Two directions into a layer stack

Start before the image—or start after it is flat.

LayerAxon and ImgToLayers can both end with editable raster layers, but the pixels arrive by different routes. LayerAxon generates a new image as independent parts. ImgToLayers interprets the visible parts of an image that already exists.

Generation path

LayerAxon

1. Direct: describe a scene or supply a guiding reference.
2. Plan: name the meaningful visual parts that should remain editable.
3. Generate: create those layers independently and assemble the layered file.

Separation path

ImgToLayers

1. Upload: provide an existing flat PNG, JPG, or WebP.
2. Interpret: separate visible subjects, objects, and background into named raster layers.
3. Export: download a layered PSD, individual PNG layers, or ZIP.

Generate a new stack Read the technical distinction

The source of truth is different

With separation, the flat image is the evidence. The model decides which visible pixels belong together and creates plausible content for areas that were hidden. With generation, the brief is the intent. The model creates new visual material for each planned role.

That distinction changes how to judge errors. A separated object is measured against the uploaded picture. A generated object is measured against the brief, the composition, and the consistency of the newly created stack.

Choose from the asset you possess

Three scenarios, three clear decisions

You only have a final JPG

Separate what is visible

ImgToLayers matches the task when that exact bitmap must become movable subjects, objects, and background. Expect interpretation, especially at overlaps and hidden regions.

You have an idea, not an image

Generate the parts directly

LayerAxon matches the task when the scene is new and the brief can define subject, environment, props, effects, or other useful layers before pixels exist.

You have a visual reference

Decide whether it is evidence or guidance

Separate it when the source itself must survive the edit. Use it as LayerAxon guidance when you need a new interpretation with independently generated parts.

ImgToLayers strengths and limits

A direct route from an existing bitmap

Its official workflow accepts PNG, JPG, and WebP, separates visible content into named raster layers, reconstructs hidden background areas, and offers PSD, PNG, and ZIP downloads. The featured image-to-PSD path lists up to 10 layers.

The resulting stack is newly interpreted. It cannot restore source fonts, vectors, smart objects, masks, or edit history that are absent from a flattened image.

LayerAxon strengths and limits

A direct route from a structured idea

LayerAxon lets the creator define the editable roles before generation. The visual parts are created independently, then assembled into a layered PSD for further editing.

It is not designed to reproduce the exact layer structure of an existing flat image. A reference guides a new output; generated boundaries, coverage, details, and consistency still require review.

Shared quality gate

Inspect what the AI had to invent

Generation invents the scene; separation invents interpretations and hidden pixels. Neither route makes review optional.

Edges

Check whether each subject or generated part carries neighboring fragments or loses necessary detail.

Hidden areas

Anything newly visible behind a moved object is generated or reconstructed—not recovered evidence of what was originally there.

Layer purpose

Every layer should map to a real edit. More fragments do not automatically create a more useful file.

Composite

Toggle layers and confirm the complete stack still reads as one coherent image before handoff.

LayerAxon and ImgToLayers questions

What is the central difference between LayerAxon and ImgToLayers?

ImgToLayers starts with a finished flat image and separates interpreted subjects, objects, and background into new raster layers. LayerAxon starts with a prompt or reference-guided brief and generates the visual layers independently before assembling the file.

Can either product recover an original PSD from a JPG?

No tool can recover source data that is absent from the flattened image. ImgToLayers can create a new interpreted layer stack and reconstruct hidden areas, but that is not the original document's fonts, vectors, masks, smart objects, or edit history. LayerAxon generates a new result rather than attempting recovery.

Which workflow is better for an existing client image?

If the client image itself must be decomposed for a new edit, the ImgToLayers starting point is aligned with that job. If the image is only creative guidance and the goal is a newly generated layered composition, LayerAxon's reference-guided workflow is the relevant route.

Fact-check boundary: ImgToLayers details were checked against its official product page. Limits, formats, pricing, and processing behavior can change; verify the current product before choosing.

Your image does not exist yet?

Define the editable parts before generation begins.

Generate from text

Need broader context? Read layer generation versus separation.