Abstract: Systems and methods for privacy and sensitive data protection. An image of a document is received at a pre-processing stage and image pre-processing is applied to the image to ensure that the resulting image is sufficient for further processing. Pre-processing may involve processing relating to image quality and image orientation. The image is then passed to an initial processing stage. At the initial processing stage, the relevant data in the document are located and bounding boxes are placed around the data. The resulting image is then passed to a processing stage. At this stage, the type of data within the bounding boxes is determined and suitable replacement data is generated. The replacement data is then inserted into the image to thereby remove and replace the sensitive data in the image.

Abstract: Systems and methods for document analysis. An image containing at least one document is received at a pre-processing stage and the image is analyzed for image quality. If the image quality is insufficient for further processing, this is adjusted until the image is suitable for further processing. After the image quality adjustment, the image is then passed to an initial processing stage. At the initial processing stage, the boundaries of one or more documents within the image are determined. In addition, the orientation of the image may be adjusted and the type of document(s) within the image is determined. From the initial processing stage, the adjusted image is then passed to a data extraction stage. At this stage, clusters of data within the document are determined and bounding boxes are placed around the clusters. Data regarding each of the clusters of data is then gathered.

Abstract: Systems and methods for automated generation of documents. In one system, different databases, each having a different type of data, are used in conjunction with a database of document templates. Each template has a number of empty data fields, each data field being associated with a specific type of data present in at least one of the different databases. A document generation module retrieves a document template from the template database and determines which data fields need data. Databases containing the type of data needed by the data fields in the retrieved template are then accessed and suitable data is then retrieved/used and inserted into the retrieved template. Once the template is suitably complete, a document is then output from system and the image of this generated document can then be used with machine learning systems.