How to Extract Native Resolution Images from PDFs Using Python

Extracting Native Resolution Images from PDFs in Python

For accurate image extraction from PDFs, it's essential to maintain the original resolution and format of the images. PyMuPDF offers a convenient solution for this task.

To begin, import the PyMuPDF module and open the target PDF file:

<code class="python">import fitz
doc = fitz.open("file.pdf")</code>

Iterate through the pages and extract the images using getPageImageList:

<code class="python">for i in range(len(doc)):
    for img in doc.getPageImageList(i):
        xref = img[0]
        pix = fitz.Pixmap(doc, xref)</code>

Depending on the image type, write the image as PNG or convert CMYK images to RGB before writing as PNG:

<code class="python">if pix.n < 5:
            pix.writePNG("p%s-%s.png" % (i, xref))
else:               
            pix1 = fitz.Pixmap(fitz.csRGB, pix)
            pix1.writePNG("p%s-%s.png" % (i, xref))</code>

Here are additional resources to explore:

• [PyMuPDF Image Extraction Documentation](https://pymupdf.readthedocs.io/en/latest/image-extraction.html)
• [Improved FitZ Image Extraction for FitZ 1.19.6](https://stackoverflow.com/a/74345380)

With this Python solution, you can efficiently extract images from PDFs while preserving their native resolution and format, ensuring accurate reproduction and analysis.

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