Polymath: AI Sample Library Tool for Music Producers
Polymath uses machine learning to transform any music collection into a fully searchable sample library, automatically splitting tracks into stems and syncing them to a unified tempo.
Overview
Polymath is an ML-powered utility that turns your entire music library—whether pulled from a hard drive or YouTube—into a rich, searchable sample database built for modern production workflows. Rather than manually chopping loops or hunting for the right stem, Polymath automatically separates each track into its component parts (beats, bass, vocals, and more), quantizes everything to a shared tempo and beat-grid, and analyzes musical structure like verses and choruses.
Beyond stem separation, the tool digs deeper into each track's DNA, detecting key, timbre, loudness, and other sonic characteristics, then converts audio into MIDI for even greater flexibility. The end result is a unified, browsable library where producers, DJs, and machine learning developers can search across their entire collection to find complementary elements, build mashups, or assemble training datasets—turning a passive archive of songs into an active creative resource.
Capabilities & Features
- Music production
- Sample library
- Machine learning
- Audio analysis
- Music separation
- Quantization
- MIDI conversion
- Audio processing
Core Features
- Automatic music separation into stems (beats, bass, vocals, etc.)
- Quantization to a unified tempo and beat-grid
- Musical structure analysis (verse, chorus, etc.)
- Key detection for harmonic matching
- Audio to MIDI conversion
- Searchable sample library across an entire music collection
Use Cases
- Blending stems from multiple songs to craft original compositions
- Building seamless mashup or DJ mix sets from a searchable library
- Generating large-scale, structured music datasets for training generative ML models
- Quickly locating harmonically or rhythmically compatible tracks
- Converting audio samples into MIDI for further arrangement
Best For
- Music producers
- DJs
- ML audio developers
- Beatmakers and remixers
- Music dataset researchers
Pros
- •Automates tedious stem separation and tempo-matching work
- •Turns an entire music library into a searchable creative resource
- •Detects key and structure, making harmonic and arrangement matching easier
- •Supports both local files and YouTube as source material
- •Audio-to-MIDI conversion adds extra flexibility for producers
Cons
- •Requires a technical setup with Python and ffmpeg, which may deter non-developers
- •No graphical installer—relies on command-line/terminal usage
- •Stem separation and analysis accuracy will vary depending on source audio quality
- •No listed pricing or licensing information, suggesting it may require self-hosting or developer familiarity
How to Use
Start by importing songs into your Polymath library, either from local hard drive files or directly from YouTube. Once added, the tool automatically runs its analysis pipeline—separating stems, quantizing tempo, mapping musical structure, and converting audio to MIDI. After processing, use the built-in search function to browse the library, find sonically similar tracks or stems, and combine elements to build new mixes, mashups, or datasets.
Frequently Asked Questions
Pricing
No formal pricing tiers are listed; Polymath appears to be a self-hosted, open-source style tool installed via GitHub and Python rather than a subscription-based product.
Pricing data is provided as a summary. Visit the vendor website for full tier details.