Extract Text from PDFs & Images for LLMs Using Python

I'm trying to compile some code to convert PDF to text, but the result is not what I expected. I have tried different libraries such as pytesseract, pdfminer, ...

PDFText extracts plain text or structured blocks and lines. It's built on pypdfium2, so it's fast, accurate, and Apache licensed.

Python provides a diverse range of libraries and tools to extract text from PDF files, catering to various complexities and requirements.

The pdf2image library is a Python package that converts PDF documents into PIL Image objects. It leverages popular external tools like Poppler ...

You can extract text from a PDF: from pypdf import PdfReader reader = PdfReader(example.pdf) page = reader.pages[0] print(page.extract_text())

I'm trying to extract the text included in this PDF file using Python. I'm using the PyPDF2 package (version 1.27.2), and have the following script.

We will extract text from pdf files using two Python libraries, pypdf and PyMuPDF, in this article. Extracting text from a PDF file using the pypdf library.

pdfplumber is a Python library that provides advanced capabilities for extracting text, tables and metadata from PDF files.

In my experience, PyMuPDF is the best open-source Python library for this, better than PDFplumber, PyPDF2, and others.

Today we will be learning how we can extract the text from PDF files in Python 3.10, so that we can later process that text in any way we ...