9. A computerized device comprising: a processor; an input/output operatively connected to said processor; a non-transitory storage medium operatively connected to said processor; and a graphic user interface operatively connected to said processor, said input/output receiving a plurality of different input documents, said input/output 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; said processor automatically identifying said repeated elements and unique elements within each of said different input documents based on said similarity standard, said processor automatically generating one or more templates using said repeated elements and unique elements within said different input documents, said templates being generated to have said repeated elements and dynamic objects 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, said dynamic objects comprising a placeholder for said unique elements within said templates, said processor automatically storing variable data for each of said dynamic objects from said unique elements in said non-transitory storage medium, said graphic user interface outputting said templates and said variable data, said user interface receiving user acceptance and refusal of said repeated elements and said dynamic objects in said templates, said processor automatically learning patterns of acceptable template objects and refused template objects based on said user acceptance and refusal, and said processor 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 to alter said similarity standard, and refused template objects.
9. A computerized device comprising: a processor; an input/output operatively connected to said processor; a non-transitory storage medium operatively connected to said processor; and a graphic user interface operatively connected to said processor, said input/output receiving a plurality of different input documents, said input/output 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; said processor automatically identifying said repeated elements and unique elements within each of said different input documents based on said similarity standard, said processor automatically generating one or more templates using said repeated elements and unique elements within said different input documents, said templates being generated to have said repeated elements and dynamic objects 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, said dynamic objects comprising a placeholder for said unique elements within said templates, said processor automatically storing variable data for each of said dynamic objects from said unique elements in said non-transitory storage medium, said graphic user interface outputting said templates and said variable data, said user interface receiving user acceptance and refusal of said repeated elements and said dynamic objects in said templates, said processor automatically learning patterns of acceptable template objects and refused template objects based on said user acceptance and refusal, and said processor 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 to alter said similarity standard, and refused template objects. 10. The computerized device according to claim 9 , said learning of said patterns of acceptable template objects and refused template objects comprising learning at least one of: acceptable data lengths for said unique elements; acceptable locations for said unique elements; and acceptable data types for said unique elements.