Why I Created AI Image Fix

I manipulate images almost every day, both for work and for personal use. Sometimes it is a simple crop or brightness adjustment. Other times I need to remove something from a photograph, clean up a background, enlarge an image or make a subject stand out more clearly.

AI Image Fix started with a very specific itch: I wanted something like Google’s Magic Eraser, but running locally on my Windows PC.

I did not want to upload images to a phone. I did not want to rely on a cloud service. I did not want another login, another subscription or another tool that worked only when the service behind it was available. I just wanted to open a photograph on my PC, remove something from it, and save the result.

The Problem with Existing Tools

I tried a number of existing solutions, but kept running into the same problems.

Some did not work very well. Some were fragile to install. Some were too complex to use, even for a technical person, because they required too many AI parameters to be set before you could get a useful result. Others used the cloud, required an account or depended on external services.

A common problem was that they eventually broke. Dependencies changed. Downloaded models changed. Installation steps stopped matching the current versions of the tools they relied on. Something that worked one month could fail the next.

I wanted a turnkey solution that just worked.

Starting with Object Removal

The first goal was simple: detect something in a photograph, erase it, and fill in the background locally on the PC. That became the foundation of AI Image Fix. It was not intended to be an AI art generator or a tool for creating fantasy images from text prompts. It was about fixing photographs.

Expanding the Idea

Once the basic object removal idea was working, it made sense to add other AI-assisted image repair tools. Moving objects was a natural next step. If you can detect and remove something, you can also place it somewhere else, resize it and repair the area it came from.

Upscaling was another useful addition. Traditional resizing can make images look soft or blocky, so AI upscaling made sense as a way to enlarge photographs more smoothly.

Depth of field blur also fitted the same purpose. By using AI depth estimation, the application can blur foreground and background areas to help isolate a subject, creating a more camera-like focus effect.

Adding Everyday Editing Tools

I also realised that AI features alone were not enough.

When working on images, I often need ordinary editing tools as well: crop, rotate, resize, brightness, contrast and other small adjustments. Without those, I would keep having to leave the application, open another editor, make a basic change, then come back again.

That felt wrong, so I added everyday non-AI tools too.

AI Image Fix includes practical editing features such as cropping, resizing, canvas changes, brightness, contrast, colour adjustments, sharpening, flipping, denoising and removing image data such as EXIF information.