Pypdf2 extract text gibberish2/2/2023 PyPDF2 can extract data from PDF files and manipulate existing PDFs to produce a new file. When I Googled around for ‘Python read pdf’, PyPDF2 was the first tool I stumbled upon. Method 1: Extract the Pages with Tables using PyPDF2 and PDFTables I liked this solution much better and I am using it for my work. ![]() Later I came across PDFMiner and started exploring it for extracting data using its pdf2txt.py script. It did serve my requirement but is paid service. I will extract the table data for Hispanic or Latino Origin Population by Type: 20 from of the PDF file.įor achieving this, I first tried using PyPDF2 (for extracting) and PDFtables (for converting PDF tables to Excel/CSV). If you look at the content of the PDF, you can see that there is a lot of text data, table data, graphs, maps etc. ![]() We will take an example of US census data for the Hispanic Population for 2010. ![]() In this post, I will show you a couple of ways to extract text and table data from PDF file using Python and write it into a CSV or Excel file. The PDF file format was not designed to hold structured data, which makes extracting data from PDFs difficult. When government organizations publish data online, barring a few notable exceptions, it usually releases it as a series of PDFs. When testing highly data dependent products, I find it very useful to use data published by governments.
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