Heuristic domain targeted table detection and extraction technique

This invention describes a software system that finds and extracts tables from documents. It works by first identifying table headers using groups of related words, then finding the data rows below by analyzing spacing. It aligns the data with the headers, cleans up any errors, and finally uses language understanding to analyze the table's content. The claims specifically mention processing medical data and using OCR to convert PDF image files into text.

Why it matters: Filed before the widespread adoption of advanced AI models like LLMs. These models significantly enhance the semantic understanding and natural language processing capabilities required for detecting headers, cleansing data, and analyzing table content, making the core techniques more powerful and easier to implement now.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, OCR, NLP, semantic analysis

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