PyPDF2 doesn’t come as a part of the Python Standard Library, so you will need to install it yourself. In this article we will learn how to extract basic information about a PDF using PyPDF2 Getting Started It’s kind of a Swiss-army knife for existing PDFs. You can use it to extract metadata, rotate pages, split or merge PDFs and more. In the following code, we resize the file pdffile.pdf to “resizedpdffile.pdf”.There are lots of PDF related packages for Python. Sometimes we need to resize our PDF files. Pdfrw.PdfWriter().write(dest, myTemplate)Īfter running the above code, we will get the name in the field as shown below: Image = Image.open(io.BytesIO(img_bytes)) Print("There is no image on page ", page_number)įor img_index, img in enumerate(page.get_images(), start=1):īase_img = file_in_pdf_format.extract_image(xref) import fitzįile_in_pdf_format = fitz.open("ExtractImage.pdf")įor page_number in range(len(file_in_pdf_format)): Now, let’s have a look at the code below which retrieves the images from our PDF file and saves them in the current directory. To demonstrate this, we create a sample PDF file with images called ExtractImage.pdf and place it next to our Python file: For this purpose, we use the PyMuPDF library to fetch it from our PDF file and Pillow to save it to our local machine. In this section, we are going to parse a PDF file to save the images from it to our local machine. To install it, we need to configure poppler to our system.įor Windows, we need to download it to our system and add the following to our PATH as an argument to convert_from_path: poppler_path = r"C:\path\to\poppler-xx\bin"įor Linux users (Debian based), we can install it simply by: Pdf2image is a Python library for converting PDF files to images. To install PyMuPDF for Python, we use the following pip command: pip install PyMuPDF It is also very convenient when dealing with images in a PDF file. PyMuPDF is a multi-platform, lightweight PDF, XPS, and E-book viewer, renderer, and toolkit. If you are using Anaconda, you can install tabula-py using the following command: conda install tabula-py To install tabula-py for Python, we use the following pip command: pip install tabula-py The tabula-py is a library vastly used by data science professionals to parse data from PDFs of unconventional format to tabulate it. If you are using Anaconda, you can install PDFrw using the following command: conda install PDFrw To install PDFrw for Python, we use the following pip command: pip install PDFrw The main differences between these two libraries are the ability of PyPDF2 to encrypt files and the ability of PDFrw to integrate with ReportLab. The PDFrw library is another alternative to PyPDF2. If you are using Anaconda, you can install PyPDF2 using the following command: conda install pyPDF2 To install PyPDF2 for Python, we use the following pip command: pip install pyPDF2 In this tutorial, we will run our code using PyPDF2 since PyPDF4 is not fully compatible with Python 3. Now pyPDF, PyPDF2, and PyPDF4 versions of this library exist and the main difference between pyPDF and PyPDF2+ is that PyPDF2+ versions are made compatible with Python 3. The later developments of the package came as a response to making it compatible with different versions of Python and optimization purposes. The main libraries for dealing with PDF files are PyPDF2, PDFrw, and tabula-py.
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