Datawatch Corporation

Altair Engineering, Inc.

Austin Alexander Spears

Samuel Allen Hudock

Mark Stephen Kyre

Jeffrey Lucas Eldridge

Maashes User Phillips

Described are methods for automatically extracting data from structured documents e.g. spreadsheets, regardless of the manner in which data is organized, and using the extracted data to generate an output table that is in a standardized format. The method can include the operations for automatically extracting data from a spreadsheet that defines rows and columns and includes a plurality of cells that are delineated by the rows and the columns, by identifying characteristics of data included in each cell of the column, determining a template type of the column based on the characteristics of the data in each selected cell of the column, and determining, from among a plurality of cells of the column and based on characteristics of the data included in the plurality of cells of the column, a representative cell that is representative of the determined template type of the column.

Automatic data extraction

Systems and methods are provided for generating tables from print-ready digital source documents. A document is received and one or more text fragments are identified on a rendered page of the document. A wrapping region collection is generated, comprising one or more wrapping regions. A tabular, narrative and label score is generated for each wrapping region. A block type is assigned to each wrapping region based on the scores. A wrapping region group and a block set are generated. One or more tables are generated based on text fragments corresponding to one of the one or more blocks. The text fragments are organized into corresponding fields of the one or more tables.

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Greensboro, NC, United States of America

Austin Alexander Spears