Easy to use Python module to extract Exif metadata from digital image files.
Supported formats: TIFF, JPEG, PNG, Webp, HEIC
EXIF.py is tested and officially supported on Python 3.5 to 3.11
Starting with version 3.0.0, Python2 compatibility is dropped completely (syntax errors due to type hinting).
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.
EXIF.py is mature software and strives for stability.
After cloning the repo, use the provided Makefile:
make venv reqs-install
Which will install a virtual environment and install development dependencies.
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
import exifread
# Open image file for reading (must be in binary mode)
with open(file_path, "rb") as file_handle:
# Return Exif tags
tags = exifread.process_file(file_handle)Note: To use this library in your project as a Git submodule, you should:
from <submodule_folder> import exifread
Returned tags will be a dictionary mapping names of Exif tags to their
values in the file named by file_path.
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'
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.
These options can be used both in command line mode and within a script.
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(file_handle, details=False)To process makernotes only, without extracting the thumbnail image (if any):
tags = exifread.process_file(file_handle, details=True, extract_thumbnail=False)To extract the thumbnail image (if any), without processing makernotes:
tags = exifread.process_file(file_handle, details=False, extract_thumbnail=True)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(file_handle, 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.
Return an error on invalid tags instead of silently ignoring.
Pass the -s or --strict argument, or as:
tags = exifread.process_file(file_handle, strict=True)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 file_handle:
tags = exifread.process_file(file_handle, 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 2 in val:
val += [4, 3]
if 5 in val:
val += [4, 6]
if 7 in val:
val += [4, 8]
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 imCopyright © 2002-2007 Gene Cash
Copyright © 2007-2023 Ianaré Sévi and contributors
A huge thanks to all the contributors over the years!
Originally written by Gene Cash & Thierry Bousch.
Available as open source under the terms of the BSD-3-Clause license.
See LICENSE.txt file for details.