How to Convert PDF to JPG Using Python
Converting PDF files to JPG images is a common task, especially when you need to extract pages as images for presentations, reports, or web content. Python makes this process simple with powerful libraries like pdf2image
, which is widely used for PDF-to-image conversions.
Prerequisites
Before we begin, ensure you have the following installed:
- Python 3.6+ (recommended)
- The
pdf2image
library Pillow
(for image processing)poppler-utils
(required forpdf2image
to work)
Installing Required Libraries
Run the following commands in your terminal or command prompt:
pip install pdf2image Pillow
For Linux users, install poppler-utils
using:
sudo apt-get install poppler-utils
Windows users can download Poppler from this link and add it to the system PATH.
Step-by-Step Conversion Process
1. Import Required Modules
First, import the necessary modules in your Python script:
from pdf2image import convert_from_path
import os
2. Convert PDF to JPG
Use the convert_from_path
function to extract pages as images:
def pdf_to_jpg(pdf_path, output_folder):
# Create output folder if it doesn't exist
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# Convert PDF to list of images
images = convert_from_path(pdf_path)
# Save each page as a JPG
for i, image in enumerate(images):
image.save(f"{output_folder}/page_{i+1}.jpg", "JPEG")
print(f"Conversion complete! Images saved in {output_folder}")
# Example usage
pdf_to_jpg("sample.pdf", "output_images")
3. Customising Image Quality
You can adjust the DPI (dots per inch) for better resolution:
images = convert_from_path(pdf_path, dpi=300)
Handling Large PDFs Efficiently
For large PDFs, process pages in batches to save memory:
images = convert_from_path(pdf_path, first_page=1, last_page=5)
Conclusion
Using Python’s pdf2image
library, converting PDFs to JPGs is straightforward and efficient. Whether you need to extract a single page or an entire document, this method ensures high-quality results with minimal effort.
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