In Python, how do I read the exif data for an image?

Solution 1:

You can use the _getexif() protected method of a PIL Image.

import PIL.Image
img = PIL.Image.open('img.jpg')
exif_data = img._getexif()

This should give you a dictionary indexed by EXIF numeric tags. If you want the dictionary indexed by the actual EXIF tag name strings, try something like:

import PIL.ExifTags
exif = {
    PIL.ExifTags.TAGS[k]: v
    for k, v in img._getexif().items()
    if k in PIL.ExifTags.TAGS
}

Solution 2:

For Python3.x and starting Pillow==6.0.0, Image objects now provide a "public"/official getexif() method that returns a <class 'PIL.Image.Exif'> instance or None if the image has no EXIF data.

From Pillow 6.0.0 release notes:

getexif() has been added, which returns an Exif instance. Values can be retrieved and set like a dictionary. When saving JPEG, PNG or WEBP, the instance can be passed as an exif argument to include any changes in the output image.

As stated, you can iterate over the key-value pairs of the Exif instance like a regular dictionary. The keys are 16-bit integers that can be mapped to their string names using the ExifTags.TAGS module.

from PIL import Image, ExifTags

img = Image.open("sample.jpg")
img_exif = img.getexif()
print(type(img_exif))
# <class 'PIL.Image.Exif'>

if img_exif is None:
    print('Sorry, image has no exif data.')
else:
    for key, val in img_exif.items():
        if key in ExifTags.TAGS:
            print(f'{ExifTags.TAGS[key]}:{val}')
            # ExifVersion:b'0230'
            # ...
            # FocalLength:(2300, 100)
            # ColorSpace:1
            # ...
            # Model:'X-T2'
            # Make:'FUJIFILM'
            # LensSpecification:(18.0, 55.0, 2.8, 4.0)
            # ...
            # DateTime:'2019:12:01 21:30:07'
            # ...

Tested with Python 3.8.8 and Pillow==8.1.0.