We Built Culr Because Gemini Photos Cleaner Wasn't Enough
Last year, a wedding photographer emailed us. She'd been using a well-known cleaning app for three years. One afternoon, it deleted 47 photos from her camera roll without warning, claimed they were duplicates, and by the time she realised what had happened, they'd synced out of iCloud. That's when she found us. She told us later: 'I just want an app that lets me decide what goes. Not an app that decides for me.' That single message shaped everything we've built into Culr.
The swipe-and-decide moment
Most camera roll cleaners work backwards. They scan your library, flag what they think is junk, and ask you to confirm the deletion in bulk. By the time you're clicking 'Delete 200 Items', you've lost agency. You're trusting a black box.
Culr inverts that. You swipe. You decide. Keep or delete, one photo at a time, or group by group. Undo is always a tap away. We spent months getting the haptic feedback right because the moment you swipe should feel decisive, not anxious. When we launched on iOS, that single interaction became our north star. Users told us it felt less like cleaning and more like actually curating their own library. That matters more than we expected.
The moment you open Culr, you're in control. That's not marketing language. That's the entire product philosophy.
Duplicates and trust
Here's something most cleaning apps won't say out loud: duplicate detection is imperfect. Even the best computer vision gets confused by nearly identical shots, edited versions, and screenshots of photos. So we didn't hide that limitation behind 'smart AI' language.
In the free version, you get 50 duplicate deletions a month. That's intentional. It's a cooling-off period. You delete a few, see if we've got it right, and decide whether you trust us enough to unlock unlimited deletions in Plus. Some users stay on free forever. That's fine. We'd rather lose the upgrade than have someone wake up one morning and realise we've deleted their only copy of something irreplaceable.
Before every single deletion, Culr checks iCloud status. If a photo hasn't synced yet, we stop you. That decision cost us engineering time and battery cycles, but it's saved customers from genuine loss. One user in Fife told us it caught a burst sequence she'd shot but hadn't uploaded. She'd have lost those moments.
The WhatsApp and Telegram problem
In the UK, WhatsApp media is a crisis in most people's camera rolls. Hundreds of forwarded images, stickers, screenshots of memes you'll never look at again, all taking up space. Most generic cleaners treat these as regular photos. Some don't touch them at all.
We built WhatsApp detection and bulk-delete into the free version because we wanted it to work for everyone, not just paid users. You can see which photos came from WhatsApp, group them, and delete them in one action. No subscription gate. Telegram works similarly. It's a small feature, but on a Tuesday morning when someone's phone is nearly full and they just want their storage back, it's the feature that matters.
For people with thousands of photos (and photographers who use them)
Culr is built for libraries that have crossed a threshold. 5,000 photos. 10,000. 25,000. At that scale, a generic 'scan and suggest' approach falls apart. You need structure.
Screenshot cleanup works because it's simple. Blur detection (via CIEdges sharpness scoring) works because it targets a specific problem. Similar photo grouping uses Vision clustering to show you near-identical shots so you can keep the sharpest one. Burst ranking highlights the keeper in a sequence of rapid-fire frames. These aren't generic; they're built for the specific geometry of modern camera rolls.
We added Photographer Mode in Pro because event and wedding shooters told us their workflow was broken. They shoot in clusters, sometimes dozens across a few hours. Photographer Mode groups by 2-hour gaps, so you cull one shoot at a time with a familiar swipe interface. One photographer said it saved her 40 minutes per event. That's meaningful money.
What we don't do (and why that matters)
You won't see a red warning banner telling you 'YOUR PHONE IS IN DANGER'. You won't be offered a weekly subscription plan that tries to lock you in. You won't find tracking SDKs buried in the code. Everything happens on your device. We can't see your photos. We don't need to.
We also didn't chase every trend. Culr doesn't back up to the cloud. It doesn't find people you've forgotten about. It doesn't sort photos into folders or create memories. It does one thing well: help you cull. If you need cloud backup, you're already using iCloud. If you want curated memories, Photos on iOS does that. We're the app that makes space.
That focus, we've learned, is what separates trust from feature creep.
The storage dashboard and scheduled cleaning
Pro users get a storage analytics dashboard. Real numbers. A 14-day chart of freed bytes. A breakdown of your library by size and type. When you're trying to reclaim gigabytes, you need to see what you're actually removing, not just feel good about it.
Scheduled auto-clean means you can set it to run daily, weekly, or monthly based on your preferences. It learns your cull rhythm. It's not aggressive; it's supportive. You still control what disappears.
These aren't flashy features. They're the opposite. But they're why photographers and power users stay.
The question isn't whether Culr has more features than Gemini Photos Cleaner. It's whether you trust the app you're giving access to your memories. Do you feel in control, or are you hoping the algorithm knows better?