Table Extraction using LLMs: Unlocking Structured Data from Documents
Picture this - you’re drowning in a sea of PDFs, spreadsheets, and scanned documents, searching for that one piece of data trapped somewhere in a complex table. From financial reports and research papers, to resumes and invoices, these documents can contain complex tables with a wealth of structured data that needs to be quickly and accurately extracted. Traditionally, extracting this structured information has been a complex task in data processing. However, with the rise of the Large Language Model (LLM), we now have another tool with the potential to unlock intricate tabular data.
Tables are ubiquitous, holding a large volume of information packed in a dense format. The accuracy of a good table parser can pave the way to automation of a lot of workflows in a business.
This comprehensive guide will take you through the evolution of table extraction techniques, from traditional methods to the cutting-edge use of LLMs. Here's what you’ll learn:
