AnthemScore vs Omnizart

AnthemScore converts audio into sheet music, PDF, or MIDI using AI. Its desktop app uses machine learning to identify notes, percussion, beats, and instruments, then lets users adjust notes, measures, signatures, and tempo. Playback can be slowed without changing pitch. Scores can be formatted for an instrument's key, range, and staff, including standard notation or tablature. AnthemScore Web accepts audio or MIDI and offers PDF, MusicXML, and MIDI output; listed inputs include MP3, WAV, M4A, FLAC, OGG, MP4, and MID, plus microphone recording. Desktop downloads are available for Windows, macOS, and Linux and require a 64-bit laptop or desktop. The desktop FAQ lists MP3, WAV, FLAC, OGG, WavPack, and MusePack support, but excludes DRM-protected files. The free web plan has a 14-day full-song trial, then permits unlimited 30-second clips. Paid web plans are $8.33 a month and $24.99 a month, billed annually; desktop purchases range from $29, paid once to $99, paid once.

Omnizart is a free Python library for transcribing polyphonic music into pitched instruments, vocal melody, chords, drum events, and beats. Pre-trained checkpoints allow transcription without first training a model. The project also documents dataset downloads, feature preprocessing, model training, transcription, and sonification, with MIDI, CSV, and text output formats. It lists separate applications for music, drums, vocals, vocal contours, chords, and beats, along with chord detection, MIDI export, and stem separation. Installation options include pip, Docker, and Conda, and a command-line interface is provided. Documentation links to a Colab notebook and a Replicate web demo. Omnizart supports Linux, Windows, macOS, and self-hosted setups, but is incompatible with ARM-based macOS because of underlying dependencies. The package requires Python 3.8 or later and below 3.15. Drum checkpoints can be used for transcription, though the drum model has an unresolved issue that prevents loss convergence when training from scratch. It is MIT-licensed and offers GitHub Issues for installation, compatibility, and usage problems.