• High-Quality TTS: Powered by the advanced Kokoro TTS pipeline
• Multiple Voices: Choose from a wide variety of natural-sounding voices
• Customizable Output: Adjust speech speed and pitch with precision
• Batch Processing: Generate audio from multi-paragraph text input with natural pauses
• Real-time Preview: Instant audio playback within the interface

• Modern Design: Built with NiceGUI for a sleek, responsive web interface
• Intuitive Controls: Simple, user-friendly experience
• Progress Indicators: Visual feedback for pipeline loading and audio generation
• Dark Mode: Easy on the eyes for extended use
• Responsive Layout: Works across devices and screen sizes

• WAV Format: High-quality audio output
• Automatic Naming: Unique identifiers for each generated file
• Local Processing: All data processed on your machine for privacy
• Cross-Platform: Works on Windows and Linux

1. Download the appropriate release for your platform from the Releases page
2. Extract the downloaded archive (if applicable)
3. Run the application:
   • Windows: Double-click the .exe file
   • Linux: Make the AppImage executable (chmod +x KokoroTTSGenerator.AppImage) and run it
4. Wait for the TTS pipeline to initialize on first run (may take a few minutes)

# Clone the repository
git clone https://github.com/WilleIshere/KokoroTTSGenerator.git
cd KokoroTTSGenerator

# Create virtual environment and install dependencies with UV
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv sync

# Run the application
python app.py

• Operating System: Windows 10/11 or Linux
• Memory: 4GB RAM minimum (8GB recommended)
• Storage: 2GB+ free space for model files and audio output
• Internet: Required for initial model download
• No Python installation needed for compiled versions

• Version: 0.1.0
• Formats:

  • Windows: Standalone executable (.exe) - no installation required

  • Linux: AppImage (.AppImage) - runs anywhere

  • Source: Python package (requires Python 3.12 & UV)

• Size: ~300MB (includes all dependencies and runtime)

⬇️ Download Latest Release

Note: For the compiled versions, no Python installation or additional dependencies are required. Everything is bundled in the executable.

1. First Launch: Wait for the TTS pipeline to initialize (first run only)
2. Select Voice: Choose from available voices in the dropdown
3. Adjust Parameters: Set speech speed and pitch using the sliders
4. Enter Text: Type or paste text into the text area
5. Generate: Click "Generate Audio" to create speech
6. Enjoy: Preview the audio directly in the app and download the WAV file

The application includes a variety of high-quality voices:

• Female Voices: af_alloy, af_aoede, af_bella, af_jessica, af_kore, af_nicole, af_nova, af_river, af_sarah, af_sky
• Male Voices: am_adam, am_echo, am_eric, am_fenrir, am_liam, am_michael, am_onyx, am_puck, am_santa

All voices are included in the compiled versions - no additional downloads required.

• Long Text: Break long texts into paragraphs for better processing
• Punctuation: Use proper punctuation for natural speech rhythm
• Speed & Pitch: Experiment with different settings for optimal results
• Browser Compatibility: Works best in modern browsers

This project has been architected with a modular design for maintainability and extensibility:

KokoroTTSGenerator/
├── 🚀 app.py                    # Main entry point
├── 📁 src/                      # Source code
│   ├── gui.py                   # Web interface implementation
│   └── tts.py                   # TTS pipeline implementation
├── 📁 final_audio/              # Output directory for generated audio
├── 📁 temp/                     # Temporary working directory
├── 📄 pyproject.toml            # Dependencies and project configuration
└── 📄 uv.lock                   # UV dependencies lockfile

• Modern Web Interface: Built with NiceGUI for a responsive experience
• Efficient Pipeline: Fast, high-quality audio generation
• Clean Separation: UI and TTS logic kept separate for maintainability
• Python-powered: Leverages the best Python libraries for TTS

# Ensure you have Python 3.12 installed
python --version

# Clone the repository
git clone https://github.com/WilleIshere/KokoroTTSGenerator.git
cd KokoroTTSGenerator

# Create virtual environment and install dependencies with UV
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv sync

# For development tools
uv pip install -e ".[dev]"

uv run app.py

• Project Structure: Simple, modular design for easy maintenance
• Kokoro TTS: Leverages the powerful Kokoro TTS pipeline
• NiceGUI: Built with a modern web interface framework
• Compiled Versions: Standalone executables for all platforms

We welcome contributions! Here's how you can help:

# Fork and clone the repository
git clone https://github.com/yourusername/KokoroTTSGenerator.git
cd KokoroTTSGenerator

# Create virtual environment and install dependencies
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv sync
uv pip install -e ".[dev]"

• 🐛 Bug Reports: Found an issue? Please open an issue
• 💡 Feature Requests: Have an idea? We'd love to hear it
• 🔧 Code Contributions: Submit a pull request
• 📚 Documentation: Help improve our docs

• Follow PEP 8 style guidelines
• Add tests for new features
• Update documentation for changes
• Ensure cross-platform compatibility

• Frontend: NiceGUI (Python web interface framework)
• TTS Engine: Kokoro TTS pipeline (v0.9.4+)
• Audio: soundfile, numpy
• Package Management: UV (Fast, reliable Python package manager)
• Dependencies: kokoro, nicegui, torch, soundfile
• Distribution: Standalone executables for Windows and Linux

This project is licensed under the MIT License - see the LICENSE file for details.

• Kokoro TTS: Amazing TTS pipeline that powers this application
• NiceGUI: Beautiful modern web interface framework
• Python Community: For the incredible ecosystem of libraries

• 📖 Documentation: Check our comprehensive docs
• 🐛 Issues: Report bugs or request features on GitHub
• 💬 Discussions: Community Q&A and general discussion

• First Run Slow: Initial pipeline loading downloads models and may take a few minutes
• Memory Usage: TTS models require significant RAM; 8GB recommended for optimal performance
• Antivirus Warnings: Some antivirus software may flag compiled executables; these are false positives
• Linux Permissions: On Linux, remember to make AppImage files executable before running

• ✨ Initial release with core functionality
• 🎯 Multiple voice options
• 🎛️ Speed and pitch controls
• 🎮 Web-based user interface
• 🔊 High-quality audio output
• 📦 Compiled versions for Windows and Linux