Abstract: A method for analyzing an electronic document including structured data and unstructured data may include applying a machine learning model to determine whether one or more rows of the electronic document correspond to a header row. The machine learning model may be trained to determine whether one or more cells of a row corresponds to a header field by determining whether a text value included in the cells corresponds to an entity. A row may be identified as a header row based on an output of the machine learning model indicating more than a threshold quantity of cells included in the row correspond to a header field. At least a portion of the structured data included in the electronic document may be extracted based on the entity included in the cells of the row identified as the header row. Related systems and computer program products are also provided.

Abstract: A method for analyzing an electronic document including structured data and unstructured data may include applying a machine learning model to determine whether one or more rows of the electronic document correspond to a header row. The machine learning model may be trained to determine whether one or more cells of a row corresponds to a header field by determining whether a text value included in the cells corresponds to an entity. A row may be identified as a header row based on an output of the machine learning model indicating more than a threshold quantity of cells included in the row correspond to a header field. At least a portion of the structured data included in the electronic document may be extracted based on the entity included in the cells of the row identified as the header row. Related systems and computer program products are also provided.

Abstract: Disclosed herein are system, method, and computer program product embodiments for extracting and posting data from an unstructured data file to a database table. In an embodiment, a server receives a request to extract and post data from an unstructured data. The server extracts the data from the unstructured data file. The server identifies a set of columns from the structured format of the extracted data. Each column of the set of columns corresponds with a set of data elements from the extracted data. The server identifies a pattern of a set of possible patterns corresponding with each column of the set of columns. Furthermore, the server maps each column of the set of columns with a database column. The server stores each set of data elements of each respective column in the respective database column.