Upload a photo with several products and let AI separate each product, its props and the background into layers you can move, reuse and export.
Upload a photo containing two or more products. Image to Layers will attempt to identify the individual items and separate them into editable image layers.
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Separate products, not product parts
This workflow keeps each product together, including its packaging details, attached components and visible labels, while separating it from neighboring items.
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Private File Handling
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Transparent PNG Output
Detailed Layers returns each detected element as its own layer on a transparent background.
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For better results
Real example
A finished product photograph is perfect for showing the collection together. But when every product is locked into one image, creating another layout means cutting objects out manually or starting with a new shoot. This is how an existing product bundle was separated.
A single product photograph featuring a tech set (headphones, a phone, a laptop, a smartwatch, earbuds, a camera, a mug and a bag) with styling props and a studio background. Everything starts together in one flattened image.
The individual products, including their boxes, are separated into their own layers, with additional layers for major scene elements such as stone blocks, plants and a book stack.
This example comes from a real AI separation run, not a manually assembled demonstration. The run returned 17 layers, including a background layer. Results depend on image complexity and can differ slightly from the original.
Why this page
You have a great photo of your entire product collection. But what if you want to move one product, feature a different item, or build a new promotional layout?
Upload your product bundle photo and let AI separate individual products, packaging, props and background elements into reusable layers. Spend less time cutting objects out by hand, and more time creating the next version of your product creative.
The problem
You have already spent time arranging your products, finding the right props and getting the lighting right.
Now you need a new banner featuring only three products. Or a social ad with the bestseller in the center. Or a seasonal creative that uses the same products with a different background.
But you only have the final JPG or PNG, not the original Photoshop project. That often means starting over.
Product Bundle Photo to Layers helps you recover more editing flexibility from a finished image by separating individual products and supporting elements.
Use your existing photo to:
One finished photograph can become a starting point for several new creatives.
What you get
Keep each visible product as a separate object wherever the image and the AI separation allow. Move or reuse the item without taking neighboring products with it.
The workflow aims to preserve the product as a complete unit, including caps, lids, labels, attached components and other details that belong to the same item.
Separate major styling elements such as flowers, stones, fabric, stands, accessories and other decorations when they can be identified.
Work with a separate background layer instead of having the whole composition permanently attached to your products. Some previously hidden areas may be reconstructed by the AI and may need cleanup.
Get a more flexible asset structure from the product photography you already own.
How it works
1
Choose a finished ecommerce or studio photograph containing multiple products. You do not need the original editable design file.
2
Image to Layers analyzes the visible scene and attempts to separate products, accessories, props and background elements. Each product is treated as a complete object rather than being split into small packaging parts.
3
Inspect the results, check important details, and use the editing and download tools to keep working with your separated layers.
Why AI
Cutting a single product out of a clean image might be easy. A complete product bundle is different. You may have bottles overlapping boxes, transparent packaging in front of decorative props, products resting on stands and shadows crossing several objects.
Separating these elements by hand can take time, especially if you need more than a simple foreground cutout. Product Bundle Photo to Layers gives you an AI-assisted first pass for separating several scene elements at once.
AI gives you a starting point. You stay in control of the final creative and its quality.
Compare
| Feature | Background removal | Product Bundle Photo to Layers |
|---|---|---|
| Removes the scene background | Yes | Separates background elements |
| Treats a group of products as one foreground | Often | Aims to separate individual products |
| Extracts major styling props separately | Usually not | When identifiable |
| Makes it easier to move one product without another | Limited | Yes, when separated successfully |
| Provides multiple image layers | Usually not | Yes |
| Reconstructs every hidden detail perfectly | No | No |
Use background removal when you want one combined cutout. Use Product Bundle Photo to Layers when you want to work with the individual products inside the photo.
For teams
Have one lifestyle photo showing a full product set? Separate the items to create promotional graphics that feature different combinations.
Prepare individual product elements for secondary listing images, comparison graphics and branded content. Check each marketplace's current image rules before publishing.
Reuse product photography for launch announcements, seasonal promotions, bundle offers and retargeting ads without recreating the entire setup.
Move individual products into new compositions for Instagram posts, paid social campaigns and promotional graphics.
Start with a group photo and build layouts that feature the full collection, selected items or a single hero product.
Received a flattened client photo? Create reusable visual layers to help build new designs without the original layered project.
Complete items
For product photography, the way objects are grouped matters as much as the number of layers. You usually do not want the bottle cap, printed label and body separated unless you are deliberately designing new packaging.
You want the product to remain recognizable and usable as one complete image element. This workflow is guided to keep major product components together while separating neighboring sellable items.
What that means in practice:
The goal is useful editing layers, not simply the largest possible layer count.
Any category
Not every product bundle looks the same. A skincare collection may have glass bottles, metallic caps, cream jars and soft styling props. A technology bundle may include headphones, screens, cases and reflective materials.
The workflow is designed to recognize objects across different product categories rather than relying on a fixed list of items.
Suitable images to try:
We have tested the separation workflow on skincare and electronics scenes. Other categories may behave differently, particularly with reflective, translucent or closely overlapping objects.
New layouts
Imagine you have a photo featuring six skincare products. Today you want a collection launch banner. Tomorrow, a sunscreen promotion. Next week, a gift-set creative.
Instead of rebuilding the whole image from scratch, start from separated visual elements and create new compositions in your preferred editing workflow.
Layout ideas:
Your existing product photography becomes more flexible when individual items are not locked together.
Packaging details
Packaging is part of your product identity. A slightly different label, misplaced cap or altered logo can make a product image unsuitable for a commercial campaign.
The separation workflow aims to keep original shapes, packaging text, logos, colors and material appearance as faithfully as possible. However, AI image separation can modify details while reconstructing layers.
Before publishing, check:
Review important product details against your original image before using the result in customer-facing advertising.
Busy scenes
Product photography often uses overlapping objects to make a scene look natural. A bottle may sit behind another product, a decoration may cross part of the packaging, a jar may rest on a display stand.
AI separation can help identify these objects, but hidden regions must be estimated when they were not visible in the original photo.
What to expect:
For the best result, start with a clear image and inspect the layers before final use.
Tips
Products with visible boundaries are generally easier to identify than products blurred into their surroundings.
If a label is completely hidden, the AI cannot recover the original text with certainty.
Scenes with many small objects can reach the model's practical output-layer limit. Some elements may be grouped or omitted.
A small amount of separation between neighboring products can make object boundaries easier to recognize.
Glass, polished metal and translucent packaging may change subtly after separation.
A result can look right when the layers are stacked together while still containing duplicated props or imperfect individual backgrounds.
A quick review can save time before you reuse the extracted assets in a live campaign.
Limits
Product Bundle Photo to Layers is an AI-assisted image decomposition workflow. It is useful when you want to recover independent visual elements from an image that was not originally saved with layers.
But AI-generated image layers are not guaranteed to be identical to the source pixels. You may notice small changes in texture, letterforms, edges, shadows, positioning or reconstructed background areas. Very complex product collections may also exceed the model's practical layer capacity.
For commercially sensitive images, compare the extracted items against the original and make any required corrections before delivery.
Use the result to speed up editing, not as an automatic guarantee of pixel-perfect product reproduction.
Pick the tool
Best for a finished photograph centered on one main product.
Separate the primary product, supporting props, foreground elements and background so you can refine the product's presentation.
Open Product Photo to LayersBest for a photograph featuring several distinct products.
Extract individual products from the collection, keeping each item intact where possible, so you can use the products independently.
You are here
Both workflows reuse the same layer editing system. The difference is what the separation is instructed to prioritize.
Yes. Upload a photo containing multiple products, and the tool will attempt to identify and separate the individual items into editable layers. The quality depends on how clearly the products appear in the image.
The goal is independent product layers that can be used with transparency. However, very small, heavily overlapping or visually similar products may sometimes be merged or missed. Check the generated layers before downloading.
You can try skincare collections, electronics, gift sets, accessories, household items and other multi-product photographs. Different materials and scene layouts can affect the results.
A background remover typically extracts the whole group of products as one foreground image. This tool aims to separate the products from one another, as well as from major props and background elements.
The separation instructions prioritize treating each product as a complete item. Attached parts such as caps, handles, dispensers and labels should generally remain with their product, although the result should still be reviewed.
It can attempt to separate partially overlapping products. Areas hidden behind other objects may need AI reconstruction, which can differ from the product's actual appearance.
It aims to preserve visible logos and printed packaging details. However, AI processing can alter small text, logos or fine artwork. Always compare critical brand details with the original before commercial use.
You can try. Transparent and translucent materials are more challenging because reflections and visible background details are part of their appearance. Review glass edges and transparency carefully.
Major props may be separated into their own layers, allowing you to remove or reposition them in an editor. Some small decorations may remain grouped with other objects.
The workflow can provide a background layer and may reconstruct areas hidden by products. Background reconstruction is an estimate, so some objects, shadows or artifacts may remain and need manual cleanup.
There is a practical limit to the number of layers the model can produce in one run. In our example tests, output reached 16 foreground layers plus a background layer. This does not mean every image will yield that many independent products. Very crowded scenes may have merged or omitted objects.
Yes. Once separated, the layer editor lets you move, hide, reorder and adjust the layers independently, and you can download them for use in an external image editor.
Transparent image layers can be imported into Photoshop and arranged as separate layers. You can download the layers as a ZIP, and a PSD download is available on paid plans.
Yes. Separating individual products can make it easier to prepare new layouts featuring selected items, different product arrangements or alternative backgrounds.
You can use the extracted assets when preparing ecommerce graphics. However, each marketplace has its own image rules, especially for primary listing images. Review those requirements before publishing.
Not necessarily. AI separation may introduce small changes to textures, edges, lettering, reflections and previously hidden areas. Treat the result as an editable starting point and review it against the original.
No. The Product Bundle workflow uses separation instructions designed to identify individual products automatically. You do not need to list every item in your photograph.
If the product and its box are distinct visible objects, the model may place them on separate layers. When packaging is physically part of the product, the workflow aims to keep it together. Review the result if you need a specific packaging arrangement.
You can use the resulting assets according to the service terms and the rights you hold to the original imagery, brands and products. You are responsible for checking image accuracy and obtaining any necessary permissions.
First inspect the separate layers and compare them with the original. If needed, use the editing tools to adjust the composition or clean up edges. For highly detailed commercial packaging, manual corrections may still be necessary.
Working with one main product instead of a bundle? Separate the product, props and background from a finished product photo.
Have a sheet of illustrations or stickers? Extract individual sticker designs into transparent image layers.
Need a general-purpose image separation workflow? Start with the main Image to Layers tool.
Need to keep editing a flattened product advertisement? Explore the dedicated product advertisement workflow.
Want each product as its own transparent layer? This page focuses on extracting individual items from one picture.
You do not need to rebuild every product arrangement just to feature a different item. Start with the photo you already have. Separate the products, recover more usable visual layers, and prepare your next ecommerce creative with less manual cutting.
Separate my product bundleUpload your photo and review the credit cost before generating.
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