An AI Splitter, in the context of audio, uses artificial intelligence to deconstruct a mixed audio track into its constituent parts, such as vocals, bass, drums, and other instruments. These tools employ sophisticated deep learning models, trained on immense libraries of isolated and combined sounds, to recognize and separate individual elements with remarkable precision. This functionality is invaluable for remixing, sampling, karaoke track creation, and music education, offering users the ability to manipulate and repurpose audio in ways that were previously difficult or impossible to achieve.