Mindket

Clone Your Voice

Newversion 1 · updated

Overview

Upload a short voice sample, type any text, and get speech in the cloned voice from Coqui XTTS-v2. Runs on a CPU, in your browser on Hugging Face or on your own computer.

Clone Your Voice is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python on Windows, macOS or Linux
  • The pip command
  • The packages in requirements.txt, which include TTS, torch, pydub and gradio
Runs in
  • A web browser, on the Space's page at Hugging Face
  • A local copy on Windows, macOS or Linux, running Python
  • Hugging Face's cpu-basic hardware, where the online Space runs
Start with
pip install -U huggingface_hub
hf download remiai3/clone_your_voice --repo-type space --local-dir clone_your_voice
cd clone_your_voice

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space is a voice cloning demo. You upload a short recording of a voice and type some text, and the app speaks that text in the voice from the recording.

It uses Coqui XTTS-v2 for the speech and Gradio for the page. It runs on a CPU, so it needs no GPU.

Who it suits

It suits people who want to hear what voice cloning sounds like, and developers who want a small Gradio and Coqui TTS example to read. Use only voices you have the right to copy.

IndustryWho uses itHow they use itExample
Content creationVideo and podcast makersClone their own voice for a short narrationHearing a script read in their own voice
EducationTeachersShow students how voice cloning worksDemonstrating a text-to-speech model in class
AccessibilityPeople who want a spoken version of textGenerate speech from typed textListening to a short note read aloud
AI developmentDevelopersRead app.py and requirements.txtBuilding a similar CPU-only demo

Skip it if you need several languages or audio-to-audio cloning, since the README lists those as future plans.

Where to use it

The app runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • A local copy on Windows, macOS or Linux, running Python
  • Hugging Face's cpu-basic hardware, where the online Space runs
Use caseWhoWhat they get back
Clone a voice from a sampleCreatorsSpeech in the voice from the recording
Speak any typed textAnyoneAn audio file of that text
Study the appDevelopersA short Gradio and TTS repository

How to set it up

Online you only need a browser. A local copy needs these.

  • Python on Windows, macOS or Linux
  • The pip command
  • The packages in requirements.txt, which include TTS, torch, pydub and gradio
  1. Install the huggingface_hub package.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install gradio at version 5.44.1.
  5. Install the packages listed in requirements.txt.
  6. Start the app with python app.py.
pip install -U huggingface_hub
hf download remiai3/clone_your_voice --repo-type space --local-dir clone_your_voice
cd clone_your_voice
pip install gradio==5.44.1
pip install -r requirements.txt
python app.py

How to use it

Start the app and open the page it serves on port 7860, or open the Space's page. Upload a sample recording in mp3 or wav format, type the text you want spoken and run it.

python app.py

The README says quality depends on how long and clear the sample is. Clean recordings of about 5 to 10 seconds or more work best.

Example

You upload a clean 10-second recording of your voice and type a short sentence. The app returns an audio clip of that sentence spoken in your voice.

For newcomers and experts

If you are new, record yourself in a quiet room for about ten seconds, then upload that file. A clear sample matters more than anything else you can change.

If you know the field, the app wraps Coqui XTTS-v2 with TTS 0.22.0 and torch on a CPU. That keeps it free of GPU needs, and the README warns that CPU inference can be slower than a GPU.

  1. Upload a voice sample
  2. Type the text to speak
  3. XTTS-v2 clones the voice on a CPU
  4. You get an audio clip

Good to know

Voice cloning can misuse someone's identity, so clone only a voice you own or have permission to use. The README lists audio-to-audio cloning and multi-language support as future plans.

  • License: apache-2
  • Cost to run: none named. The README says it works on a free Space with no GPU
  • Data it reaches: the voice sample and text you give it. The source says nothing else.
  • Not for: audio-to-audio cloning or multiple languages, which the README lists as future plans

README and files

README

Clone Your Voice

Upload a short voice sample, type any text, and get speech in the cloned voice from Coqui XTTS-v2. Runs on a CPU, in your browser on Hugging Face or on your own computer.

Made by remiai3 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 is a voice cloning demo. You upload a short recording of a voice and type some text, and the app speaks that text in the voice from the recording.

It uses Coqui XTTS-v2 for the speech and Gradio for the page. It runs on a CPU, so it needs no GPU.

Who it suits: It suits people who want to hear what voice cloning sounds like, and developers who want a small Gradio and Coqui TTS example to read. Use only voices you have the right to copy.

Industry | Who uses it | How they use it | Example
Content creation | Video and podcast makers | Clone their own voice for a short narration | Hearing a script read in their own voice
Education | Teachers | Show students how voice cloning works | Demonstrating a text-to-speech model in class
Accessibility | People who want a spoken version of text | Generate speech from typed text | Listening to a short note read aloud
AI development | Developers | Read app.py and requirements.txt | Building a similar CPU-only demo

Skip it if you need several languages or audio-to-audio cloning, since the README lists those as future plans.

Where to use it: The app runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • A local copy on Windows, macOS or Linux, running Python
  • Hugging Face's cpu-basic hardware, where the online Space runs
Use case | Who | What they get back
Clone a voice from a sample | Creators | Speech in the voice from the recording
Speak any typed text | Anyone | An audio file of that text
Study the app | Developers | A short Gradio and TTS repository

How to set it up: Online you only need a browser. A local copy needs these.

  • Python on Windows, macOS or Linux
  • The pip command
  • The packages in requirements.txt, which include TTS, torch, pydub and gradio
  1. Install the huggingface_hub package.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install gradio at version 5.44.1.
  5. Install the packages listed in requirements.txt.
  6. Start the app with python app.py.
pip install -U huggingface_hub
hf download remiai3/clone_your_voice --repo-type space --local-dir clone_your_voice
cd clone_your_voice
pip install gradio==5.44.1
pip install -r requirements.txt
python app.py

How to use it: Start the app and open the page it serves on port 7860, or open the Space's page. Upload a sample recording in mp3 or wav format, type the text you want spoken and run it.

python app.py

The README says quality depends on how long and clear the sample is. Clean recordings of about 5 to 10 seconds or more work best.

Example: You upload a clean 10-second recording of your voice and type a short sentence. The app returns an audio clip of that sentence spoken in your voice.

For newcomers and experts: If you are new, record yourself in a quiet room for about ten seconds, then upload that file. A clear sample matters more than anything else you can change.

If you know the field, the app wraps Coqui XTTS-v2 with TTS 0.22.0 and torch on a CPU. That keeps it free of GPU needs, and the README warns that CPU inference can be slower than a GPU.

Upload a voice sample
Type the text to speak
XTTS-v2 clones the voice on a CPU
You get an audio clip

Good to know: Voice cloning can misuse someone's identity, so clone only a voice you own or have permission to use. The README lists audio-to-audio cloning and multi-language support as future plans.

  • License: apache-2
  • Cost to run: none named. The README says it works on a free Space with no GPU
  • Data it reaches: the voice sample and text you give it. The source says nothing else.
  • Not for: audio-to-audio cloning or multiple languages, which the README lists as future plans

On Hugging Face, 13 November 2026

  • Likes: 1
  • Built with: gradio
  • License: apache-2.0

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
Clone Your Voice This page1gradioapache-2.0
MusicGenShares gradio5,116gradiocc-by-nc-4.0
Kokoro TTSShares gradio3,556gradioapache-2.0
Background RemovalShares gradio2,988gradiomit
Omni Image EditorShares gradio2,922gradiomit
Diffusers Image OutpaintShares gradio2,565gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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