AI extraction works by analyzing the audio file using machine learning models trained to recognize patterns in sound. These models can detect characteristics such as rhythm, tempo, mood, instrumentation, and even vocal presence. By comparing the audio against large datasets of labeled music, the AI identifies and assigns accurate metadata tags. This process happens quickly and with high precision, allowing creators to automatically generate detailed descriptions of their tracks without manual input.