Cleanlab Studio is a no-code AI data correction tool that can automatically identify and fix issues in multi-label datasets, such as images and document tags. It helps users quickly discover and correct labeling errors, missing labels, ambiguous examples, and outliers, improving the quality of multi-label data. Users can leverage the corrected dataset for more reliable machine learning and analysis, or utilize Cleanlab Studio's machine learning algorithms to predict labels for new data with high accuracy.