[Rueben Derrick]

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Like what Google Photos and other companies do by using AI to recognise people, objects and main colours within an image.
It would be very exciting to run all auto-linked and rendered previews through some sort of AI. Once the AI has generated suggested tags for the preview images, they are nested into a (for approval) root tag.

What I find these days is my collection of assets is so large I don’t know where anything is and I’ll only tag/categorize what is relevant to me.
This feature would also help locate old junk because it’s one thing the tag all ‘chairs’ its another thing when 80% of then are rubbish. I want to find and remove rubbish without much manual effort.

[latvanytervseta]

This will become increasingly relevant as AIs are now very effective at tagging. They can even recognize components within an asset, such as a bedspread, pillow, book, lamp, wall art, etc.

[latvanytervseta]

…but it would also be enough if the tag cloud could be loaded as a category for the assets, which we store in txt format for each asset in the assets folder, like the pre images. Anyone can create these tag clouds stored in txt using AI based on pre-images…