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How to Obtain EXIF Metadata from Images with Python\'s PIL Library?

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2024-10-22 22:11:031027browse

How to Obtain EXIF Metadata from Images with Python's PIL Library?

Extracting EXIF Metadata from Images Using Python PIL

When working with images, accessing embedded metadata can provide valuable information about the image's characteristics and acquisition settings. In Python, the Pillow (PIL) library offers a convenient way to extract EXIF metadata from images.

Question: How can I access the EXIF data of an image using Python's PIL library?

Answer:

To access the EXIF data of an image using PIL, you can utilize the _getexif() protected method of the Image class:

<code class="python">import PIL.Image
img = PIL.Image.open('img.jpg')
exif_data = img._getexif()</code>

The _getexif() method returns a dictionary of EXIF numeric tags. However, if you prefer the tags to be indexed by their actual string names, you can use a technique like the following:

<code class="python">import PIL.ExifTags
exif = {
    PIL.ExifTags.TAGS[k]: v
    for k, v in img._getexif().items()
    if k in PIL.ExifTags.TAGS
}</code>

This method ensures that your dictionary is indexed by the human-readable EXIF tag names, making it easier to interpret the metadata.

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