IptcEditor 0.3.3.1

This is a python3 GTK3 wrapper for the EXIV2 application, which is used to read and edit IPTC (and other forms) of image metadata. It can handle bulk operations on directories of image files.

Description

Please note, this is a very early beta …

This is a python3 GTK3 wrapper for the EXIV2 application, used to read and edit IPTC image metadata. This application can handle bulk operations on directories of image files. Currently the application only allows editing of IPTC keywords (Iptc.Application2.Keyword). However, all IPTC tag types may be displayed or removed.

Features

• Read and edit IPTC image metadata.

• Select to operate on a single image file, or do bulk operations on a directory of image files.

• Allows for complete removal of unrequired IPTC fields

Usage

• Either select a single image file, or a directory containing image files. Acceptable mime image types are: jpg, jpeg, tif, tiff, png, gif.

• Switch to the Tagger tab to work on your selection.

• These functions are available:

  • Display Keyphrases (button): Shows all the keywords of the selected file(s).

  • Display IPTC Tag Types (button): Shows all the IPTC tag types of the selected file(s).

  • Replace existing keyphrase:

    • Type the keyphrase you wish to replace in the “Key phrase to replace” field. Be sure to type it exactly as it is. This is cAse sEnsItiVe.

    • Type the new keyphrase into the “New key phrase” field.

    • Tap the “Refresh Keyphrase(s) button.

  • Add a new keyphrase:

    • Do as above (replacement), but leave the “Keyphrase to replace” field empty.

  • Delete an existing keyphrase:

    • Do as above (replacement), but leave the “New keyphrase” field empty.

  • Remove IPTC tag field:

    • Type IPTC tag identifier exactly as it appears into the “Remove IPTC field” field.

    • Tap the “Remove IPTC Tag Field” button.

Version

For the current version number, see VERSION.rst

Roadmap

• Add ability to add and edit additional IPTC tag types

• Add support for additional types of metadata