Omnizart

B tier on Music Transcription SoftwareScore 7.1 · #10 of 29

Android app: Not listed
Free plan: Yes
Runs on: Linux, Mac, self-hosted, Windows

github.com

Summary

Omnizart is a free Python library for automatic transcription of polyphonic music. It can transcribe pitched instruments, vocal melody, chords, drum events, and beats, with separate applications for music, drums, vocals, vocal contours, chords, and beats. Pretrained checkpoints are available for transcription, while the project also documents dataset downloads, feature preprocessing, model training, transcription, and sonification. Outputs include MIDI, CSV, and text; listed capabilities include chord detection, MIDI export, and stem separation. Omnizart supports Linux, Windows, macOS, and self-hosted setups, with pip, Docker, and Conda installation options and a command-line interface. Documentation links to a Colab notebook and a Replicate web demo. The package requires Python 3.8 or later and below 3.15. It is incompatible with ARM-based macOS because of underlying dependencies. Drum checkpoints can be used for transcription, although the repository reports a problem preventing loss convergence when training the drum model from scratch. The MIT-licensed project provides GitHub Issues for installation, compatibility, and usage questions.

Who it is for

Omnizart suits developers and science or research users working with music transcription. It is also relevant to users who want to train models or use provided checkpoints to transcribe music.

What is good

Transcribes instruments, vocals, chords, drums, and beats.
Pretrained checkpoints support immediate transcription.
Offers MIDI, CSV, and text output.
Provides pip, Docker, and Conda installation options.

What to know first

Incompatible with ARM-based macOS.
Drum model training from scratch has an unresolved bug.
Requires Python 3.8 or later, below 3.15.
MIT license provides the software without warranty.

Verdict

Omnizart combines transcription tools with a documented model-training workflow and several installation routes. Check its macOS compatibility and drum-training limitation before choosing it.

Omnizart plans and pricing

All plans

Omnizart Free MIT License · pip, Docker, or Conda installation github.com · 1 Oct 2026

Compared on music transcription software

Free plan: Yesgithub.com
Output formats: MIDI, CSV, textgithub.com
Stem separation: Yesgithub.com
Chord detection: Yesgithub.com
MIDI export: Yesgithub.com
Platform: desktopgithub.com

Facts

Purpose: Omnizart is a Python library and streamlined solution for automatic music transcription.music-and-culture-technology-lab.github.io · 1 Oct 2026
Transcription targets: It transcribes pitched instruments, vocal melody, chords, drum events, and beat from polyphonic music.github.com · 1 Oct 2026
Lifecycle: The documentation covers dataset downloading, feature preprocessing, model training, transcription, and sonification.music-and-culture-technology-lab.github.io · 1 Oct 2026
Pretrained models: Pre-trained checkpoints are provided for immediate transcription use.music-and-culture-technology-lab.github.io · 1 Oct 2026
Interfaces: The project provides pip installation, Docker usage, Conda source installation, and a command-line interface.github.com · 1 Oct 2026
Demonstrations: Official documentation links to a Colab notebook and a Replicate web UI demo.music-and-culture-technology-lab.github.io · 1 Oct 2026
Supported applications: The repository lists music, drum, vocal, vocal-contour, chord, and beat applications.github.com · 1 Oct 2026
Python versions: The package metadata requires Python version >=3.8 and <3.15.github.com · 1 Oct 2026
Latest release: Release 0.6.3 dated 2026-05-31 added an in-code sherpa-onnx source-separation backend and CLI startup optimization.github.com · 1 Oct 2026
Mac limitation: The README states that Omnizart is incompatible with ARM-based macOS because of underlying dependencies.github.com · 1 Oct 2026
Drum limitation: The repository says the drum model has unknown bugs that prevent loss convergence when training from scratch, while provided checkpoints remain usable for drum transcription.github.com · 1 Oct 2026
License: Omnizart is distributed under the MIT License, and the license states that the software is provided as is without warranty.github.com · 1 Oct 2026
Support channel: The project provides GitHub Issues for installation, compatibility, and usage problems.github.com · 1 Oct 2026
Intended users: Package metadata classifies the intended audience as developers and science or research users.github.com · 1 Oct 2026