Nire Bryce

Well howdy, partner! When it comes to parsing text from PDFs in Python, there are a few mighty fine libraries to choose from in 2023. Let me tell you about some of the best ones.

1. PyPDF2: This library has been around for a while, but it's still a reliable choice for parsing PDFs in Python. It can extract text and metadata from PDFs, as well as merge and split PDFs. However, it can struggle with some complex PDF structures.

2. pdfminer: This library is another solid choice for parsing PDFs. It can extract text and metadata from PDFs, and it's designed to handle a wide range of PDF structures. However, it can be a bit more difficult to use than some other libraries.

3. tika-python: Tika is a Java-based library for parsing all sorts of document formats, including PDFs. The tika-python library is a Python wrapper around Tika, which makes it easy to use Tika's PDF parsing capabilities in your Python code. It can extract text, metadata, and even structured data from PDFs.

4. pdftotext: This library is a Python wrapper around the pdftotext command line tool, which is part of the poppler-utils package. It can extract text from PDFs with high accuracy, and it's very easy to use. However, it doesn't offer as much flexibility as some other libraries.

There are, of course, other libraries out there as well, but these are some of the most popular and reliable choices for parsing text from PDFs in Python. I hope this helps you find the right tool for the job, partner!