Hello everyone, I hope you're all doing well! I’m currently on the lookout for a library that can extract text in paragraph chunks from PDFs. For instance, I need it to pull out the Introduction with all its paragraphs separately, the Conclusion with all its paragraphs separately, and so on, essentially chunking the text by paragraphs. Do you have any suggestions? Thanks!
data mining - How to extract paragraphs from text document? - Data Science Stack Exchange
PDF Extraction with python wrappers
How to extract text from a PDF file via python? - Stack Overflow
Extracting certain paragraphs from pdf
I was looking for a simple solution to use for python 3.x and windows. There doesn't seem to be support from textract, which is unfortunate, but if you are looking for a simple solution for windows/python 3 checkout the tika package, really straight forward for reading pdfs.
Tika-Python is a Python binding to the Apache Tika REST services allowing Tika to be called natively in the Python community.
from tika import parser # pip install tika
raw = parser.from_file('sample.pdf')
print(raw['content'])
Note that Tika is written in Java so you will need a Java runtime installed.
pypdf recently improved a lot. Depending on the data, it is on-par or better than pdfminer.six.
pymupdf / tika / PDFium are better than pypdf, but the difference became rather small - (mostly when to set a new line). The core part is that they are way faster. But they are not pure-Python which can mean that you cannot execute it. And some might have too restrictive licenses so that you may not use it.
Have a look at the benchmark. This benchmark mainly considers English texts, but also German ones. It does not include:
- Anything special regarding tables (just that the text is there, not about the formatting)
- Arabic test (RTL-languages)
- Mathematical formulas.
That means if your use-case requires those points, you might perceive the quality differently.
Having said that, the results from November 2022:


pypdf
I became the maintainer of pypdf and PyPDF2 in 2022! The community improved the text extraction a lot in 2022. Give it a try :-)
First, install it:
pip install pypdf
And then use it:
from pypdf import PdfReader
reader = PdfReader("example.pdf")
text = ""
for page in reader.pages:
text += page.extract_text() + "\n"
Please note that those packages are not maintained:
- PyPDF2, PyPDF3, PyPDF4
pdfminer(without .six)
pymupdf
import fitz # install using: pip install PyMuPDF
with fitz.open("my.pdf") as doc:
text = ""
for page in doc:
text += page.get_text()
print(text)
Other PDF libraries
- pikepdf does not support text extraction (source)
Hi guys,
I'm very new to r so if this is a dumb question then forgive me.
I am working on a project where i have a certain set of pdf files and i need to extract specific data using keywords. e.g. we only need the paragraph that start with the header 'clients'.
Does anybody know how i can do this?