Abstract: The present invention relates to a method for extracting tabular data from a document. The method includes identifying a bordered table or a borderless table in a received document and an image of the document. The tabular data in the identified bordered table is extracted using a first and a second set of pixel coordinates from the plurality of pixel coordinates. Further, upon identifying the borderless table in the document, a first set of document coordinates of at least one row of the borderless table is determined. Furthermore, a second set of document coordinates of the at least one column corresponding to the at least one row is determined. Finally, the tabular data in the identified borderless table is extracted from the document based on the determined first and second set of document coordinates.

Abstract: The present invention relates to a method for extracting tabular data from a document. The method includes identifying a bordered table or a borderless table in a received document and an image of the document. The tabular data in the identified bordered table is extracted using a first and a second set of pixel coordinates from the plurality of pixel coordinates. Further, upon identifying the borderless table in the document, a first set of document coordinates of at least one row of the borderless table is determined. Furthermore, a second set of document coordinates of the at least one column corresponding to the at least one row is determined. Finally, the tabular data in the identified borderless table is extracted from the document based on the determined first and second set of document coordinates.

Abstract: The method and system of present disclosure relate to facilitating identification of a layout of user interface. The method includes receiving plurality of screenshots of plurality of user-interfaces. From each of the plurality of screenshots, text elements and their corresponding actionable elements axe extracted. Further, the system identifies properties of the actionable elements in each of the plurality of screenshots which indicates the functionality of the actionable elements. Based on the properties, the system further associates the text elements, of one screenshot associated with one user-interface, with the actionable elements, of another screenshot associated with another user-interface. Further, the system creates clusters text elements and the one or more actionable elements based on the association. The clusters facilitate in the identification of the layout of the user interface.