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The Complete Kokoro TTS API is a production-grade text-to-speech server with robust text processing, zero-default audio effects, and local playback control. It supports multiple voices, various audio formats, and advanced features like pitch shifting, formant modification, and dynamic range compression.

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πŸŽ™οΈ Complete Kokoro TTS API

Python Flask License: MIT PyTorch

A lightning-fast, production-grade text-to-speech server with OpenAI-style quality, robust text processing, and accessibility-first design. Processing time: ~1 second with nearly instant output.

Created by nodeblackbox - Making accessibility available for everyone.

✨ Overview

The Complete Kokoro TTS API delivers OpenAI-style text-to-speech quality with exceptional performance and accessibility features. Designed with a commitment that accessibility should be for everyone, this API provides crystal-clear voices especially suitable for dyslexic users and assistive technology integration.

πŸš€ Performance Highlights:

  • ~1 second total processing time
  • Nearly instant audio output
  • GPU acceleration available
  • Real-time streaming capabilities

🎯 Accessibility & Integration

πŸ”— Read Aloud Chrome Extension Integration

This API seamlessly integrates with the Read Aloud Chrome extension, providing an excellent solution for dyslexic users and anyone who benefits from text-to-speech technology.

Setup Instructions:

  1. Install the Extension: Add Read Aloud to Chrome
  2. Configure API Endpoint: http://127.0.0.1:5000/v1
  3. API Key: your-secret-key
  4. Select from 28 High-Quality Voices (see voice configuration below)

🎀 Available Voices for Read Aloud

[
  { "lang": "en-US", "model": "tts-1", "voice": "af_heart" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_bella" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_nicole" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_aoede" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_kore" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_sarah" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_nova" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_sky" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_alloy" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_jessica" },
  { "lang": "en-US", "model": "tts-1", "voice": "af_river" },
  { "lang": "en-US", "model": "tts-1", "voice": "am_michael" },
  { "lang": "en-US", "model": "tts-1", "voice": "am_fenrir" },
  { "lang": "en-US", "model": "tts-1", "voice": "am_puck" },
  { "lang": "en-US", "model": "tts-1", "voice": "am_echo" },
  { "lang": "en-US", "model": "tts-1", "voice": "am_eric" },
  { "lang": "en-US", "model": "tts-1", "voice": "am_liam" },
  { "lang": "en-US", "model": "tts-1", "voice": "am_onyx" },
  { "lang": "en-US", "model": "tts-1", "voice": "am_santa" },
  { "lang": "en-US", "model": "tts-1", "voice": "am_adam" },
  { "lang": "en-GB", "model": "tts-1", "voice": "bf_emma" },
  { "lang": "en-GB", "model": "tts-1", "voice": "bf_isabella" },
  { "lang": "en-GB", "model": "tts-1", "voice": "bf_alice" },
  { "lang": "en-GB", "model": "tts-1", "voice": "bf_lily" },
  { "lang": "en-GB", "model": "tts-1", "voice": "bm_george" },
  { "lang": "en-GB", "model": "tts-1", "voice": "bm_fable" },
  { "lang": "en-GB", "model": "tts-1", "voice": "bm_lewis" },
  { "lang": "en-GB", "model": "tts-1", "voice": "bm_daniel" }
]

πŸš€ Features

Core Features

  • πŸ”§ Robust Text Processing: Intelligent handling of markdown, Unicode characters, numbers, abbreviations, and special formatting
  • ⚑ Ultra-Fast Performance: ~1 second total processing with nearly instant output
  • 🎚️ Zero-Default Effects: Clean audio output with effects only when explicitly configured
  • 🎡 Local Playback Control: Built-in audio playback with interrupt capability and session management
  • πŸ“‘ Real-time Streaming: Live audio streaming support for compatible clients
  • 🎼 Advanced Audio Effects: FIXED and robust pitch shifting with librosa compatibility
  • 🌐 Browser Integration: Full CORS support for browser extensions and web applications
  • β™Ώ Accessibility First: Crystal-clear voices optimized for dyslexic users and assistive technology

Audio Processing

  • 28 High-quality voices (20 US English, 8 British English)
  • OpenAI-style TTS quality with superior clarity
  • Various audio format outputs
  • Pitch shifting and formant modification
  • Dynamic range compression
  • Professional-grade audio processing

Developer Experience

  • RESTful API design
  • OpenAPI specification
  • Comprehensive error handling
  • Session-based playback management
  • Easy integration with existing applications
  • Chrome extension compatibility

πŸ“‹ Table of Contents

⚑ Quick Start

# Clone the repository
git clone https://github.com/your-username/Kokoro-Voice-Api.git
cd Kokoro-Voice-Api

# Install dependencies
pip install -r requirements.txt

# Run the server
python kokoro_api.py

# Test the API
curl -X POST \
  -H "Content-Type: application/json" \
  -d '{"input": "Hello, world!", "voice": "af_heart"}' \
  http://localhost:5000/v1/audio/speech

πŸ“¦ Installation

Prerequisites

  • Python 3.8+ (recommended: Python 3.10+)
  • PyTorch with CUDA support (optional, for GPU acceleration)
  • Git for cloning the repository

Step-by-Step Installation

  1. Clone the Repository

    git clone https://github.com/your-username/Kokoro-Voice-Api.git
    cd Kokoro-Voice-Api
  2. Create Virtual Environment (Recommended)

    python -m venv venv
    
    # On Windows
    venv\Scripts\activate
    
    # On macOS/Linux
    source venv/bin/activate
  3. Install Dependencies

    pip install -r requirements.txt
  4. Verify Installation

    python -c "import torch, librosa, flask; print('βœ… All dependencies installed successfully!')"

πŸ”§ Configuration

Environment Variables

# Server Configuration
export TTS_HOST=0.0.0.0
export TTS_PORT=5000
export TTS_DEBUG=false

# Audio Configuration
export TTS_SAMPLE_RATE=22050
export TTS_AUDIO_FORMAT=wav

# Performance
export TTS_MAX_TEXT_LENGTH=1000
export TTS_CACHE_SIZE=100

Configuration File

Create a config.yaml file in the project root:

server:
  host: "0.0.0.0"
  port: 5000
  debug: false

audio:
  sample_rate: 22050
  format: "wav"
  quality: "high"

processing:
  max_text_length: 1000
  cache_enabled: true
  cache_size: 100

πŸ“‘ API Endpoints

Speech Generation

Endpoint Method Description
/v1/audio/speech POST Standard speech generation with clean zero-default effects
/v1/audio/speech/robust POST Enhanced speech generation with advanced text processing
/v1/audio/speech/stream POST Real-time streaming speech generation

Playback Control

Endpoint Method Description
/v1/audio/speech/play POST Local playback with session control
/v1/audio/speech/stop POST Stop/interrupt current playback
/v1/audio/speech/status GET Get current playback status

System Information

Endpoint Method Description
/health GET Health check endpoint
/voices GET List available voices
/version GET API version information

πŸ’‘ Usage Examples

Basic Text-to-Speech

curl -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Hello, world! This is a test of the Kokoro TTS API.",
    "voice": "af_heart"
  }' \
  http://localhost:5000/v1/audio/speech \
  --output hello.wav

Squeaky Voice Effect

curl -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "input": "I sound like a chipmunk!",
    "voice": "af_heart",
    "effects": {
      "pitch": {
        "semitone_shift": 8.0
      }
    }
  }' \
  http://localhost:5000/v1/audio/speech \
  --output squeaky.wav

Deep Voice Effect

curl -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "input": "I have a very deep voice now.",
    "voice": "af_heart",
    "effects": {
      "pitch": {
        "semitone_shift": -6.0
      }
    }
  }' \
  http://localhost:5000/v1/audio/speech \
  --output deep.wav

Robust Text Processing

curl -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "input": "Process this: **bold text**, _italic_, numbers: 123, $50.99, and 50% off!",
    "voice": "af_heart",
    "robust_processing": true
  }' \
  http://localhost:5000/v1/audio/speech/robust \
  --output processed.wav

Streaming Audio

curl -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "input": "This will be streamed in real-time as it is generated.",
    "voice": "af_heart",
    "stream": true
  }' \
  http://localhost:5000/v1/audio/speech/stream \
  --output stream.wav

Local Playback Control

# Start playback
curl -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "input": "This will play locally on the server.",
    "voice": "af_heart",
    "session_id": "my-session"
  }' \
  http://localhost:5000/v1/audio/speech/play

# Check status
curl http://localhost:5000/v1/audio/speech/status

# Stop playback
curl -X POST \
  -H "Content-Type: application/json" \
  -d '{"session_id": "my-session"}' \
  http://localhost:5000/v1/audio/speech/stop

🎨 Audio Effects

Pitch Modification

{
  "effects": {
    "pitch": {
      "semitone_shift": 4.0,     // Shift by semitones (-12 to +12)
      "preserve_formants": true   // Maintain voice character
    }
  }
}

Dynamic Range Compression

{
  "effects": {
    "compression": {
      "ratio": 4.0,              // Compression ratio
      "threshold": -20.0,        // Threshold in dB
      "attack": 0.003,           // Attack time in seconds
      "release": 0.1             // Release time in seconds
    }
  }
}

Multiple Effects

{
  "effects": {
    "pitch": {
      "semitone_shift": 2.0
    },
    "compression": {
      "ratio": 2.0,
      "threshold": -18.0
    },
    "reverb": {
      "room_size": 0.3,
      "damping": 0.5,
      "wet_level": 0.2
    }
  }
}

πŸ› οΈ Development

Running in Development Mode

# Enable debug mode
export FLASK_ENV=development
export TTS_DEBUG=true

# Run with auto-reload
python kokoro_api.py

Running Tests

# Install test dependencies
pip install pytest pytest-cov

# Run tests
pytest tests/ -v --cov=kokoro_api

Docker Support

# Build Docker image
docker build -t kokoro-tts-api .

# Run container
docker run -p 5000:5000 kokoro-tts-api

πŸ“š API Documentation

OpenAPI Specification

The complete API documentation is available in OpenAPI format:

  • Specification File: openapi.yaml
  • Interactive Documentation: Visit /docs when the server is running
  • Redoc Documentation: Visit /redoc when the server is running

Response Formats

All endpoints return standardized responses:

Success Response:

{
  "success": true,
  "data": {
    "audio_url": "/generated/audio.wav",
    "duration": 2.5,
    "sample_rate": 22050
  },
  "metadata": {
    "voice": "af_heart",
    "effects_applied": ["pitch_shift"],
    "processing_time": 0.85
  }
}

Error Response:

{
  "success": false,
  "error": {
    "code": "INVALID_VOICE",
    "message": "The specified voice 'invalid_voice' is not available",
    "details": {
      "available_voices": ["af_heart", "af_bella", "af_sarah"]
    }
  }
}

🀝 Contributing

We welcome contributions! Please follow these steps:

  1. Fork the Repository

    git fork https://github.com/your-username/Kokoro-Voice-Api.git
  2. Create a Feature Branch

    git checkout -b feature/amazing-new-feature
  3. Make Your Changes

    • Follow PEP 8 style guidelines
    • Add tests for new functionality
    • Update documentation as needed
  4. Run Tests

    pytest tests/ -v
    black kokoro_api.py
    flake8 kokoro_api.py
  5. Submit a Pull Request

    • Provide a clear description of your changes
    • Reference any related issues
    • Ensure all tests pass

Development Guidelines

  • Code Style: Follow PEP 8 and use black for formatting
  • Testing: Maintain >90% test coverage
  • Documentation: Update docstrings and README for new features
  • Performance: Profile code for optimization opportunities

πŸ”’ Security

  • API Keys: Never hardcode API keys; use environment variables
  • Input Validation: All inputs are sanitized and validated
  • Rate Limiting: Built-in rate limiting to prevent abuse
  • CORS: Configurable CORS settings for web integration

πŸ“Š Performance

Benchmarks

  • Average Response Time: ~1 second for 50-word text
  • Output Latency: Nearly instant audio delivery
  • Concurrent Requests: Supports up to 10 simultaneous requests
  • Memory Usage: ~200MB baseline + ~50MB per active session
  • GPU Acceleration: 3x faster processing with CUDA-enabled PyTorch
  • Voice Quality: OpenAI-comparable clarity and naturalness

Optimization Tips

  • Use GPU acceleration when available for fastest processing
  • Enable caching for repeated requests
  • Batch multiple requests when possible
  • Use streaming for long-form content
  • Perfect for real-time applications and accessibility tools

🌟 Accessibility Statement

We believe accessibility should be for everyone. This API is specifically designed with dyslexic users and assistive technology in mind, providing:

  • Crystal-clear voice quality optimized for comprehension
  • Multiple accent options (US and British English)
  • Fast processing for responsive user experience
  • Browser extension compatibility for seamless web integration
  • Professional-grade audio without distortion or artifacts

Perfect for:

  • πŸ“š Dyslexic students and professionals
  • πŸ‘©β€πŸ¦― Users with visual impairments
  • 🧠 People with learning differences
  • πŸ‘₯ Anyone who benefits from audio content
  • 🌐 Web accessibility implementations

πŸ™ Acknowledgments

  • nodeblackbox - Project creator and maintainer
  • Kokoro TTS Team for the underlying neural TTS technology
  • PyTorch Team for the deep learning framework
  • Librosa Contributors for audio processing capabilities
  • Flask Community for the web framework
  • Accessibility advocates who inspire inclusive technology

⬆ Back to Top

Made with ❀️ for accessibility by nodeblackbox

"Accessibility should be for everyone"

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The Complete Kokoro TTS API is a production-grade text-to-speech server with robust text processing, zero-default audio effects, and local playback control. It supports multiple voices, various audio formats, and advanced features like pitch shifting, formant modification, and dynamic range compression.

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