Abstract: Systems and methods for finding and presenting differences between documents are provided. One method includes identifying one or more differences between a first document and at least one second document. The method further includes determining each of the one or more differences to be either a significant difference or an insignificant difference. The method further includes providing a first identification of the significant differences and a second identification of the insignificant differences.

Abstract: An algorithm for assigning priorities to tasks queued for processing by users based on how heavily each task's user used the system resources in the past, including the number of tasks queued by the user in the past, the volume of these tasks, and the amount of processor time used. In the OCR context, the tasks are graphic files placed on servers and chosen for processing in accordance with the assigned priorities.

Abstract: Systems and methods for finding and presenting differences between documents are provided. One method includes identifying one or more differences between a first document and at least one second document. The method further includes determining each of the one or more differences to be either a significant difference or an insignificant difference. The method further includes providing a first identification of the significant differences and a second identification of the insignificant differences.

Abstract: For extracting data from a document with fixed structure, we recognize key words in an image of the document; identify reference object based on these key words, create templates based on the identified reference objects; match the created templates against the image of the document while recognizing fields in the image of the document these templates; and select the best template using quality of the recognized field.

Abstract: Systems and methods for finding and presenting differences between documents are provided. One method includes identifying one or more differences between a first document and at least one second document. The method further includes determining each of the one or more differences to be either a significant difference or an insignificant difference. The determination of whether each of the one or more differences is a significant difference or an insignificant difference may be performed in an automated manner without intervention from a user. The method further includes providing an identification of the significant differences to the user. The method further includes either hiding the insignificant differences from the user or providing an identification of the insignificant differences in a different manner than a manner in which the identification of the significant differences is provided.

Abstract: An algorithm for assigning priorities to tasks queued for processing by users based on how heavily each task's user used the system resources in the past, including the number of tasks queued by the user in the past, the volume of these tasks, and the amount of processor time used. In the OCR context, the tasks are graphic files placed on servers and chosen for processing in accordance with the assigned priorities.

Abstract: An algorithm for assigning priorities to tasks queued for processing by users based on how heavily each task's user used the system resources in the past, including the number of tasks queued by the user in the past, the volume of these tasks, and the amount of processor time used. In the OCR context, the tasks are graphic files placed on servers and chosen for processing in accordance with the assigned priorities.

Abstract: An algorithm for assigning priorities to tasks queued for processing by users based on how heavily each task's user used the system resources in the past, including the number of tasks queued by the user in the past, the volume of these tasks, and the amount of processor time used. In the OCR context, the tasks are graphic files placed on servers and chosen for processing in accordance with the assigned priorities.

Abstract: For extracting data from a document with fixed structure, we recognize key words in an image of the document; identify reference object based on these key words, create templates based on the identified reference objects; match the created templates against the image of the document while recognizing fields in the image of the document these templates; and select the best template using quality of the recognized field.

Abstract: Systems and methods for finding and presenting differences between documents are provided. One method includes identifying one or more differences between a first document and at least one second document. The method further includes determining each of the one or more differences to be either a significant difference or an insignificant difference. The determination of whether each of the one or more differences is a significant difference or an insignificant difference may be performed in an automated manner without intervention from a user. The method further includes providing an identification of the significant differences to the user. The method further includes either hiding the insignificant differences from the user or providing an identification of the insignificant differences in a different manner than a manner in which the identification of the significant differences is provided.