Text10 = extract_text("apple_10k.pdf", page_numbers = range(10)) If we want to limit our extraction to specific pages, we just need to pass that specification to extract_text using the page_numbers parameter. The code above will extract the text from each page in the PDF. The extract_text function, as can be seen below, shows that we can extract text from a PDF with one line code (minus the package import)! This is an advantage of pdfminer versus some other packages like PyPDF2.įrom pdfminer.high_level import extract_text This module within pdfminer provides higher-level functions for scraping text from PDF files. Next, let’s import the extract_text method from pdfminer.high_level. To download the version of the package we need, you can use pip (note we’re downloading pdfminer.six): pip install pdfminer.six The first package we’ll be using to extract text is pdfminer. First, we’ll just download this file to a local directory and save it as “apple_10k.pdf”. Scraping hightlightable textįor the first example, let’s scrape a 10-k form from Apple ( see here). On the other hand, to read scanned-in PDF files with Python, the pytesseract package comes in handy, which we’ll see later in the post.
Pdfminer (specifically pdfminer.six, which is a more up-to-date fork of pdfminer) is an effective package to use if you’re handling PDFs that are typed and you’re able to highlight the text. To read PDF files with Python, we can focus most of our attention on two packages – pdfminer and pytesseract.
#Pdf to text python how to
In this post, we’ll cover how to extract text from several types of PDFs. In a previous article, we talked about how to scrape tables from PDF files with Python.
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