Built for score PDFs
StaveWave checks the uploaded PDF, profiles page structure, prepares recognition variants, and flags source issues before processing starts.
PDF to MusicXML
Convert PDF sheet music to editable MusicXML.
Upload a score PDF, turn it into editable MusicXML, and see the recognition, validation warnings, and release evidence behind the export.
Optimized for PDF to MusicXML, convert PDF sheet music, sheet music PDF OCR, MusicXML converter workflows with reviewable MusicXML output.
PDF to MusicXML benefits
Editable MusicXML output
The result is MusicXML you can import into notation apps such as Sibelius, Dorico, MuseScore, Finale, and similar tools.
Review before you trust it
Measure confidence, validation findings, validation warnings, and audit details point you to uncertain notation before you use the export.
Processing stack
The recognition and validation layers behind each export.
StaveWave shows the recognition engines, specialist passes, validation checks, and quality gates involved so users can see what checked the score before trusting the MusicXML.
OMR engines
Recognition engines read the score and create MusicXML candidates.
Audiveris, homr, and oemer each try the notation independently. StaveWave compares their outputs and keeps disagreements visible instead of treating one reading as automatically correct.
Review checks
Review checks compare the source page with the rendered result.
Visual, corpus, and notation checks inspect weak spots, compare source evidence against rendered MusicXML, and flag suspicious measures or repair candidates.
Specialist checks
Specialist checks look for notation mistakes that matter in editing.
Focused passes review pitch, rhythm, text, structure, articulation, and style so the output is easier to clean up in Sibelius, Dorico, MuseScore, Finale, or another editor.
Quality gates
Release gates decide whether the export is ready or blocked.
Validation, consensus, visual comparison, audio checks, plausibility scoring, and audit evidence must run. If a required component fails, the job reports a blocking error.
Workflow
How StaveWave analyzes the upload.
Upload the PDF
Choose a score PDF up to 20 pages and let StaveWave validate the file before conversion.
Run recognition
StaveWave compares recognition candidates, checks MusicXML structure, rhythm, and notation consistency.
Export MusicXML
Export MusicXML only after checking the review notes, validation warnings, and audit log.
Questions
What to know before uploading.
These answers match the structured data search engines receive for this page.
Does it work with PDFs from Finale, Sibelius, or MuseScore?
PDFs exported from notation software typically have clean, well-spaced staves and symbols, which tend to produce better MusicXML results than low-resolution scans. StaveWave processes any image-based or scanned PDF, including those exported from Finale, Sibelius, MuseScore, and similar programs.
What about multi-instrument scores?
StaveWave processes full scores with multiple staves. Complex layouts—orchestra scores, piano-vocal reductions, lead sheets with chord symbols—go through the same recognition and validation pipeline. Confidence notes on the result page flag measures where multi-staff alignment or notation density caused uncertainty.
How accurate is the MusicXML output?
Accuracy depends on source quality: cleaner PDFs with high-contrast staves and standard notation produce more reliable MusicXML. StaveWave runs multiple OMR engines, compares their outputs, validates the MusicXML before releasing it. The confidence report shows which measures passed cleanly and which need a closer look.
Can StaveWave convert every PDF score perfectly?
No automated OMR system is perfect. StaveWave surfaces review notes and warnings so you can check uncertain measures before using the export.
What do I download after conversion?
You can download the MusicXML file along with confidence notes and an audit log that records the recognition votes, validation findings, validation results, and quality-gate decisions for that job.
Ready to convert