Finding the Photo You Half Remember in a 60,000-Shot Archive
Picture a commercial photographer twelve years into the job. About 60,000 keepers on the drives, after the culling. A client calls and asks for the shot of the red chairs on the stage from one of their events. Or something like it. Wider, if she has one.
She can see the picture in her head. She can’t say which event it was. And her keywords from those years are patchy, because nobody keywords properly at 1 a.m. after a ten-hour conference day.
Every working photographer knows this call. The archive is supposed to be the asset you keep selling from, and it only pays if you can find things in it.
Keywords Were Never Going to Save Us
The old advice was to keyword everything. Most of us tried for a while, then gave up somewhere around the third busy season. Even good keywords miss the point. You tagged it “conference, stage, keynote.” The client remembers red chairs. The words you typed back then and the words someone uses now rarely match.
What you actually remember is how the picture looked. The colour, the layout, the feel of the room.
Searching by What a Picture Looks Like
That’s the kind of memory newer image search is built for. You type a plain description, “red chairs on a stage”, and the software finds pictures that look like that description, whether or not anyone ever tagged them. It looks at the pictures themselves.
In our photographer’s case the first search turns up the right event and the right chairs. Framed too tight, though. Close, not done.
So she flips it around. She takes that near-miss and asks for more pictures that look like it. Same client only, four and five stars only. Now the photo is doing the searching instead of her words, and the wider frames from the same set come back with it. If she wants to know where else she’s shot something similar, for any client, the same photo works on the whole archive.
The full walkthrough, with the setup behind it, is on HyperCrux, where this example comes from.
Your Star Ratings Matter More Than Ever
Here’s the bit I like. The software is good at what’s in a picture and what colour it is. It’s bad at the things that make a frame a keeper: exact framing, the better expression out of two near-identical shots, the moment the speaker’s hand came up.
That stays your call. And your star ratings are where that call lives. Every time you hit four or five stars in Lightroom you’re writing down your own judgement, and a good search uses both: the machine’s sense of what a picture looks like, and your sense of whether it’s any good.
Ratings you were lazy about cost you twice now.
What to Do With Your Own Archive Today
None of this needs you to start over. A few habits make an archive ready for it:
Rate as you cull, every shoot, even quickly. A rough one to five beats nothing.
Keep shoots tied to clients. A folder or collection per job, named after the client, is enough structure for “only this client’s pictures” to work.
Keep the catalog. Lightroom Classic’s catalog already holds capture dates, camera, lens and your ratings. That’s most of what any search tool will want.
Leave the files where they are. Good tools index your pictures in place and run on your own machine, so twelve years of client work never has to leave the studio.
The next time a client says “you know the one”, you’ll have a better answer than scrolling.