Case Study
Portable Shazam
A professional Windows desktop application that identifies songs playing on your computer using advanced audio recognition.
PythonCustomTkinterAudio ProcessingDesktop App
Highlights
- —Identifies songs from system audio using WASAPI loopback capture
- —No microphone required - uses high-quality digital audio fingerprinting
- —Modern, responsive UI built with CustomTkinter
Links
Case Study
Goal: Create a reliable, professional tool for identifying music ensuring that you can find the name of any song playing on your system.
- —Implemented WASAPI loopback for high-fidelity system audio capture
- —Integrated ShazamIO for accurate acoustic fingerprinting and recognition
- —Designed a sleek, modern interface similar to native Windows apps