Accurate Music Transcription Software

AnthemScore is a program designed to automatically create sheet music from audio (MP3, WAV, etc.) as accurately as possible. Notes are identified with a state-of-the-art convolutional neural network trained on over 2 million data samples.

The output is a MusicXML file you can view and edit with any standard music notation software. If you choose to install MuseScore, a popular free notation program, sheet music will open automatically when processing is finished. In addition to transcription, you can also:

To learn more about harmonics and spectrograms, jump to the quick guide.

A screenshot and some sheet music generated by AnthemScore

The Software

If you have experience with note recognition programs, you probably know that transcribing music is challenging and accuracy tends to be very low. AnthemScore is able to produce more accurate results using a convolutional neural network trained on polyphonic music. You can read more about how it works here. Currently, no instrument information is extracted, so notes from all instruments get combined into one part.

The downside is that it's currently a little slow. It usually takes at least a couple minutes of processing per minute of audio. This type of note recognition network is still relatively new, so stay tuned for further updates.

You can download and try it out on Windows, OS X, and Linux.


Below are some examples of music automatically transcribed with AnthemScore. The accuracy depends on the complexity of the song and the instruments used. You can generally expect the best results from piano pieces.

Original Transcription

Most of the notes here are correct. Song clip courtesy of Francesco Parrino.

Original Transcription

In this clip it's able to capture large piano chords. The bass clef notes end too soon, because the program currently only focuses on note start times and pitches. Song clip from Frank Tedesco's arrangement.

Original Transcription

Fewer of the notes here are correct. Full orchestra is one of the most challenging categories to transcribe. One or two instrument pieces like piano covers are generally more accurate.