How to Effortlessly Replace Objects in Photos With Pixelcut’s AI Image Replacer

How to Use Pixelcut AI to Replace Objects & Remove Backgrounds

Discover how Pixelcut AI performs in object replacement and background removal. We tested it on portraits and product shots to see the results.

AI | Software | By India Mantle | Last Updated: November 17, 2025

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Typically, when you’re working with many images, there’s bound to be one that doesn’t quite make the cut.

And yet, you might want to reuse a part of the image, such as a specific object that has mysteriously not been shot from that angle in any other.

Or, you might have images that have a bit too much going on in them and need to be streamlined.

In either of these scenarios, image replacement or erasing is the way to go. But traditional editing software doesn’t always handle context-aware filling well.

That is, unless you want to shell out the cost of maintaining an Adobe Photoshop subscription.

To achieve a “reasonable” result, I and many other editors have turned to AI. Sure, it doesn’t do a perfect job, but it will take only a few minutes of your time compared to hours of personally editing a collection of photos.

In this guide, I’ll go through Pixelcut AI’s image replacement and editing capabilities to showcase what its strongest points are and how you might want to use it.

Getting Started With Pixelcut AI

Pixelcut has become famous among AI photo editing tools thanks to its two-platform approach to editing.

This might not sound so special until you realize that most professional editing tools like Photoshop only work on PC. Even the “lighter” option of Photoshop for iPhone doesn’t come with all the features, and the Android option is in beta testing.

Similarly, many other AI apps work only as dedicated apps or in the browser. But Pixelcut has both options, allowing you to do simple on-the-fly edits when taking photos or delve deeper when you need batch processing on the PC.

What I really liked about the tool when I first logged in was how clean the UI looks.

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While you have more options and dedicated AI templates, the chat feature alone should be simple enough to get you started.

It lets you upload an image and ask the AI to alter it however you want. There’s also a fully-realized AI generation section that you can try out if you need more content.

However, for a bit more control, I’ve used the “Workspace” tab and selected an image from my gallery.

The “AI editor” option in the top-right provides exact details on the type of AI used for the modification. Pixelcut uses several AI models, including Gemini 2.5 Flash, otherwise known as “Nano Banana,” which is huge.

Gemini 2.5 is currently near the top of the AI image generator list, with excellent context recognition and image editing capabilities based on textual descriptions alone.

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Speaking of the mobile version, the app is even easier to use, as it doesn’t specifically require you to create an account. However, this will also keep it from saving any progress on projects, meaning you can’t go back and re-edit them.

So let’s dive into what the tool can do.

Feature Review

While they might look hidden, all of Pixelcut’s features can be accessed via the profile icon on the PC or from the app home screen.

Background Remover/Editor

Removing backgrounds or changing them is likely going to be the bulk of the editing work for product photography or portraits.

I’ve decided to first test the “Remove BG” feature with a slightly more complex image that contains multiple objects and a “composite” foreground and background, just to see which parts of them can be modified or removed.

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The result is… a bit less than promising if you want complex edits.

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As you can see, the tool doesn’t really recognize what is a background and what isn’t, focusing instead on the main object it can see and removing everything around it, or at least trying to.

The basic AI editor does try to provide more options, such as injecting a new background or changing its color, but the crux of the problem remains.

What you seem to be limited to here is using images where the subject is clearly delineated from the background, so it can be isolated and changed.

So, I’ve used a slightly “simpler” example.

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This time, the result is much more impressive, as the tool has also been able to remove the part of the background between the man’s hand and face. For reference, this would be time-consuming to select manually.

I’ve changed the background to a solid color so you can see how it compares to the original.

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As you can see, Pixelcut has done an admirable job of removing the background.

In fact, I’m particularly impressed by how many details are still in the photo, such as the subject’s hair and even beard.

However, it’s when you try to change the background to something else that the AI can get a bit “lost.”

The tool provides a set of templates and stock backgrounds to use, but selecting one directly inputs the AI’s “understanding” of the image in the provided editing box.

From there on, the tool has been unable to really refine the background to the same level of detail as suggested. Instead, it keeps spewing out blurred backgrounds.

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Trying to edit the text box itself doesn’t seem to make much of a difference.

One of the ways to get around this is to stick to the simple stock backgrounds or use the “Image Background” selector to upload an image.

Somewhat annoyingly, the UI for the selector cuts off at the top, so I needed to retry it a few times. But once I got it working, the results could be decent.

For example, here’s what I got with a “colorful” template.

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As far as options are concerned, most of the “advanced” ones are locked behind the tool’s Premium subscription (which I’ll discuss later).

Object Eraser

With the limits on how the tool can process backgrounds, what you might want to do is remove specific objects beforehand to make it a bit easier.

Pixelcut’s Object Eraser (called “Magic Eraser”) does just that. (And it works well enough to make our list of the best AI object removers.)

When you first use the tool, you’ll be prompted to choose an image to upload (or use one of the stock options if you just want to try it out). So I’ll use similar samples to before to display what you can accomplish.

First, let’s go with the less complex option and try to remove objects that aren’t as attached to the rest of the image.

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The brush tool you use to select the object you want to remove is a bit finicky. The UI allows you to scale down the brush and zoom into the image to make it a bit easier.

However, the bigger problem here is input lag, which seems to appear on larger images. If you want to mitigate it, use relatively small images with a lower resolution.

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Once that’s done, I have options to Erase or Generate.

Erasing the apples is a straightforward affair, and here I want to point out the differences between the two erased sections.

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As you can see, removing an object from a blank background (or one that is simply made from a single color or gradient) is no problem for the tool.

However, as soon as you have an object that’s touching the subject and that needs to be contextually filled in after removal, you get into a few problems.

If you zoom into the resulting image, the fingers and the clothes are really blurry and undefined.

This can be solved partially by adjusting the brush to cover as little outside of the object as possible. But even then, you might end up with an artifact in the background.

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What is a bit irksome is that the “Generate” function can be really off if you’re not using the Premium plan.

I tried to replace the apples in the sample image with oranges, which should be a fairly simple substitution given that they are similarly shaped.

However, I only got one orange in the end, which was conspicuously circle-shaped. The other apple was missing.

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I used the Regenerate option and got two apples, so the AI might need more than one attempt to get things right.

One thing I noticed is that trying to be more detailed in the textbox only confused the AI more. In some cases, putting what I want to change about an object has created differently shaped results.

For example, one attempt to change an apple into a banana completely failed.

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I had to go back into the previous image and use the Brush Selection tool. Luckily, there’s an “Undo” or “Redo” option on the top-right, which cycles through generated images.

However, even then, I needed to adjust the brush to accommodate slightly different shapes.

It then took about five tries before I got a singular banana, and two more to get the second.

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But after that, the actual quality of the image is decent. Both bananas look at least a bit photorealistic, and we’re working with something notoriously difficult for AI to get right.

When testing with slightly easier objects that have similar shapes, sizes, or colors, the results are similar.

You might need to make a few attempts, but you’ll get an image that’s somewhat decent at the end of it all.

What you will want to do is apply the background removal after the Magic Eraser, though.

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This is because while the two tools work somewhat differently, the background checker is much more accurate when not constrained with the brush.

In my example, notice how the background for the bananas was a flat grey instead of the studio-level gradient. With the background changer, you can then adjust the background to get a good result.

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Image Expander

One of the more unusual examples of where the AI tool can work wonders is to expand images.

I first tested it with the image of the man juggling apples, trying to give him legs.

To my surprise, the AI was able to create an image where the proportions look right at first glance.

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However, if you go a bit in-depth, you’ll notice that the image loses quality sharply in the generated parts, and that some sections are a bit off.

I’ve decided to use a slightly simpler image, crop it off, and then regenerate the remainder.

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This is just one of the attempts where I got stalks (and notice that this one only has four stalks against five flowers due to the crop).

In some attempts, you can get a table and even place some objects on it, which is nice, but you might need to retry a lot to get the exact details you need.

Additionally, there doesn’t seem to be an option to guide the AI toward how you want to restore the cropped image or expand it, at least on the free version of the tool.

Image Upscaling

This one is fairly self-explanatory.

The AI can take lower-resolution photos (usually from a phone camera) and upscale them for better viewing or editing.

The process here is pretty simple: you choose the output resolution and generate the result.

The only option you might want is “Fast Upscale,” which simply doubles or quadruples the resolution.

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The AI also comes with a nifty “Compare” tool to show you exactly how it changed the image. In the upscaler’s case, you’ll be able to notice a bit more detail on the edges.

Pre-Set Templates

Beyond image manipulation, Pixelcut can also be good for product photography.

In the “Templates” section, you’ll be able to find photoshoot options for backgrounds, podiums, and backdrops. This can be useful if you want to play around with modifying the background of your items.

Even if you take a photo of an item with your camera, you can add it to a podium to make it align with the rest of your product catalogue.

Here’s an example of a simple gift card being “fitted” for a background. I was able to remove the original background, upscale the image, and add shadows and light corrections from the editor.

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Additionally, there are sections to modify the image to fit specific social media requirements of sites such as Instagram, Facebook Marketplace, or TikTok.

However, the editor starts lagging the more you use it. Some edits can take a while to complete if you need a lot of them, so keep that in mind.

Premium Options

I was able to use the app for free and test out the AI regeneration throughout the edits above. However, with the free account, Pixelcut allows for three uses per day with the advanced generative tools.

This leaves you with the option of waiting until the next day for more changes or purchasing a subscription.

That said, the Pro plan costs US$10 per month, which should be enough to test out the tool extensively. Pro Plus and Max are US$30 and US$60, respectively.

At base, Premium removes some of the restrictions on how often you can use the AI, your ability to save your work, or to upscale and regenerate specific objects.

Additionally, Premium adds the ability to actually use the Gemini 2.5 to its fullest, with the AI editor accepting more nuanced text descriptions and suggestions.

The Premium option also comes with more templates specifically for product photography and editing.

These include mockups, generated human models for clothing and accessories, and a more diverse range of backgrounds and backdrops.

In general, if you actually need many images processed quickly, all in a similar style, I’d suggest trying out the Premium version for at least a month.

However, the upper tiers of the tool can be a bit too costly, considering you only get more “credits” to use the AI and more samples to pick from.

Who Should Use Pixelcut?

In the end, using the tool is surprisingly easy, especially on the PC.

For mobile, I was able to get decent results, but the app sometimes failed to load properly or lost connection, which meant I needed more attempts to correct things.

The app also doesn’t fully explain which sections are Premium-locked. Instead, I sometimes got a generic connection error.

Overall, the tool can be great for marketers or small business owners who need product images to fit a certain style and quality without resorting to high-grade studio equipment and photographers.

As mentioned in the first segment, the AI also only works with images that are clear and have a noticeable subject-background separation.

More complex images will require the tools to take a great deal of time and retries.

So if you’re a pro photographer, you might only be able to get minimal results, even if they are quick.

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