If you’ve ever been handed a flattened image — a JPEG or PNG where everything is merged into a single file — and needed to make changes to it, you know how frustrating that situation is. Rebuilding the design from scratch is time-consuming, and most editing tools don’t give you a way back inside a flat file.
Magic Layers is Canva’s AI-powered answer to that problem. It processes a flat image and automatically separates it into individual editable layers, so you can move, recolour, or replace elements without starting over. This tutorial covers how to use it, what kinds of images it works best with, and what to keep in mind so you go in with realistic expectations.
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Transcript
If you’ve ever received a flattened image — a JPEG or PNG where everything is merged into a single file with no editable layers — and wished you could get back inside it and make changes, Magic Layers is built for exactly that situation.
It’s a new AI feature from Canva that takes a flat image and automatically separates it into individual editable layers, so you can move, resize, recolour, or replace each element independently — without having to rebuild the design from scratch.
How Magic Layers Differs from Magic Grab
If you’ve used Magic Grab before, Magic Layers will feel familiar, but the two tools work differently in an important way.
Magic Grab lets you select and extract a single subject from an image. You’re pulling one element out at a time — a person, an object, a logo — and separating it from the rest of the image.
Magic Layers processes the entire image at once. Rather than isolating one element, it separates everything simultaneously, breaking a flat image into all of its component layers in a single step.
How to Use Magic Layers
To access Magic Layers, look for the Magic Layers icon on the Canva homepage, or you’ll also find it under the image editing options within the Canva design editor.
Choose an image from your uploads, or upload a new one.
Magic Layers works with single-page JPEG and PNG files only, so if you have a PDF, a multi-page design, or any other file format, you’ll need to export or convert it to a JPEG or PNG first before Magic Layers can process it.
Once you’ve selected your image, Canva will process it using AI and automatically separate the components into individual layers.
Once Magic Layers has processed your image, you’ll see your design with all the separated components on the canvas. To navigate and work with the individual layers, click on any element in the design, then click Position in the top toolbar. In the panel that opens on the left, you’ll see two tabs — Arrange and Layers.
Go to the Layers tab. From there you’ll see each layer that Magic Layers has identified listed separately. Clicking on any layer in that panel selects it on the canvas, so you can then move, resize, recolour, or replace it independently from the rest of the design.
A Few Things Worth Knowing
Before I wrap up, there are a couple of things worth knowing before you try this on your own images.
The quality of the layer separation depends heavily on the complexity of the image.
A graphic with a few distinct components, with a background photo and a couple of text elements — tends to separate fairly cleanly. That’s where Magic Layers works well.
But when I tried it on one of my own video title images — which has multiple layered components, overlapping elements, and more visual complexity — the results were not clean. Images came out pixelated, elements didn’t separate the way I expected, and the overall quality degraded noticeably.
So going in with realistic expectations matters here. Simple, flat images with clearly defined elements are a reasonable use case. Complex designs with lots of overlapping components are likely to disappoint — and in those situations, rebuilding from scratch may still be the faster path.
It’s also worth remembering that this is a beta feature, which means the experience will likely shift as Canva refines it. If something doesn’t work exactly as described here, it’s worth checking whether the feature has been updated since this tutorial was recorded.
