Hey everyone! I'm currently working on a project where I need to develop a PDF text extraction tool within the Databricks environment. I'm utilizing a Python package called PyMuPDF to extract information from financial reports. Specifically, I'm interested in extracting data from balance sheets that include charts and formulas. My goal is to automate this process completely. Do you have any suggestions on how I can achieve this or what technologies I should consider? If you've ever come across a balance sheet in a PDF, I'd love your insights on how to extract and transform that data into a structured format!
3 Answers
Make sure you're thinking ahead about how to efficiently grab the specific text you need. It's often tricky to segregate unnecessary elements from the vital data points you want!
Have you made any progress with PyMuPDF yet? It’s key to understand what you can extract and how to manipulate that data moving forward. How are you planning to filter and select specific text from the extracted elements?
I would recommend breaking this task into smaller, manageable components. Start with the extraction of data, then move on to parsing, and finally model your outputs. This way, you can tackle smaller issues like handling formulas effectively and refine your focus for specific challenges. Good luck!
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