Extract Bank Statement Data from PDF Using Python | Camelot, PyPDF2, Pandas & Tabulate
In this video, we’ll learn how to automatically extract data from a PDF bank statement using Python.
We’ll use:
a.PyPDF2 → to read and extract text from the first page
b.Camelot → to extract transaction tables from specific pages
c.Pandas → to clean and combine data
d.Tabulate → to display data in a clean, SQL-style table format
What You’ll Learn:
✅ How to read PDFs in Python
✅ How to extract tables from multi-page PDFs
✅ How to merge and clean tabular data
✅ How to make output more readable with tabulate
Code Highlights:
1.Read text from PDF page 1 (account details)
2.Extract tables from pages 2–5
3.Combine them into one clean DataFrame
4.Print results in a professional-looking table
Perfect for:
1.Data Analysts
2.Python Learners
3.Anyone automating PDF data extraction
python pdf extraction, pdf to excel, camelot python, pypdf2, bank statement data extraction, pandas, tabulate python