Why object removal mattered more than we expected
Three weeks before Cleanr launched, a user testing the beta sent a single message: 'I just spent 45 minutes in Photoshop trying to remove a water bottle from the corner of a photo for Instagram. Why isn't there an app that just does this?' That question sat with me. We'd planned object removal as a nice-to-have. It became non-negotiable.
The problem nobody talks about
When you scroll through a feed of photos from faith creators, small business owners, or just anyone trying to make their phone photos look professional, you notice something. The moment a stray object lands in frame, everything changes. A water bottle at the edge of a landscape shot. A stranger's arm in what should've been a portrait. A parked car behind a product photo meant for Etsy.
Most people don't have Photoshop. Most don't want to learn it. So they either live with the object, bin the photo, or spend two hours chasing a solution across multiple apps.
I realised we'd been thinking about Cleanr wrong. We built it as a photo enhancement suite. But what users really wanted was a cleanup tool. A single place where the messy parts of a photo, literal and figurative, could be fixed in seconds.
Content-aware, but actually usable
Object removal sounds simple until you try to build it. There's research from Apple's computer vision team on PatchMatch algorithms. There's the complexity of knowing when to use intelligent inpainting versus texture synthesis. There's the UI question: do you make users paint over the object, or do you do the work for them?
We chose PatchMatch because it's fast enough to feel instant on a phone, and accurate enough that you don't spend five minutes refining the mask. You point at what you want gone. Within a second, Cleanr has studied the surrounding pixels, understood the texture and tone, and filled the space. It's not perfect every time, but it works on 9 out of 10 photos without a second thought.
The decision cost us. It meant abandoning more 'advanced' approaches in favour of one that was practical. But practical was the point. A faith creator with 20 minutes to make a social post doesn't need a masterclass in inpainting theory. They need the bottle gone so they can upload.
When a feature reveals what your app is really for
Once object removal went live, usage patterns shifted. We'd expected people to use it maybe once a week. Instead, it became the second most-used feature after auto-enhance, sometimes the first. People weren't just cleaning up flaws anymore. They were reclaiming photos they'd written off. They were taking photos with more confidence, knowing that if something landed in frame, it could be fixed in seconds without leaving the app.
More importantly, feedback told us that object removal wasn't a feature. It was proof we understood the problem. One user wrote: 'I've used six photo editors. None of them expected me to actually use object removal.' That stuck with me because it meant most apps treat cleanup tools as checkboxes. Cleanr treats it as something you'd actually want to use every week.
It changed how we thought about the entire product. We began asking not 'what tools do creators need?' but 'what do creators actually do with their photos?' The answer wasn't just enhancement. It was restoration, repair, and simplification.
The feature that justified the whole app
Building object removal forced us to make a choice about what Cleanr fundamentally was. Did we want to be one of 50 generic photo editors with a dozen half-finished features? Or did we want to be the app that did the things you actually needed, and did them well enough that you didn't need five apps running on your phone?
Object removal became the answer to that question. Because removing an object isn't about creativity or artistic expression. It's about practicality. It's about getting the shot you want without hiring a designer or mastering complex software. That's Cleanr's entire premise.
Free tier users get three object removals a day. That's enough to fix the photos that matter. Plus and Pro members get unlimited. Commercial licence holders, the people selling products on Shopify or Etsy, get the pro-quality inpainting that handles trickier edges and textures. Everyone else gets something that just works.
What it taught us about building for real people
Object removal was the feature that taught us not to assume what users want. We thought people wanted presets and effects. Turns out they wanted reliability and speed. They wanted to feel like the app understood their workflow, not their artistic vision.
That's shaped every decision since. Why did we build batch processing? Because someone processing 10 product photos for their shop shouldn't have to repeat the same steps manually. Why did we include an EXIF stripper? Because people care about their privacy. Why does Faith Mode exist? Because we listened to creators who wanted warmth and meaning in their tools, not just filters.
Object removal is, technically, one feature among 22. But it's the feature that made Cleanr matter to the people who needed it most.
When was the last time a photo app made you feel like it was built for how you actually work, rather than how designers thought you should work?