Image to MusicXML

Image to MusicXML converts raster score images into editable MusicXML notation. It targets composers, educators, and archivists who need quick access to digital scores from printed or scanned sources. The system uses optical music recognition to identify staves, notes, and rhythms, then encodes them into a standards-compliant MusicXML document. It emphasizes accuracy on clearly printed materials and supports multi-page inputs for batch workflows. The resulting MusicXML file can be imported into editors, sequencers, or notation software for editing, transposition, and printing. Core value lies in saving manual transcription time while preserving score integrity for revision history and collaboration. Advanced options include handling multi-staff scores, tempo marks, dynamics, and metadata tagging to preserve title, composer, and source information. Use cases include digitizing classroom handouts, preparing rehearsal materials from scans, and archiving legacy scores for scholarly analysis. The tool aims to minimize post-export edits by applying robust staff detection, rhythmic normalization, and compatibility with MusicXML 3.1 standards, enabling downstream workflows in publishing, education, and performance preparation.