Polymath utilizes machine learning to transform any music library, whether it is from a Hard-Drive or YouTube, into a sample-library for music production. The tool is capable of automatically separating songs into stems such as beats and bass, and then quantizing them to a consistent tempo and beat-grid of, for example, 120bpm. Additionally, it analyzes the musical structure (verse, chorus, etc.), key (C4, E3, etc.), and other information such as timbre and loudness. As a result, it creates a searchable sample library that enhances the workflow for music producers, DJs, and ML audio developers.