5. A method comprising: inputting a plurality of different input documents into a computerized device; receiving user input to identify a similarity standard that determines how closely elements of said different input documents must match in order to be considered repeated elements; automatically identifying said repeated elements and unique elements within each of said different input documents based on said similarity standard, using said computerized device; automatically identifying locations of said repeated elements and said unique elements within each of said different input documents, using said computerized device; automatically generating one or more templates using said repeated elements and unique elements within said different input documents using said computerized device, said templates being generated to have said repeated elements in locations corresponding to said repeated elements and dynamic objects in locations corresponding to said unique elements, said repeated elements being similar for all documents that are represented by a given template, said unique elements having at least one difference between said documents that are represented by said given template, and said dynamic objects comprising a location placeholder for said unique elements within said templates; automatically storing variable data for each of said dynamic objects from said unique elements in a non-transitory storage medium of said computerized device; outputting said templates and said variable data from a user interface of said computerized device; receiving user acceptance and refusal of said repeated elements and said dynamic objects in said templates into said user interface of said computerized device; automatically learning patterns of acceptable template objects and refused template objects based on said user acceptance and refusal, using said computerized device; and automatically revising said identifying of said repeated elements and said unique elements and said generating of said templates for additional documents, based on using said patterns of acceptable template objects and refused template objects to alter said similarity standard, using said computerized device.
7. The method according to claim 5 , further comprising automatically giving different names to each of said dynamic objects, using said computerized device.