Guitariz Studio is an open-source, full-stack music platform that combines AI-powered audio analysis with interactive learning tools. It enables users to analyze, learn, and interact with music in real time within a single web application.
Analyze Audio
Detect chords in real time using AI
Upload audio and break down harmonic structure
Get immediate feedback while playing
Isolate and Transform Sound
Separate vocals, drums, bass, and instruments
Generate instrumentals or acapellas
Powered by deep learning models for high-quality output
Learn Music Interactively
Train your ear with structured exercises
Explore scales, intervals, and harmony visually
Learn by interacting instead of passive consumption
Play Inside the Platform
Interactive 24-fret guitar with real-time mapping
88-key virtual piano with chord and scale overlays
Built-in metronome for practice sessions
Guitariz uses a hybrid architecture to balance performance and computation. The frontend handles real-time interaction and audio processing, while a Python FastAPI backend performs AI tasks such as chord recognition and source separation. Communication is handled via REST APIs and WebSockets for low-latency feedback.
Frontend: React, TypeScript, Vite, TailwindCSS
Backend: FastAPI (Python)
AI/ML: PyTorch, Meta Demucs, Madmom, Librosa
Audio Processing: Web Audio API, FFT.js
UI and 3D: Framer Motion, shadcn/ui, Three.js
Most music tools are either passive learning platforms or fragmented utilities. Guitariz brings learning, analysis, and creative tools together into one system with real-time feedback.
Live: https://guitariz.studio
GitHub: https://github.com/Guitariz/Guitariz
Built with