1. A system, embodied on a computer-readable storage medium, that when executed, facilitates detecting text in data, comprising: an input component that receives data; a connected components identifier that generates a set of connected components from the data, the connected components are utilized to generate a set of features for training and testing; and a classification component that automatically detects text in the data via a transductive classifier employed in connection with a trained boosted classifier, the trained boosted classifier infers labels for the training connected components, the inferred labels are subjected to a clustering process by which the set of training features feature sets are expanded to define training properties, the transductive classifier is trained based in part upon the training properties.