Abstract: A computing device receives a request to render a listing of item entries on a graphical user interface. The computing device receives an electronic image of the document, analyzes the electronic image, and determines a document type by performing an image recognition on a first portion the electronic image, comparing information extrapolated via the image recognition algorithm to a database of document types, and identifying a match between the extrapolated information a document type. The computing device applies an OCR algorithm that corresponds to the determined document type to a second portion of the electronic image, and identifies items extracted from the second portion. The computing device renders the listing of item entries on the graphical user interface of the user computing device, the listing of items comprising a listing of each item extracted from the second portion of the electronic image.

Abstract: A computing device receives a request to render a listing of item entries on a graphical user interface. The computing device receives an electronic image of the document, analyzes the electronic image, and determines a document type by performing an image recognition on a first portion the electronic image, comparing information extrapolated via the image recognition algorithm to a database of document types, and identifying a match between the extrapolated information a document type. The computing device applies an OCR algorithm that corresponds to the determined document type to a second portion of the electronic image, identifies items extracted from the second portion, determines that at least one identified item matches an original item entry, and marks each matching item. The computing device renders an updated listing of item entries on the graphical user interface with a listing of each non-matching item and a marked listing of each matching item.

Abstract: Modifying graphical user interfaces based on new data obtained from electronic documents comprises a computing system and an image capturing system of a user. The computing device receives a first digital image comprising a first set of data and extracts the first set of data from the first digital image. The computing device populates a list with a first set of data. The computing device receives a second digital image comprising a second set of data and extracts the second set of data from the second digital image. The computing device then modifies the list based on the second set of data. The computing device searches for third party data to associate with items on the list and takes appropriate action based on the association.

Abstract: A computing device receives a request to render a listing of item entries on a graphical user interface. The computing device receives an electronic image of the document, analyzes the electronic image, and determines a document type by performing an image recognition on a first portion the electronic image, comparing information extrapolated via the image recognition algorithm to a database of document types, and identifying a match between the extrapolated information a document type. The computing device applies an OCR algorithm that corresponds to the determined document type to a second portion of the electronic image, identifies items extracted from the second portion, determines that at least one identified item matches an original item entry, and marks each matching item. The computing device renders an updated listing of item entries on the graphical user interface with a listing of each non-matching item and a marked listing of each matching item.

Abstract: A computing device receives a request to render a listing of item entries on a graphical user interface. The computing device receives an electronic image of the document, analyzes the electronic image, and determines a document type by performing an image recognition on a first portion the electronic image, comparing information extrapolated via the image recognition algorithm to a database of document types, and identifying a match between the extrapolated information a document type. The computing device applies an OCR algorithm that corresponds to the determined document type to a second portion of the electronic image, and identifies items extracted from the second portion. The computing device renders the listing of item entries on the graphical user interface of the user computing device, the listing of items comprising a listing of each item extracted from the second portion of the electronic image.