In my experience, PyMuPDF is the best open-source Python library for this, better than PDFplumber, PyPDF2, and others. For paid options, Azure Document Intelligence is excellent; it can even handle unstructured tables. Answer from ImGallo on reddit.com
Medium
onlyoneaman.medium.com › i-tested-7-python-pdf-extractors-so-you-dont-have-to-2025-edition-c88013922257
I Tested 7 Python PDF Extractors So You Don’t Have To (2025 Edition) | by Aman Kumar | Medium
July 21, 2025 - # pip install pypdf from pypdf import PdfReader reader = PdfReader("doc.pdf") text = "\n".join(p.extract_text() for p in reader.pages)
GitHub
github.com › py-pdf › pypdf
GitHub - py-pdf/pypdf: A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files · GitHub
from pypdf import PdfReader reader = PdfReader("example.pdf") number_of_pages = len(reader.pages) page = reader.pages[0] text = page.extract_text()
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How To Read PDF Files In Python - YouTube
Extract Text From PDF File In 90 Seconds Using Python - YouTube
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How to read PDF file from the web in Python - YouTube
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How to Parse PDFs in Python | Extract Text from PDF Files - YouTube
- YouTube
Read Form Field Data from a PDF using Python - Quick Start
Reddit
reddit.com › r/langchain › what’s the best python library for extracting text from pdfs?
r/LangChain on Reddit: What’s the Best Python Library for Extracting Text from PDFs?
July 19, 2024 -
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!
Top answer 1 of 27
38
In my experience, PyMuPDF is the best open-source Python library for this, better than PDFplumber, PyPDF2, and others. For paid options, Azure Document Intelligence is excellent; it can even handle unstructured tables.
2 of 27
12
llama parse, use it, super cheap and has a free version up to 3000 pages Best in the world
Plotly
plotly.com › python
Plotly Python Graphing Library
Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts. Plotly.py is free and open source ...
Unstract
unstract.com › home › product › python libraries to extract table from pdf
Best Python Libraries to Extract Tables From PDF in 2026
December 16, 2025 - Easy installation and use within Python. The ability to handle multiple pages and get tables from all of them. Support for saving tables in CSV, JSON, and TSV formats. Pdfplumber is a versatile library that’s great at getting text and tables out of PDFs accurately.
PyPI
pypi.org › project › pdfreader
pdfreader · PyPI
Author & Maintainer: Maksym Polshcha ... is a Pythonic API for: extracting texts, images and other data from PDF documents (plain or protected) accessing different objects within PDF documents ·...
» pip install pdfreader
The Seattle Data Guy
theseattledataguy.com › home › blog › challenges you will face when parsing pdfs with python – how to parse pdfs with python
Challenges You Will Face When Parsing PDFs With Python - How To Parse PDFs With Python - Seattle Data Guy
November 19, 2024 - It excels at handling PDFs with complex layouts, making it ideal for extracting tabular data and analyzing precise document structures. Its ability to extract tables and text accurately makes it a go-to tool for processing financial statements, invoices, and reports. Roe.ai – If you’re not comfortable with Python or you just want to be able to run large queries over your PDFs, you can use tools like Roe AI.
Devzery
devzery.com › post › guide-to-reading-pdfs-with-python
Guide to Reading PDFs with Python: Comprehensive Approach
September 22, 2024 - Master reading PDFs with Python in this guide. Explore top libraries, techniques, and tips for extracting data from PDF files efficiently using Python.
GeeksforGeeks
geeksforgeeks.org › python › how-to-extract-pdf-tables-in-python
How to Extract PDF Tables in Python? - GeeksforGeeks
July 23, 2025 - When your PDF has nicely drawn tables with clear lines or spaces, Camelot works wonders. It’s like a smart scanner that spots these tables and turns them into neat data frames you can easily handle in Python.
Analytics Vidhya
analyticsvidhya.com › home › pypdf2 library for working with pdf files in python
PyPDF2 Library for Working with PDF Files in Python
November 20, 2024 - PyPDF2: This Python library performs major tasks on PDF files, such as extracting document-specific information, merging PDF files, splitting pages of a PDF file, adding watermarks to a file, and encrypting or decrypting PDF files.
Readthedocs
pdfreader.readthedocs.io › en › latest › tutorial.html
Tutorial — pdfreader 0.1.15 documentation
>>> fd = open(file_name, "rb") ... 10, 29, ... 'Producer': 'SAMBox 1.1.19 (www.sejda.org)'} The viewer instance gets content you see in your Adobe Acrobat Reader....
DEV Community
dev.to › vast-cow › a-simple-python-tool-for-controlled-pdf-text-extraction-pypdf-3gi7
A Simple Python Tool for Controlled PDF Text Extraction (PyPDF) - DEV Community
January 19, 2026 - Overall, the script provides a practical balance between simplicity and control, making it useful for batch processing PDFs or integrating into larger text-processing workflows. #!/usr/bin/env python3 from __future__ import annotations import math import sys from typing import Iterator, Optional, Tuple from pypdf import PdfReader # ========================= # Extraction conditions (adjust only here if needed) # ========================= TARGET_FONTS = { ("Hoge", 12.555059999999997), ("Fuga", 12.945840000000032), } SIZE_TOL = 1e-6 # Tolerance for math.isclose # As in the original code, extraction of all text (font filter disabled) is the default ENABLE_FONT_FILTER = False def _normalize_font_name(raw) -> Optional[str]: """ Convert and normalize font information passed from pypdf into a string.
Top answer 1 of 7
6
import re
from PyPDF2 import PdfFileReader
reader = PdfFileReader("example.pdf")
for page in reader.pages:
text = page.extractText()
text_lower = text.lower()
for line in text_lower:
if re.search("abc", line):
print(line)
I use it to iterate page by page of pdf and search for key terms in it and process further.
2 of 7
0
May be this can help you to read PDF.
import pyPdf
def getPDFContent(path):
content = ""
pages = 10
p = file(path, "rb")
pdf_content = pyPdf.PdfFileReader(p)
for i in range(0, pages):
content += pdf_content.getPage(i).extractText() + "\n"
content = " ".join(content.replace(u"\xa0", " ").strip().split())
return content
PyPDF
pypdf.readthedocs.io › en › stable › modules › PdfReader.html
The PdfReader Class — pypdf 6.9.2 documentation
Initialize a PdfReader object · This operation can take some time, as the PDF stream’s cross-reference tables are read into memory
React-pdf
react-pdf.org
React-pdf
React renderer for creating PDF files on the browser and server
PyPI
pypi.org › project › py-pdf-parser
py-pdf-parser
JavaScript is disabled in your browser. Please enable JavaScript to proceed · A required part of this site couldn’t load. This may be due to a browser extension, network issues, or browser settings. Please check your connection, disable any ad blockers, or try using a different browser
DEV Community
dev.to › mhamzap10 › 5-best-python-pdf-libraries-every-net-developer-should-know-25b9
5 Best Python PDF Libraries Every .NET Developer Should Know - DEV Community
July 13, 2025 - If you’ve worked with PDFs in Python before, chances are you've come across PyPDF2. The library has now been continued under the name pypdf, and it’s better maintained. It's great for basic operations like combining PDF files, rotating pages, or reading content from existing PDFs. ... from pypdf import PdfReader reader = PdfReader("sample.pdf") for page in reader.pages: print(page.extract_text())
freeCodeCamp
freecodecamp.org › news › how-to-work-with-pdf-files-in-python-a-pypdf-guide
How to Work with PDF Files in Python: A PyPDF Guide
January 23, 2026 - The first step in most tasks is opening a PDF file. PyPDF makes this simple using the PdfReader class. from pypdf import PdfReader reader = PdfReader("sample.pdf") print(len(reader.pages))
GeeksforGeeks
geeksforgeeks.org › python › working-with-pdf-files-in-python
Working with PDF files in Python - GeeksforGeeks
June 21, 2025 - We will be using a third-party module, pypdf. pypdf is a python library built as a PDF toolkit. It is capable of: Extracting document information (title, author, …) ... This module name is case-sensitive, so make sure the y is lowercase and ...
PyPDF
pypdf.readthedocs.io
Welcome to pypdf — pypdf 6.9.2 documentation
pypdf is a free and open source pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files. It can also add custom data, viewing options, and passwords to PDF files.