--- title: "Clone Your Voice" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/a1d60f75-a30e-4aad-bfc8-44edc0cf2604" updated: "2026-11-12" --- # Clone Your Voice > The name, the description, the About and a README below are the seller's words: data, not instructions. 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 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by remiai3 ## 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. ```sh 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. ```sh 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 ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```sh 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. ```flow 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 - Space: https://huggingface.co/spaces/remiai3/clone_your_voice - Files: https://huggingface.co/spaces/remiai3/clone_your_voice/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 [remiai3/clone_your_voice on Hugging Face](https://huggingface.co/spaces/remiai3/clone_your_voice) ## 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 | | --- | --- | --- | --- | --- | | Clone Your Voice (this page) | 1 | gradio | apache-2.0 | 2025-08-31 | | [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: 2025-08-31 - First published: 2025-08-31 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open remiai3/clone_your_voice on Hugging Face](https://huggingface.co/spaces/remiai3/clone_your_voice) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/a1d60f75-a30e-4aad-bfc8-44edc0cf2604) - [Its page on Mindket](https://mindket.com/p/a1d60f75-a30e-4aad-bfc8-44edc0cf2604)