🗣️ My Own ElevenLabs — Free & Local Voice Cloning

A free, open-source AI voice cloning and text-to-speech (TTS) setup using OpenVoice + MeloTTS. No subscriptions. No credit limits. No servers. Just your voice, your rules, running locally on your own PC.

Built for content creators, podcasters, and researchers who want full control over their AI voice tools.

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🚀 Features

• 🧠 Voice Cloning — Generate speech that sounds like your recorded voice
• 🎧 Text-to-Speech (TTS) — Convert any text into natural speech
• 💻 Offline & Private — Runs fully on your PC, no cloud required
• 🌎 Multilingual Support — English, Spanish, French, Chinese, Japanese, Korean
• 🎨 Open Source & Free — Build your own ElevenLabs-style system at no cost
• ⚙️ Gradio Interface — Simple web UI for testing voices instantly

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📦 Requirements

• Windows 10 / 11
• Python 3.10+
• Git
• FFmpeg
• (Optional) NVIDIA GPU with CUDA 12.1 for faster processing

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🛠 Full Setup Guide (Windows)

Root Directory: ..\OpenVoice\

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1️⃣ Clone OpenVoice Repository

git clone https://github.com/myshell-ai/OpenVoice.git .

✅ ..\OpenVoice\ now contains the OpenVoice repo files.

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2️⃣ Create & Activate Virtual Environment

py -3.10 -m venv openVoice_venv
openVoice_venv\Scripts\Activate.ps1

Your PowerShell prompt should now look like this:

(openVoice_venv)

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3️⃣ Install Dependencies

3.1 Install PyTorch (CUDA 12.1)

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

For CPU-only users:

pip install torch torchvision torchaudio

3.2 Install OpenVoice + Extras

pip install -e .
pip install gradio soundfile

3.3 Install MeloTTS

pip install git+https://github.com/myshell-ai/MeloTTS.git
python -m unidic download

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4️⃣ Download Model Checkpoints

4.1 OpenVoice Converter (V2)

📥 Hugging Face – myshell-ai

Place into:

..\OpenVoice\checkpoints_v2\converter\

4.2 MeloTTS Models

📥 Hugging Face – myshell-ai

Place into:

..\OpenVoice\checkpoints_v2\melo\en\

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✅ Final Folder Structure

..\OpenVoice\
 ├── checkpoints_v2\
 │   ├── converter\
 │   │   ├── config.json
 │   │   └── checkpoint.pth
 │   └── melo\
 │       ├── en\*.pth
 ├── samples\
 │   └── sample_1.wav
 ├── openVoice_venv\
 └── ov.py

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5️⃣ Install NLTK Data

python -m nltk.downloader averaged_perceptron_tagger averaged_perceptron_tagger_eng punkt

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6️⃣ Install FFmpeg

1. Download from: https://www.gyan.dev/ffmpeg/builds/
2. Extract the ZIP file (e.g. ffmpeg-2025-win64-gpl).
3. Move it to a folder like C:\ffmpeg\.
4. Add C:\ffmpeg\bin to your Windows PATH.

✅ Test with:

ffmpeg -version

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💻 Run the App

Start the Gradio interface:

python ov.py

Then open your browser and visit:

http://127.0.0.1:7860

You’ll see two tabs:

• 🎙️ Cloned Voice (OpenVoice + MeloTTS)
• 🗣️ Original Voice (MeloTTS default)

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🧩 Example Code (Main Script)

import torch
import gradio as gr
from openvoice import se_extractor
from openvoice.api import ToneColorConverter
from melo.api import TTS

device = "cuda" if torch.cuda.is_available() else "cpu"

converter = ToneColorConverter(
    config_path="checkpoints_v2/converter/config.json",
    device=device
)
converter.load_ckpt("checkpoints_v2/converter/checkpoint.pth")

reference_speaker, *_ = se_extractor.get_se("samples/demo_speaker1.mp3", converter)

def generate_cloned_audio(text, language="EN"):
    output_path = "output/openvoice_v2_out.wav"
    tmp_path = "output/tmp_base.wav"
    tts_model = TTS(language=language, device=device)
    tts_model.tts_to_file(text=text, speaker_id=1, output_path=tmp_path)
    src_se = torch.zeros_like(reference_speaker).to(device)
    converter.convert(tmp_path, src_se, reference_speaker, output_path=output_path)
    return output_path

def generate_original_audio(text, language="EN"):
    output_path = "output/melo_tts_out.wav"
    tts_model = TTS(language=language, device=device)
    tts_model.tts_to_file(text=text, speaker_id=1, output_path=output_path)
    return output_path

# Gradio Interface
with gr.Blocks(title="OpenVoice + MeloTTS Demo") as demo:
    with gr.Tab("Cloned Voice"):
        gr.Interface(fn=generate_cloned_audio, inputs=gr.Textbox(label="Enter text"), outputs=gr.Audio(label="Cloned Voice"))
    with gr.Tab("Original MeloTTS Voice"):
        gr.Interface(fn=generate_original_audio, inputs=gr.Textbox(label="Enter text"), outputs=gr.Audio(label="Original Voice"))

if __name__ == "__main__":
    demo.launch()

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🧠 Tips

• Record a clean 1–3 minute sample of your own voice and save it as samples/yourname.mp3.

• Edit this line in the script:

  reference_speaker, *_ = se_extractor.get_se("samples/yourname.mp3", converter)

• Use that as your personal cloned voice.

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💡 Credits

• 🧩 OpenVoice — Voice conversion engine
• 🔊 MeloTTS — Text-to-speech model
• 🧰 Gradio — Web interface
• 🎛️ FFmpeg — Audio processing

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⚖️ License

This project is free for research and personal use. For commercial use, please review the individual licenses of OpenVoice and MeloTTS on their GitHub pages.

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💬 Contribute

Found a bug or idea for improvement? Open an issue or pull request — let’s make open-source TTS better together!

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⭐ Support the Project

If this helps you:

• Give it a ⭐ on GitHub
• Share your results online
• Tag the project to inspire others