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Guitar2Tabs vs Omnizart

Guitar2Tabs

guitar2tabs.klang.io

Omnizart

github.com

Side by side

FigureGuitar2TabsOmnizart
Price from$6.24/moFree
Free planYesYes
Free trialYes—
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
APIYes—
Self-hosted—Yes
Plans published71
Spec score · Music Transcription Software9.2 (#2)7.9 (#16)
Founded20182017

Plans

Guitar2Tabs

  • FreeFree
  • FreeFree
  • Instrument Pro$14.99 a month
  • Instrument Pro (Guitar2Tabs Pro)$14.99 a month
  • Transcription Studio Pro$19.99 a month
  • Ultimate$29.99 a month
  • Instrument Pro$74.88 a year

Guitar2Tabs pricing →

Omnizart

  • OmnizartFree

Omnizart pricing →

In their own words

Guitar2Tabs

Guitar2Tabs turns guitar recordings and YouTube links into editable tabs and sheet music. It supports acoustic, electric and bass guitar, for both strummed parts and picked melodies. Users can upload audio, record in the app or paste a YouTube link, then play back the transcription and edit notes before exporting. Notation can be shown as tabs or standard notation. Export formats include PDF, quantized or unquantized MIDI, MusicXML and Guitar Pro files, compatible with MuseScore, Sibelius, Guitar Pro, Ableton Live, Logic Pro, FL Studio, Cubase and GarageBand. A personal songbook stores files and makes transcriptions accessible on desktop devices. The free demo allows unlimited transcriptions of up to 20 seconds each without signup, and the Free plan includes PDF downloads. Instrument Pro is $14.99 a month, billed monthly, for 50 full transcriptions per month, up to 15 minutes each, additional export formats and a browser-based editor. The service runs on the web, Android and iOS.

Visit guitar2tabs.klang.io

Omnizart

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.

Visit github.com