Since the emergence of Music Streaming Platforms, some companies have built up huge databases with millions of songs, and managing such catalogs is not an easy task. Particularly, it's necessary to have relevant information about each song in order to efficiently organize all titles. Nevertheless, manually annotating millions of songs is a titanic job for humans, and because of the fast changes in music industry, most of these annotations have to be updated every year. To this aim, a scientific field appeared two decades ago. It deals with the automatic analysis of digital signals of music in order to retrieve Musical Information directly from the recordings. Then, with dedicated algorithms, a computer can recognize some attributes; such as: the genre of a song, its mood, the played instruments, the tempo, the key, the chord progression, and many other information. In the context of music recommendation, and especially for FuturePulse, the use of such a technology is highly relevant.