Does macOS use Live Text to extract and index recognisable text in images? Is that a good or bad thing if it did? What about PDFs?
Spotlight
The most accessible of any metadata in the Finder and apps, Finder tags can be ideal for classifying files and folders into no more than 7 categories. Here’s how they work.
Version 1.3 adds drag and drop onto a document window, and a Scratchpad to store keywords that you use often. For 10.14.6 and later.
Second beta adds support for all metadata keys, has an extensive Help book, and saves results in a text file. Discover the keywords you can search for.
Does Sonoma analyse and classify your images? What content does it obtain from them? How to discover what search terms it recognises? And could this be used to detect CSAM?
Automated image analysis and other tools store keywords in many different types of files. To search effectively for keywords, though, you need to know which terms have been used.
It can take many hours for files to be downloaded from iCloud. Apps must be able to cope with that, but how well does macOS?
Why doesn’t Spotlight seem able to return search results for files stored in iCloud Drive? And a strange feature discovered in extended attributes.
Immediate actions to get the best result from your search, and how to tackle even the most deep-seated of Spotlight problems.
Finder Comments are accessible, easy to use, and unreliable because they rely primarily on data stored in a hidden file. Regular Comment extended attributes are more reliable.
