How you can use regexes to make search more powerful and reduce the number of irrelevant entries it returns.
search
Searching the text content of PDF documents often doesn’t work well, sometimes not at all. And recovering what you can see is text can also fail miserably.
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?
Text can be searched by eavesdroppers and crawlers to discover its content and extract it for other purposes. How to make their task more difficult using Unicode.
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.
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.