Convert audio & transcribe music automatically

Our solution analyzes music like an expert musician would – only faster and more accurately. Based on deep learning algorithms, it identifies melodies, chords, and rhythmic structures, then transforms them into precise notation using advanced signal processing and music information retrieval methods.

Whether you need to transcribe monophonic recordings or complex polyphonic compositions, our music transcription modules detect:

• Melodies and played notes
• Chords and harmonies
• Rhythm, beat, and meter
• Key and song structure
• Drums and percussive elements

The software runs in real time and across platforms – ideal for music notation software, educational tools, audio analysis, music production, or scientific research.

To ensure reliable results even with polyphonic audio and instruments playing simultaneously, we have developed optimized, AI-based models. This makes it possible to analyze even rare instruments with ease. 

Music learning and practice software

Enable real-time music recognition and feedback for learning apps that support instrumental or vocal training. Users receive immediate feedback and guidance to improve performance accuracy.

Music production

Capture creative ideas effortlessly. Analyze harmonies, extract melodies, or convert recordings into editable scores – accelerating creative workflows and ensuring precision in music transcription.

Similarity analysis

Compare pieces with high accuracy and identify similarities in melody, harmony, or rhythm – an effective tool for detecting reused motifs, covers, or samples.

Musicology and research

Researchers can classify, compare, and analyze large music collections automatically. With AI-driven transcription, historical recordings can be explored and contextual relationships uncovered.

Intelligent music search and linking

By combining audio and notation data, new modes of music retrieval emerge. Users can search archives by melody, rhythm, or score fragments – enabling cross-modal access to both audio and notation content.