Polymath

Tools based on machine learning are used to convert music libraries into searchable sample collections for use in music production.

#ai-Music and Audio #New AI

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Introduction

ML-powered tool to convert music libraries into searchable sample libraries for music production.

What is a Polymath?

Polymath utilizes machine learning to convert any music library – whether stored on a hard drive or available on YouTube – into a library of samples suitable for music production. This tool automatically separates songs into individual tracks (such as drums, bass, etc.), quantifies them to conform to the same tempo and rhythmic structure (for example, 120 BPM), analyzes musical elements such as the main verse and chorus, pitch levels (e.g., C4, E3), and other relevant characteristics, and then converts the audio data into MIDI format. The result is a searchable sample library that significantly simplifies the work process for music producers, DJs, and machine learning specialists in the audio development field.

How to use Polymath?

Add songs from your hard drive or YouTube to the Polymath library. This tool automatically analyzes, separates, quantifies, and converts the audio files. Use the search function to find similar tracks and create mixtures.

The core functions of Polymath

Automatically separates music into individual tracks (drums, bass, etc.)
Unifying the quantization of tempo and the tempo grid
Analysis of musical structure (chorus, refrain, etc.)
tone detection
Converting audio to MIDI format
searchable sample library

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Updated：2026-11-07