Metadata-Version: 2.1
Name: exif
Version: 1.3.2
Summary: Read and modify image EXIF metadata using Python.
Home-page: https://gitlab.com/TNThieding/exif
Author: Tyler N. Thieding
Author-email: python@thieding.com
Maintainer: Tyler N. Thieding
Maintainer-email: python@thieding.com
License: UNKNOWN
Download-URL: https://gitlab.com/TNThieding/exif
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Multimedia :: Graphics :: Editors
Requires-Python: >=3.7
License-File: LICENSE

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[exif] Package
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.. image:: https://www.gitlab.com/TNThieding/exif/badges/master/pipeline.svg
    :target: https://gitlab.com/TNThieding/exif

.. image:: https://www.gitlab.com/tnthieding/exif/badges/master/coverage.svg
    :target: https://gitlab.com/TNThieding/exif

.. image:: https://readthedocs.org/projects/exif/badge/?version=latest
    :target: https://exif.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/psf/black

.. image:: http://www.mypy-lang.org/static/mypy_badge.svg
    :target: http://mypy-lang.org/
    :alt: Checked with mypy

Read and modify image EXIF metadata using Python without any third-party software
dependencies. For example, batch process image metadata using a Python script.

***********
Quick Start
***********

Open an image with EXIF metadata using the Python ``open()`` built-in function. Ensure the
binary mode flag is set. Pass this image file object into the ``exif.Image`` class::

    >>> from exif import Image
    >>> with open('grand_canyon.jpg', 'rb') as image_file:
    ...     my_image = Image(image_file)
    ...
    >>> my_image.has_exif
    True

List EXIF attributes using the ``list_all()`` method::

    >>> my_image.list_all()
    ['_exif_ifd_pointer', '_gps_ifd_pointer', 'aperture_value', 'brightness_value', 'color_space',
     'components_configuration', 'compression', 'datetime', 'datetime_digitized', 'datetime_original', 'exif_version',
     'exposure_bias_value', 'exposure_mode', 'exposure_program', 'exposure_time', 'f_number', 'flash',
     'flashpix_version', 'focal_length', 'focal_length_in_35mm_film', 'gps_altitude', 'gps_altitude_ref',
     'gps_datestamp', 'gps_dest_bearing', 'gps_dest_bearing_ref', 'gps_horizontal_positioning_error',
     'gps_img_direction', 'gps_img_direction_ref', 'gps_latitude', 'gps_latitude_ref', 'gps_longitude',
     'gps_longitude_ref', 'gps_speed', 'gps_speed_ref', 'gps_timestamp', 'jpeg_interchange_format',
     'jpeg_interchange_format_length', 'lens_make', 'lens_model', 'lens_specification', 'make', 'maker_note',
     'metering_mode', 'model', 'orientation', 'photographic_sensitivity', 'pixel_x_dimension', 'pixel_y_dimension',
     'resolution_unit', 'scene_capture_type', 'scene_type', 'sensing_method', 'shutter_speed_value', 'software',
     'subject_area', 'subsec_time_digitized', 'subsec_time_original', 'white_balance', 'x_resolution',
     'y_and_c_positioning', 'y_resolution']

Access EXIF metadata tags using Python attribute notation::

    >>> # Read tags with Python "get" notation.
    >>> my_image.gps_latitude
    (36.0, 3.0, 11.08)
    >>> my_image.gps_longitude
    (112.0, 5.0, 4.18)
    >>> my_image.model
    'iPhone 7'
    >>>
    >>> # Modify tags with Python "set" notation.
    >>> my_image.make = "Python"
    >>>
    >>> # Delete tags with Python "del" notation.
    >>> del my_image.gps_latitude
    >>> del my_image.gps_longitude
    >>>
    >>> # Add new tags with Python "set" notation.
    >>> from exif import LightSource
    >>> my_image.light_source = LightSource.DAYLIGHT

Write the image with modified EXIF metadata to an image file using ``open()`` in binary
write mode::

    >>> with open('modified_image.jpg', 'wb') as new_image_file:
    ...     new_image_file.write(my_image.get_file())
    ...

Refer to the `usage page <https://exif.readthedocs.io/en/latest/usage.html>`_ for information and examples of alternative ways to access EXIF tags (e.g.
with index/item syntax or with methods).


