In this tutorial, I will guide you through the process of extracting tables and their line items using Deep Learning libraries, OCR, and ultimately leveraging the LLM (Large Language Model) to extract the line items within the table.
To extract the items within the table, we will perform the following steps:
Utilize Deep Learning for table detection and extraction.
Employ OCR Deep Learning and a Large Language Model for table line items extraction.
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Utilize Deep Learning for Table Detection and Extraction
A while back, I wrote an article on extracting table data using RetinaNet with Keras. I need to annotate the tables and then train the model using RetinaNet.
