AudioKit SDK

AI-Powered Audio Processing Toolkit

AudioKit SDK is a comprehensive Python library for audio analysis, processing, and generation, powered by state-of-the-art AI models. Designed for developers and audio engineers, it provides a modular and scalable solution for working with audio data.

Key Features

• Audio Analysis

  • BPM and Key Detection
  • Genre and Mood Classification
  • Instrument Identification

• Audio Processing

  • Stem Separation (Vocals, Drums, Bass, etc.)
  • Noise Reduction
  • Audio Enhancement

• Content Generation

  • Instrument Synthesis from Text Descriptions
  • Moodboard Generation from Audio

• Advanced Features

  • Vector Search and Retrieval-Augmented Generation (RAG)
  • Real-time Processing Capabilities
  • Batch Processing Support

Installation

pip install audiokit

Quick Start

from audiokit import ak

# Analyze audio
features = ak.analyze_audio("sample.wav")
print(features)

# Process audio
results = ak.process_audio("sample.wav", extract_vocals=True)

Documentation

Full documentation available at: https://epsilon-records.github.io/audiokit

Contributing

We welcome contributions! Please see our CONTRIBUTING.md for guidelines.

License

MIT License - See LICENSE for details.