hub package. 2. Download the Space into a local folder named pocket-tts. 3. Move into that folder. 4. Install gradio at version 6.3.0. 5. Install the packages listed in requirements.txt. 6. Start the app. ```sh pip install -U huggingface_hub hf download D3vShoaib/pocket-tts --repo-type space --local-dir pocket-tts cd pocket-tts pip install gradio==6.3.0 pip install -r requirements.txt python app.py ``` The README also lists a shorter package line for the dependencies. ```sh pip install gradio pocket-tts torch ``` ### How to use it Open the Space's page, or start the app locally with the command below. Type your text, choose one of the built-in voices and generate the speech. ```sh python app.py ``` | Tool | What it does | | --- | --- | | app.py | Starts the Gradio interface around the PocketTTS model | | Voice choice | Picks one of alba, marius, javert, jean, fantine, cosette, eponine or azelma | ### Example You type a short sentence, pick the default voice alba and ask the app to speak it. It returns audio of the sentence in that voice. ### For newcomers and experts If you are new, open the Space's page, type a sentence and try the default voice alba. Then change the voice and listen to the difference. If you know the field, the model is small at about 100 million parameters and tuned for CPU use. The README quotes roughly 200 milliseconds to the first chunk on local installs. Speed on the free hosted CPU may differ. Type your text → Pick a built-in voice → PocketTTS model runs on the CPU → Audio plays back in the page ### Good to know - It is an independent demo and not officially tied to Kyutai Labs - Only the eight built-in voices are listed - License: apache-2 - Cost to run: none named - Data it reaches: the text you type, which the model turns into audio ## README ````markdown # Pocket TTS (CPU) Turns typed text into speech in a web page, using Kyutai's small text-to-speech model on a plain CPU with a choice of built-in voices. It suits anyone who wants spoken audio without a GPU. Made by D3vShoaib 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 is a Gradio web interface for PocketTTS, a text-to-speech model from Kyutai Labs with about 100 million parameters. The model is built to run on an ordinary CPU, so no graphics card is needed. The repository has just a few files, including app.py and requirements.txt, and the Space runs on Hugging Face's free CPU hardware. Who it suits: It suits people who want to hear text read aloud, and developers who want a small, local speech demo without GPU hardware. ```table Industry | Who uses it | How they use it | Example Content creation | Video and podcast makers | Turn a draft script into a spoken scratch track | A maker pastes a script and picks the voice alba to hear the pacing. Software | Developers | Run a lightweight speech model locally and read how the interface is wired | A developer installs the packages and starts app.py on a laptop. Education | Teachers and learners | Hear short passages read aloud | A teacher types a sentence and plays it back for a class. Accessibility | Readers who prefer listening | Listen to text instead of reading it | A reader pastes a paragraph and listens to it. ``` If you need voices of your own or studio quality, skip it, since the source lists only eight built-in voices. Where to use it: - A web browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Python ```table Use case | Who | What they get back Try the voices online | Anyone | Speech played from the page, with nothing to install Run it locally | Developers | The same interface on your own computer, with low delay for the first chunk Study the code | Learners | A short app.py that wraps the model in a Gradio page ``` How to set it up: - Python 3.10 or newer and PyTorch 2.5 or newer, as the README asks - pip, and the packages in requirements.txt 1. Install the huggingface_hub package. 2. Download the Space into a local folder named pocket-tts. 3. Move into that folder. 4. Install gradio at version 6.3.0. 5. Install the packages listed in requirements.txt. 6. Start the app. ```sh pip install -U huggingface_hub hf download D3vShoaib/pocket-tts --repo-type space --local-dir pocket-tts cd pocket-tts pip install gradio==6.3.0 pip install -r requirements.txt python app.py ``` The README also lists a shorter package line for the dependencies. ```sh pip install gradio pocket-tts torch ``` How to use it: Open the Space's page, or start the app locally with the command below. Type your text, choose one of the built-in voices and generate the speech. ```sh python app.py ``` ```table Tool | What it does app.py | Starts the Gradio interface around the PocketTTS model Voice choice | Picks one of alba, marius, javert, jean, fantine, cosette, eponine or azelma ``` Example: You type a short sentence, pick the default voice alba and ask the app to speak it. It returns audio of the sentence in that voice. For newcomers and experts: If you are new, open the Space's page, type a sentence and try the default voice alba. Then change the voice and listen to the difference. If you know the field, the model is small at about 100 million parameters and tuned for CPU use. The README quotes roughly 200 milliseconds to the first chunk on local installs. Speed on the free hosted CPU may differ. ```flow Type your text Pick a built-in voice PocketTTS model runs on the CPU Audio plays back in the page ``` Good to know: - It is an independent demo and not officially tied to Kyutai Labs - Only the eight built-in voices are listed - License: apache-2 - Cost to run: none named - Data it reaches: the text you type, which the model turns into audio ## On Hugging Face, 13 November 2026 - Likes: 11 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/D3vShoaib/pocket-tts - Files: https://huggingface.co/spaces/D3vShoaib/pocket-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 [D3vShoaib/pocket-tts on Hugging Face](https://huggingface.co/spaces/D3vShoaib/pocket-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 | | --- | --- | --- | --- | --- | | Pocket TTS (CPU) (this page) | 11 | gradio | apache-2.0 | 2026-01-15 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [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 | 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: 2026-01-15 - First published: 2026-01-14 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open D3vShoaib/pocket-tts on Hugging Face](https://huggingface.co/spaces/D3vShoaib/pocket-tts) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/cbfc466e-9a05-4f3c-a3f1-5c6f59646a0f) - [Its page on Mindket](https://mindket.com/p/cbfc466e-9a05-4f3c-a3f1-5c6f59646a0f)