How to Convert PDF to Image in Python

In this tutorial, we explore converting PDF pages to image files using Iron PDF in Python. We start by importing Iron PDF into a Python project and loading an existing PDF file named 'iron_pdf.pdf'. Utilizing the 'PDF document.from file' method, we access the PDF content and then extract its pages as image files using the 'rasterized to image files' method. This involves specifying output paths, desired DPI, and naming conventions for the image files. The images are saved in the 'asset SL images' folder with a 96 DPI resolution, named as 'PDF to image page .PNG', where '' represents the page number. Additionally, we create a PDF from a URL using the 'render URL as a PDF' method, storing the Google homepage image with the same DPI settings. For customized image sizes, we apply the 'rasterized to image files' method with set maximum height and width, saving images at 500 pixels and 200 DPI, named 'fixed image size * .PNG'. Ultimately, we run the project, generating output images representing each PDF page as separate PNG files. These images reflect different resolutions and sizes as specified. The tutorial concludes by inviting viewers to subscribe for more content and suggests trying the Iron PDF software trial.

Further Reading: Python PDF to Image file