Pocket TTS (CPU)

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.

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.

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.

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.

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

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.