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Creating photos is only half the work of a photographer – the other half is describing, cataloging, and preparing them for publication or sale. For many photographers, especially those contributing to microstock platforms like Getty Images, Shutterstock, or Adobe Stock, tagging and filling in metadata is time-consuming and tedious.
This is why Photo AI Tagger was created – a tool that automates metadata, titles, descriptions, and keyword generation using artificial intelligence. The goal was to develop a simple, fast, and affordable solution that allows photographers to:
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Save time – automatically generate IPTC metadata for single images or entire collections.
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Improve image visibility – well-chosen keywords and descriptions increase the chances of being found on Google Images and microstock platforms.
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Assist professionals and amateurs – integration with software like Adobe Lightroom or Photoshop ensures metadata stays consistent and compatible.
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Standardize the publishing process – all photos have complete documentation, simplifying sales, archiving, and collaboration.
Photo AI Tagger was created to provide practical support for photographers, eliminating repetitive tasks and allowing them to focus on what matters most – photography itself.
