End-to-end system for extracting tabular data present in electronic documents and method thereof

An end-to-end system for extracting tabular data present in a document, the system comprising:

• a memory storing computer executable instructions;
• and
• at least one processor in electronic communication with the memory and configured to:
• detect presence of at least one table in the document using a trained deep learning based model and a statistical method;
• determine a count of horizontal and vertical lines, presence of outer borders, and presence of row-column intersections in the at least one table;
• identify, based on a result of the determination, a type of the at least one table from among a bordered table, a partially bordered table, or a borderless table;
• process the detected at least one table, depending on its type, to identify one or more cells present in the at least one table;
• and
• generate an output file by extracting the tabular data present in the at least one table, wherein the extracting comprises performing optical character recognition (OCR) on the identified one or more cells.

A non-transitory computer readable media storing one or more instructions executable by at least one processor for extracting tabular data present in a document, the one or more instructions comprising:

• one or more instructions for detecting presence of at least one table in the document using a trained deep learning based model and a statistical method;
• one or more instructions for determining a count of horizontal and vertical lines, presence of outer borders, and presence of row-column intersections in the at least one table;
• one or more instructions for identifying, based on a result of the determination, a type of the at least one table from among a bordered table, a partially bordered table, or a borderless table;
• one or more instructions for processing the detected at least one table, depending on its type, to identify one or more cells present in the at least one table;
• and
• one or more instructions for generating an output file by extracting the tabular data present in the at least one table, wherein the extracting comprises performing optical character recognition (OCR) on the identified one or more cells.