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1. PDF EXTRACT TEXT BOXES PYTHON PDF
2. PDF EXTRACT TEXT BOXES PYTHON TRIAL
3. PDF EXTRACT TEXT BOXES PYTHON SERIES
4. PDF EXTRACT TEXT BOXES PYTHON FREE

PDF EXTRACT TEXT BOXES PYTHON PDF

I came across a great Python-based solution to extract the text from a PDF is PDFMiner. Method 2: PDFMiner for extracting text data from PDFs This served my purpose, but since is paid I moved on exploring other tools for data extraction.

PDF EXTRACT TEXT BOXES PYTHON FREE

With this free trial, I was able to upload this pdf and write the response to an excel.

PDF EXTRACT TEXT BOXES PYTHON TRIAL

You can get an API key by creating an account on the site for a free trial ( is paid, getting an API Key is restricted to certain pages only). It provides us with an API key using which we can post a request to the PDFTables website to get the table extraction. The PDFTables package extracts tables from PDF files and allows the user to convert PDF tables to formats (CSV, XLM, or XLSX). Now that I have a PDF with all of the table data that I need, I can now use PDFTables to write the table data to an Excel/CSV file. Writing the Table Data to a Excel using PDFTables This can be problematic because it produces sections of text that aren’t useful and look confusing (for instance, lots of numbers mashed together) The problem with this is that if there are tables in the document, the text in the tables is extracted in-line with the rest of the document text. PyPDF2 library extracts the text from a PDF document very nicely. PDFTables puts everything (not just tables) in the PDF document into the output Excel or CSV, to avoid having a lot of junk data in the Excel I created a separate PDF with just the table that I want to extract. The purpose of writing this page with tables into separate pdf file is that I used PDFTables for extracting data. After that, I created a PdfFileWriter object, which will eventually write a new PDF and add the pages to it. getPage() method, with the page number + 1 as the parameter (pages start at 0), on PdfFileReader object. Writer.write(outputStream) #write pages to new PDF With open(NewPDFfilename, "wb") as outputStream: #create new PDF #filename of your PDF/directory where you want your new PDF to be Writer = PyPDF2.PdfFileWriter() #create PdfFileWriter object write (outputStream ) #write pages to new PDF NewPDFfilename = "hispanic_tables.pdf" with open (NewPDFfilename, "wb" ) as outputStream: #create new PDF addPage (pg3 ) #filename of your PDF/directory where you want your new PDF to be PdfFileWriter ( ) #create PdfFileWriter object #add pages I used PdfFileReader() and PdfFileWriter() classes for reading and writing the table data. Reading a PDF document is pretty simple and straight forward. But it can extract text and return it as a Python string. After spending a little time with it, I realized PyPDF2 does not have a way to extract images, charts, or other media from PDF documents.

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.

PDF EXTRACT TEXT BOXES PYTHON SERIES

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.