A web-based or desktop app where creators type or speak a “music prompt” (e.g. “Upbeat 115 BPM house track with soulful vocals, optimized for workout playlists”).
The tool then generates, tags, and prepares the track so it’s most likely to be favored by recommendation algorithms on major DSPs.
🧠 Core Components
1. Prompt Interpreter
Converts the natural-language prompt (like you’d use in Suno or Udio) into structured music metadata:
Genre, mood, BPM, key, structure, energy curve, vocal presence, emotional intent.
Could use a large language model (LLM) fine-tuned on hit songs’ metadata and listener engagement data.
2. AI Composition Engine
Connects to generative music APIs (like Suno, Udio, Mubert, or an open-source model).
Generates stems, mix, and mastered audio using the structured metadata.
Outputs a fully mastered WAV/MP3 ready for upload.
3. Algorithmic “Fit” Analyzer
Compares the generated track’s features (spectral profile, tempo, loudness, dynamics) against those com…
