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Extract one object or split a flat image into up to 17 editable layers with AI. LayerGrab names layers, fills backgrounds after removal, and exports PNG, ZIP or layered PSD for posters, banners, illustrations, people, objects and product photos.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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TT
Tip Tap
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|---|---|---|
| Website | tip-tap.minung.dev | layergrab.com |
| Pricing | — | |
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of Tip Tap yet.
LayerGrab reconstructs the editable structure hidden inside a flat image. Use it in two ways: extract a specific object—such as a product, person, headline, price tag or prop—from a poster, banner, illustration or product photo; or decompose the entire image into up to 17 named transparent...
What each product offers, as listed by its team.

Possible disadvantages
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Tip Tap Review - with Tom Vasel
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As answered by people managing Tip Tap and LayerGrab.
LayerGrab's answer:
LayerGrab focuses on recovering editable structure from a flat image. You can extract one named object, such as a person, product, headline, prop or price tag, or split the complete image into up to 17 transparent layers. The returned layers are completed and the background is filled after removals, so the result is usable for real design work instead of a rough cutout.
LayerGrab's answer:
Choose LayerGrab when you have a flat reference image but need editable parts. It handles both a focused extraction and a whole-image layer breakdown, names the layers, completes the content behind removed elements, and exports transparent PNG, ZIP or layered PSD. It is useful for adapting posters and banners, separating people or products, breaking down illustrations and infographics, and reworking AI-generated images in Photoshop, Figma or Sketch.
LayerGrab's answer:
LayerGrab is for designers, illustrators, marketers, photo editors and creators who need to reuse an image without the original source file. Typical users work with posters, social banners, product photos, infographics, character art, people and objects, or AI-generated images that need further editing.
LayerGrab's answer:
LayerGrab started from a common design problem: a useful reference image is available, but the original layered file is gone. The project combines object extraction, whole-image decomposition and background completion so a flat image can become a practical editable starting point again. The web app and Photoshop, Figma and Sketch plugins make the workflow fit both quick experiments and production design.
LayerGrab's answer:
The project is a TypeScript monorepo with a shared LayerGrab core and web and plugin clients. The repository includes a Next.js web app plus Photoshop UXP, Figma and Sketch plugins. The decomposition workflow uses an image-capable model with layer decomposition enabled, then returns transparent PNG layers and a completed background; the current plugin workflow supports bring-your-own apimodels.app API keys.
LayerGrab's answer:
LayerGrab is an early-stage product and does not publish a customer list yet. It is built for designers, illustrators, marketers, photo editors and creators who need to recover editable layers from flat images. The web app and plugins are available for users to try at https://layergrab.com/.
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