Audio-Based Song Identification System Using Python and Cloud Music Recognition API

The increasing consumption of digital music has created a demand for intelligent and automated music identification systems. This research presents the development of an audio-based song identification system using Python and a cloud-based music service. recognition API. The system is designed to detect a song from a short audio clip uploaded by the user. It processes the audio. through a backend server and communicates with a cloud recognition service to identify the corresponding song metadata. detected results include song title, artist name, and direct search links to popular streaming platforms. The proposed The solution demonstrates the integration of web technologies, RESTful services, and audio fingerprinting mechanisms in a scalable and efficient architecture. Experimental evaluation confirms that the system achieves reliable performance for clear audio samples and offers a practical framework for real-world multimedia applications.