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How to Extract Tables from PDF Files🗂️
Have you ever thought of how to extract tables from PDF files?
- Maybe we can use computer vision?
- Or the latest and the greatest LLMs?
Today, we’ll introduce ways to achieve this using LLMs and RAG systems.
Use case
One prominent use case for extracting tables from PDFs is in the realm of data analysis and reporting. Consider a scenario where an organization receives regular financial reports or business data in PDF format. These reports contain tables with essential financial data such as revenue, expenses, and profitability. To efficiently analyze and manipulate this data, extracting tables becomes crucial.
Challenges:
- Manual Data Entry: Without table extraction, analysts would need to manually transcribe data from the PDFs into a spreadsheet or database, which is time-consuming and error-prone.
- Data Accuracy: The risk of errors during manual entry increases, leading to inaccuracies in financial analysis and decision-making.
This is where an AI solution can come in!
But this is far from being a simple task.
🤔 Why is it so tricky?
It’s a challenging problem that stems from the complexity and variability of table structures, as well as the inherent lack of semantic understanding in PDF files. Tables in…
