Enables AI agents to analyze audio files, extracting tempo, key, beat drops, volume surges, high tones, loudness, brightness, and structure, and returning structured JSON and visualizations.
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 LLMs to analyze music (genre, mood, tempo, key), separate audio stems, detect AI-generated music, and measure loudness using IRCAM Amplify's audio processing APIs.
Enables AI agents to detect AI-generated music, images, and video by analyzing files through SongCheck's ensemble detector, providing verdicts and confidence scores.