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Most transcription tools hand you a literal dump of every note. PianoConvert lets you choose: a faithful note-for-note capture, or a simplified arrangement that's actually playable — then fix anything the AI misheard before you export to PDF, MIDI, or MusicXML.
Transcribing a piano piece by ear can eat five or six hours and lean on ear-training most people never got. PianoConvert, built by La Touche Musicale, hands that job to a neural network: paste a YouTube link or drop in an audio file, and it comes back with an editable score in minutes.
It listens to a recording and works out what the pianist actually played — the individual notes, the chords, the tempo, and how the hands split across the staves. The model was trained on piano across classical, pop, and jazz, so it copes with a solo instrument as well as a piano sitting inside a full mix.
The part that sets it apart is the choice of output. You can pull a note-for-note transcription that captures exactly what was played, or a simplified arrangement that trims the piece down to something you can sit and play. For most people learning a song rather than studying it, the simplified mode is the one worth reaching for first.
Piano teachers who want a clean score for a lesson without spending an evening writing it out. Composers who improvise first and notate later, and want the notation to catch up automatically. And hobbyist players who keep finding pieces on YouTube they'd love to play but can't find sheet music for. The common thread: you need a printable score and you'd rather not do the transcription by hand.
If you've got a folder of your own recordings or a playlist of pieces you've always wanted to read, PianoConvert is the shortcut from "I wish I had the sheet music" to a score sitting on the music stand. Give it a piece and see how close the first pass gets.
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