6. A non-transitory computer-readable medium for transcribing text to an electronic file having sets of instructions stored thereon which, when executed by a computer, cause the computer to: receive an image, wherein text is present on the image; analyze a first portion of the text; identify at a first confidence level equal to or greater than a threshold confidence level, characters representing the first portion of the text; store the characters representing the first portion of the text; analyze a second portion of the text; identify at a second confidence level below the threshold confidence level, a plurality of candidates to represent the second portion of the text, wherein at least one candidate having a candidate threshold confidence level of the plurality of candidates to represent the second portion of text is identified based on related characters within a data category from two or more records of a plurality of records; and present the plurality of candidates to a user for selection based on the candidate threshold confidence level; wherein the data category comprises compiling the two or more records of a plurality of records into a data category database; and the two or more records of a plurality of records are chosen from a group consists individual records that stored for individual persons, places, and time periods.
6. A non-transitory computer-readable medium for transcribing text to an electronic file having sets of instructions stored thereon which, when executed by a computer, cause the computer to: receive an image, wherein text is present on the image; analyze a first portion of the text; identify at a first confidence level equal to or greater than a threshold confidence level, characters representing the first portion of the text; store the characters representing the first portion of the text; analyze a second portion of the text; identify at a second confidence level below the threshold confidence level, a plurality of candidates to represent the second portion of the text, wherein at least one candidate having a candidate threshold confidence level of the plurality of candidates to represent the second portion of text is identified based on related characters within a data category from two or more records of a plurality of records; and present the plurality of candidates to a user for selection based on the candidate threshold confidence level; wherein the data category comprises compiling the two or more records of a plurality of records into a data category database; and the two or more records of a plurality of records are chosen from a group consists individual records that stored for individual persons, places, and time periods. 12. The non-transitory computer-readable medium of claim 6 , wherein the sets of instructions further cause the computer system to: identify a string of digitized text to represent a portion of the text; determine a confidence level of the string of text; compare the confidence level to a threshold confidence level; determine that the confidence level is greater than or equal to the threshold confidence level; store the string of text as part of the electronic document.