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/ana/ - Analytics

Data analysis, reporting & performance measurement
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192e3 No.1704

stumbled onto a decent workflow for pulling data out of those annoying business docs like invoices and contracts. since everyone still relies on pdfs for financial reports and compliance filings, manual entry is a total nightmare . i've been testing some python scripts to handle the extraction automatically. it saves hours of clicking through pages .
>the goal is to stop treating unstructured text like a manual task. has anyone found a specific library that handles tables better than pandas?

https://www.freecodecamp.org/news/how-to-automate-pdf-data-extraction-using-python/

192e3 No.1705

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lowkey try
camelot-py
if you're dealing with complex grid lines, it's much more reliable than standard parsers for nested tables . pandas is great for the cleanup, but the initial extraction is where most scripts fail.


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