Guitar Intelligence.

A product concept for turning songs into playable guitar experiences. It connects audio intelligence, music theory and an interface built around practice.

A recording does not tell you how to play it. Chords, key, arrangement and technique are scattered across different tools — and guitar parts may not exist at all.

Bring the journey into one workspace: understand the audio, explore an arrangement and make it fit your instrument and ability.

Audio input → instrument separation → musical analysis → a music model → chords, tablature and arrangement. The diagram is a proposed architecture, not a running service.

Make the analysis inspectable. Let a player move between waveform, harmony and fretboard without losing their place.

Exploring audio processing, AI-assisted transcription and multilingual guidance. Specific model choices and a production backend are still open.

Polyphonic audio is ambiguous. Timing, instrument overlap and alternate fingerings all affect whether an output is actually playable.

This browser demo connects a synthetic waveform with note selection. It demonstrates an interaction idea; it does not upload, separate or analyze real audio.

Concept / work in progress. Chord detection, key and tempo estimation, tablature, transposition and capo suggestions are proposed capabilities.

Validate the workflow with playable examples. Explore instrument separation, backing tracks and generated guitar arrangements, then measure musical accuracy.