Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.
Enables AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient analysis operations.
Enables AI assistants to control Audacity for real-time local audio editing, mastering, and transcription through over 90 specialized tools. It allows users to perform complex audio processing tasks like noise reduction and podcast cleanup using natural language commands.
Exposes audio processing tools (inspect, normalize, trim, fade, gain, filter, speed, reverse) as MCP tools, enabling Claude to manipulate WAV files through natural language commands.
Enables Claude to classify audio across 7,000+ sound classes, including bird species and urban noise, with tools for batch processing, webhooks, and usage tracking.