Cracking the Code: Extracting Text from PDFs with Python
Have you ever found yourself in a situation where you needed to extract text from a PDF document? Maybe you’re trying to automate a process at work, or perhaps you’re just curious about how to tackle this common programming challenge. Well, buckle up, because today you’re diving into a Python solution that’s as cool as a cucumber wearing sunglasses!
The Tools of the Trade: PDFMiner and Pytesseract
Before delving into the code, let’s familiarize ourselves with the tools we’ll utilize. First up is PDFMiner, akin to a versatile Swiss Army knife for handling PDFs, enabling seamless extraction of text from these files.
Next in line is Pytesseract, acting as a Python interface for Google’s Tesseract-OCR Engine. It’s akin to possessing a pair of X-ray glasses capable of reading text from images. Pretty cool, huh? You can install the Pytesseract engine from the following link: Pytesseract Engine Installation.
Additionally, if you haven’t installed poppler yet, you can obtain it from the following link and extract it into your program files: Poppler Installation.
