extract_meta.py

from PIL import Image
from PIL.ExifTags import TAGS
import os

# ask for image path
accepted_exts = ['jpg', 'jpeg', 'png', 'gif']

# exits if path not found
img_path = input('please provide path and hit enter: ')
if not os.path.exists(img_path): exit(f'invalid path provided, cannot find anything at {img_path')

# exits if file isnt of accepted type
else: 
  if not os.path.splitext(img_path)[1].replace('.', '') in accepted_exts: exit(f'provided file is of type {os.path.splitext(img_path)[1].replace(".", "")}, and not one of the following: {", ".join(accepted_exts)}')

# import image using PIL.Image
image = Image.open(img_path)

# start making our dictionary item
img_dict = {
  'filename': image.filename,
  'size': image.size,
  'height': image.height,
  'width': image.width,
  'format': image.format,
  'mode': image.mode
}

# grab exif data from image
exif_data = image.getexif()

# iterate, and decode if required
for tag_id in exif_data:
  tag = TAGS.get(tag_id, tag_id)
  data = exif_data.get(tag_id)
  if isinstance(data, bytes): data = data.decode()
  img_dict[tag] = data

# this just looks nicer than print(img_dict)
for k, v in img_dict.items():
  print(f'{k}: {v}')

Extract MetaData (Exif Data) from an image

This can at times extract information such as gps coordinates of the image, when taken on a gps capable device.
Otherwise, expect to see data such as the date it was taken / modified and by what camera or software respectively

Very simple implementation of pillow, taking user input to get exif data, this can easily be modified to loop over files in a directory