ScreenshotEdits
Screenshots that actually look good
This page is the product layer. The articles below are the context layer: why I built it, what I learned, and how the product fits into the broader system on nielskaspers.com.
About the project
Every developer, designer, and content creator takes screenshots. But raw screenshots look terrible—gray backgrounds, harsh edges, no visual appeal. You end up pasting ugly images into docs, tweets, and presentations.
ScreenshotEdits fixes this in seconds. Paste any screenshot, pick a gradient background, adjust shadows and corners, and copy the result. That's it. No Figma, no Photoshop, no fiddling with export settings.
Built as a native SwiftUI app, it's fast, lightweight, and works entirely offline. The free version does everything you need. Pay €19 once to remove the small watermark and support development.
Key features
12 gradient backgrounds
Handpicked gradients, solid colors, or transparent. Click once to apply.
Shadows & rounded corners
Configurable drop shadows and corner radius to give your screenshots depth.
Content-aware remove
Erase text, watermarks, or distractions. The gap fills automatically.
Built-in capture
Capture regions or windows directly from the app. No switching tools.
Related articles
These pieces explain the build decisions, systems, and lessons behind ScreenshotEdits.
How I use Claude Code to build products as a PM
A non-engineer PM's guide to shipping real products with Claude Code—from iOS apps to automation systems.
Why small teams beat big teams (with receipts)
The systems thinking approach that let us ship 2 full flows per week with minimal resources.
I built a skill to make AI stop generating boring designs
How I collected patterns from hundreds of prototypes to teach AI coding tools what makes designs feel generic—and how to avoid it.
What ScreenshotEdits is teaching me about workflow-first product design
ScreenshotEdits keeps reinforcing one product lesson: narrow workflow pain, visible before-after value, and clear proof beat another broad AI feature pile.