1. A method of automatically identifying digital content related to a portion of a block of text, the method comprising: receiving an indication of one or more words included in the block of text for which related digital content is to be identified, wherein: the one or more words are not manually provided as search queries for digital content; the block of text is accessible via a web interface; and the digital content comprises still or moving digital images; segmenting the one or more words included in the block of text into one or more segments comprising phrases or individual words, wherein the segmenting includes automatically removing one or more phrases or individual words that are less likely to result in finding images; automatically searching a database of digital content based on the one or more segmented phrases or individual words; automatically retrieving from the database one or more digital content items or identifiers associated with the one or more digital content items, wherein the digital content items are related to the one or more segmented phrases or individual words; determining whether a valid license has been obtained for the one or more retrieved digital content items or identifiers associated with the one or more digital content items; providing the retrieved digital content items or identifiers to the user only if a valid license has been obtained for the retrieved digital content items or identifiers; receiving a selection of one or more of the provided digital content items or identifiers from the user; and associating for display or replay the one or more selected digital content items or the one or more digital content items associated with the one or more selected identifiers with the one or more words in the block of text, wherein the block of text and the one or more selected digital content items are accessible via the web interface.
7. The method of claim 1 , further comprising mapping the one or more words for which the indication is received to one or more keyword categories.