# LayerGrab Review AI tool that splits any flat image into up to 16 named, editable layers with background inpainting, for designers and creators. ## Editor's Score: 68/100 Capability scores 18 because the core layer-splitting function is genuinely useful and the background inpainting plus named-layer output are real differentiators, but the hard ceiling of raster-only output with no editable text or vector path is a meaningful gap versus what a designer might expect from a 'layer' workflow. Ease of use scores 20 because the workflow is minimal: upload, wait 60 to 100 seconds, download; the plugin ecosystem and MIT-licensed source code add credibility to the onboarding story. Value scores 15 because the Basic plan's 1,200 monthly credits cover only about 120 layers at $0.10 each, which is a tight allowance for $12/month, and the no-rollover policy means any unused credits in a slow month are simply lost. Delivery scores 15 because the tool is very new (listed on directories in October 2026 with no disclosed funding or user review corpus), making it difficult to assess long-term reliability, and the one-free-split trial is a thin proof point for a credit-based service where costs can accumulate before a user fully understands the per-layer pricing. ## Pros - Background inpainting fills reconstructed areas automatically, so extracted elements can be repositioned without leaving transparent holes. - Plugin source code is MIT-licensed on GitHub, giving technically inclined users full visibility into what the client runs and the ability to self-host the client layer. - Per-layer credit model means a failed split is refunded in full, and extracting just one named object costs less than a full split. ## Cons - All output layers are rasterized image files; text returns as pixels, not editable type, and there is no vector export path, which is a hard limit no credit tier can fix. - Subscription credits do not roll over: unused Basic or Premium credits reset every billing month, so a month of lighter use is simply lost. - The Basic plan's 1,200 monthly credits cover only about 120 layers, which works out to roughly 12 to 17 average splits per month, a ceiling that active designers will hit within the first week. ## Pricing Paid. - Free Trial: Free - Basic (monthly): $12/mo - Basic (yearly): $99/yr - Premium (monthly): $36/mo - Premium (yearly): $299/yr - Credit Pack - 1,800 credits: $20 - Credit Pack - 6,600 credits: $60 Pricing reflects what we saw at the time of review (2026-10). Confirm current pricing on the official site. Category: AI Design & Art (https://aitoolseekers.com/category/ai-design-art) Official site: https://layergrab.com/ Last verified by a human: 2026-10-29 Reviewed by a human at AI Tool Seekers, a hand-reviewed AI tools directory. Every listed tool is verified by a person before publishing. Scores are editorial opinions from a fixed rubric (capability, ease of use, value, delivery on promise) and cannot be bought; there is no pay-to-rank. Directory: https://aitoolseekers.com This review: https://aitoolseekers.com/tools/layergrab Methodology: https://aitoolseekers.com/how-verification-works ## Verdict LayerGrab is the right pick for designers who receive flat JPGs, AI-generated posters, or client screenshots and need to pull elements apart without redrawing anything. The per-layer credit model is transparent but adds up fast for high-volume work, and the Basic plan's 120-layer monthly allowance will feel tight for anyone processing more than a dozen images a week. If you need editable text or vector paths rather than rasterized image layers, this tool cannot help you. Best for: Designers editing flat images or AI-generated artwork without source files Not for: Anyone needing editable text, vector paths, or high-volume batch processing on a budget ## Overview LayerGrab does one thing: it takes a flat raster image and returns a stack of named, transparent layers, one per element, with the background reconstructed behind each extracted object. Upload a PNG, JPG, or WebP up to 20 MB, wait 60 to 100 seconds, and you get up to 16 layers with readable English names like "Yellow Price Tag $129" rather than the generic Layer 1, Layer 2 numbering you would get from a manual selection workflow. The background inpainting is the feature that separates it from a simple object-removal tool: when you pull out a product or a headline, the area behind it is filled in by the AI, so nothing leaves a hole. The pricing model is unusual and worth understanding before you sign up. You pay per layer returned, not per image. Basic plan users spend 10 credits per layer ($0.10), Premium users spend 8 credits per layer ($0.08). A typical 9-layer split with its background costs 100 credits on Basic, or $1.00. That math is fine for occasional use but climbs quickly for anyone processing dozens of images weekly. The Basic plan's 1,200 monthly credits cover roughly 120 layers total, which is about 12 to 17 average splits per month. The tool ships with plugins for Photoshop, Figma, Sketch, and a Chrome extension, and the plugin source code is MIT-licensed on GitHub. That openness is a genuine differentiator: you can inspect exactly what the client-side code does, and the Chrome extension lets you right-click any image on any webpage and split it directly from the browser's side panel. Results are kept for 30 days, after which you need to have downloaded your layers or they are gone. The honest limitation to state upfront: layers come back as raster images, not editable type or vector shapes. Text that was garbled in an AI image comes back as a pixel layer you can move or mask, not a string you can retype. If your goal is to fix copy or convert artwork to scalable paths, LayerGrab is the wrong tool. ## Who should use it A freelance designer who regularly receives flat JPGs from clients and needs to isolate a logo, swap a background, or reposition a product without going back to the client for source files will get real value here. The same applies to social media managers who work with AI-generated images and need to pull a headline or product onto its own layer for a quick resize or color adjustment. The one-free-split trial is enough to test whether the AI handles your typical image type before committing to a plan. If you process more than 20 to 30 images a month, the Basic plan's roughly 120-layer allowance will run out fast and the Premium plan at $36/month may be the realistic entry point. Anyone who needs to edit the actual text content of an image, or who works primarily with vector artwork, should look elsewhere. Canva, which is already in our directory, covers a much broader design workflow including text editing and template-based creation, and is a better fit if layer extraction is only one small part of what you need. ## FAQ Q: Is there a free plan or ongoing free credits? A: No ongoing free tier exists. Every account gets exactly one free split with all layers downloadable. After that, the cheapest entry point is a $20 one-time credit pack covering about 180 layers. Q: What file types and sizes does LayerGrab accept? A: It accepts PNG, JPG, and WebP files up to 20 MB. It does not accept vector formats like SVG or AI files. Q: Do the layers come back as editable text or vectors? A: No. Every layer is a rasterized PNG image. Text returns as a pixel layer you can move or mask, not a string you can retype. There is no vector export. Q: How long are split results stored? A: Results are kept for 30 days, then permanently deleted. You need to download your layers, ZIP, or PSD before that window closes. Your credit and split history stays in your account indefinitely. Q: Do unused subscription credits carry over to the next month? A: No. Subscription credits reset at the start of each billing month. Credit pack credits are separate and expire one year after purchase. Q: Can I use LayerGrab inside Figma or Photoshop without opening the website? A: Yes. Plugins exist for Figma, Photoshop, and Sketch, and a Chrome extension lets you right-click any image on any webpage to split it. All plugins use your LayerGrab account credits. The plugin source code is MIT-licensed and publicly available on GitHub.