The present disclosure describes techniques for automatically identifying video series. A first video may be input into a machine learning model. The machine learning model may be trained to identify content that is any part of a connected series. It may be determined whether there is at least a second video in a series with the first video using the machine learning model. The series of videos may comprise the first video and the at least a second video. The series of videos may be uploaded by a same creator. Information indicative of a connection among the series of videos comprising the first video and the at least a second video may be stored.