A library of thousands is only useful if you can find one photo in it.
On every plan#
- By album — narrow to one, or to several.
- By date — a range, and either the date taken or the date added.
- By who uploaded it — useful in a shared hub where several people add photos.
- By type — photos or videos.
These combine, so "videos my partner added last summer" is one search rather than a hunt.
On the larger plans: describe what you're looking for#
On 500 GB and above, you can search by describing the picture — "beach", "birthday cake", "snow" — and Keepr finds photos that look like that, without you ever having tagged anything.
The same search also understands places and times in your wording: "in Spain", "last summer", "Christmas". Place comes from what your camera recorded, worked out inside Keepr rather than by sending your coordinates anywhere.
If you're in a Family Hub whose plan clears that line, you get it through the hub even if your own personal plan is smaller.
This is the same 500 GB line that unlocks print-ready originals.
Searching in your own language#
Search works in the languages Keepr supports. Your search words are translated to English before searching, because the image model understands English best.
Your photos aren't translated, moved or sent anywhere, and the translation runs on Keepr's own servers. See How search understands your photos.
What search can and can't reach#
Only photos you already have access to. Search doesn't widen what you can see — it's a faster way through what's already yours or already shared with you.
It also can't find people by face: Keepr doesn't do face recognition. To find photos a particular person took, filter by uploader.
Things worth trying#
- A place you went, if your camera records location — "in Portugal".
- A season or a kind of weather — "snow", "autumn".
- A thing rather than an event: "cake", "boat", "dog".
- Combine a description with a date range to cut a big result down fast.
When you can't find something#
Check the album filter isn't still narrowed from a previous search, and remember that near-identical shots are stacked — a result may be inside a stack rather than missing.
If a photo you expect genuinely isn't there, I can't see photos that should be there goes through the likely reasons.