---
title: 'How Shazam IDs songs '
canonical: https://0110.be/posts/How_Shazam_IDs_songs_
markdown_url: https://0110.be/posts/How_Shazam_IDs_songs_.md
id: 522
published_at: '2023-09-04T00:00:00Z'
updated_at: '2023-09-08T12:49:55Z'
author: Joren
tags:
- name: UGent
  markdown_url: https://0110.be/tags/UGent.md
---

# How Shazam IDs songs 

The Wall Street Journal made a video on the internals Shazam fingerprinter. The visuals and technical explanation serves as a very good introduction in spectral-peak-based audio fingerprinting. For those who want a more in depth view or want to try out such systems: I have implemented extensions on the Shazam technique in two open-source systems.

[Olaf](https://github.com/JorenSix/Olaf) is a spectral-peak based fingerprinter aimed at embedded systems, traditional computers and browsers. [Panako](https://github.com/JorenSix/Panako) is implemented in Java and has robustness against pitch-shifting and time-stretching which is briefly mentioned in the video below as well:

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