EXIF.py
Easy to use Python module to extract Exif metadata from digital image files.
Supported formats: TIFF, JPEG, Webp, HEIC
Compatibility
EXIF.py is tested and officially supported on the following Python versions:
- 3.5
- 3.6
- 3.7
- 3.8
Starting with version 3.0.0, Python2 compatibility is dropped completely (syntax errors due to type hinting).
Installation
PyPI
The recommended process is to install the PyPI package, as it allows easily staying up to date:
$ pip install exifread
See the pip documentation for more info.
Archive
Download an archive from the project's releases page.
Extract and enjoy.
Usage
Command line
Some examples:
$ EXIF.py image1.jpg $ EXIF.py -dc image1.jpg image2.tiff $ find ~/Pictures -name "*.jpg" -o -name "*.tiff" | xargs EXIF.py
Show command line options:
$ EXIF.py -h
Python Script
import exifread
# Open image file for reading (must be in binary mode)
f = open(path_name, 'rb')
# Return Exif tags
tags = exifread.process_file(f)
Note: To use this library in your project as a Git submodule, you should:
fromimport exifread
Returned tags will be a dictionary mapping names of Exif tags to their values in the file named by path_name. You can process the tags as you wish. In particular, you can iterate through all the tags with:
for tag in tags.keys():
if tag not in ('JPEGThumbnail', 'TIFFThumbnail', 'Filename', 'EXIF MakerNote'):
print "Key: %s, value %s" % (tag, tags[tag])
An if statement is used to avoid printing out a few of the tags that tend to be long or boring.
The tags dictionary will include keys for all of the usual Exif tags, and will also include keys for Makernotes used by some cameras, for which we have a good specification.
Note that the dictionary keys are the IFD name followed by the tag name. For example:
'EXIF DateTimeOriginal', 'Image Orientation', 'MakerNote FocusMode'
Tag Descriptions
Tags are divided into these main categories:
Image: information related to the main image (IFD0 of the Exif data).Thumbnail: information related to the thumbnail image, if present (IFD1 of the Exif data).EXIF: Exif information (sub-IFD).GPS: GPS information (sub-IFD).Interoperability: Interoperability information (sub-IFD).MakerNote: Manufacturer specific information. There are no official published references for these tags.
Processing Options
These options can be used both in command line mode and within a script.
Faster Processing
Don't process makernote tags, don't extract the thumbnail image (if any).
Pass the -q or --quick command line arguments, or as:
tags = exifread.process_file(f, details=False)
Stop at a Given Tag
To stop processing the file after a specified tag is retrieved.
Pass the -t TAG or --stop-tag TAG argument, or as:
tags = exifread.process_file(f, stop_tag='TAG')
where TAG is a valid tag name, ex 'DateTimeOriginal'.
The two above options are useful to speed up processing of large numbers of files.
Strict Processing
Return an error on invalid tags instead of silently ignoring.
Pass the -s or --strict argument, or as:
tags = exifread.process_file(f, strict=True)
Usage Example
This example shows how to use the library to correct the orientation of an image (using Pillow for the transformation) before e.g. displaying it.
import exifread
from PIL import Image
import logging
def _read_img_and_correct_exif_orientation(path):
im = Image.open(path)
tags = {}
with open(path, 'rb') as f:
tags = exifread.process_file(f, details=False)
if "Image Orientation" in tags.keys():
orientation = tags["Image Orientation"]
logging.basicConfig(level=logging.DEBUG)
logging.debug("Orientation: %s (%s)", orientation, orientation.values)
val = orientation.values
if 5 in val:
val += [4,8]
if 7 in val:
val += [4, 6]
if 3 in val:
logging.debug("Rotating by 180 degrees.")
im = im.transpose(Image.ROTATE_180)
if 4 in val:
logging.debug("Mirroring horizontally.")
im = im.transpose(Image.FLIP_TOP_BOTTOM)
if 6 in val:
logging.debug("Rotating by 270 degrees.")
im = im.transpose(Image.ROTATE_270)
if 8 in val:
logging.debug("Rotating by 90 degrees.")
im = im.transpose(Image.ROTATE_90)
return im
Credit
A huge thanks to all the contributors over the years!
Originally written by Gene Cash & Thierry Bousch.
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