Polymath — Convert Music Libraries to Audio Samples

Polymath is an automated audio analysis and stem separation tool for music producers and audio developers

Polymath is an open-source machine learning tool designed to convert existing music libraries into organized, production-ready sample collections. It is built for music producers, DJs, and audio developers who need to extract high-quality stems and musical data from full tracks for creative reuse. By utilizing advanced separation algorithms, Polymath breaks down songs into individual components like drums, bass, and vocals while automatically aligning them to a consistent beat-grid. The software goes beyond simple stem separation by analyzing the technical attributes of every file in the library. Polymath identifies the musical key, tempo, timbre, and average volume levels, storing this information in a structured database. This allows users to search their entire collection for specific sounds, such as a bassline in C-minor or a vocal hook at 120 BPM. Business owners in the music industry can use this to rapidly prototype tracks or manage vast catalogs of audio assets. By automating the tedious process of manual slicing and tempo matching, Polymath significantly reduces the time required for music production and sound design. You can discover more technical resources and similar tools on surfai.app to enhance your creative pipeline in 2026. The tool creates a searchable, metadata-rich environment that turns a raw folder of MP3s into a sophisticated production asset. Polymath is available as an open-source project, allowing for free local deployment and customization.

• Pricing: freemium

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