
Ruby on Rails
Django
Node.js
Laravel
ExpressJS
Flask
Meteor
ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.

Canva
Photopea
Adobe Photoshop
Figma
Pixlr
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?
Based on our record, ASP.NET seems to be more popular. It has been mentioned 26 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | dotnet.microsoft.com | layergrab.com |
| Pricing | — | |
| Company | Startup from the United States | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of ASP.NET 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
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
{"enterprises" => "Ideal for enterprise-level applications requiring high security, performance, and scalability.", "developers_with_c#" => "Highly suitable for developers with a background in C#, offering seamless integration with existing .NET applications.", "large_web_applications" => "Perfect for developing large web applications, API services, and microservices.", "teams_using_microsoft_stack" => "Best for development teams already using the Microsoft technology stack, including Azure services."}
No analysis of LayerGrab yet.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing ASP.NET 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/.
Share your experience with using ASP.NET and LayerGrab. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


ASP.NET’s got that Microsoft muscle, a powerhouse of a framework for building dynamic web services and more. It lets you roll out robust websites with the smoothness that comes with deep pockets. Perfect for .NET...
Moving over to the .NET platform, Asp.Net is an open-source web framework developed by Microsoft that allows developers to build dynamic web pages, apps, and services using HTML, JavaScript, and CSS.
Last but not least, a back-end web framework created by Microsoft for the development of dynamic web pages - ASP.NET. Built on top of C# it is one the fastest frameworks available on the market. ASP.NET is capable of...
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Recommendations tracked on public social media and blogs since March 2021.


Based on libuv, the library that significantly influenced Node.js, Microsoft modernized the aging ASP.NET with ASP.NET Core starting in 2014. Later, Kestrel, a .NET-based engine, was added as a modern foundation. Minimal APIs marked... - Source: dev.to / 10 months ago
Learn how to integrate n8n workflows into ASP.NET Core applications. API integration guide for triggering automations from your C# backend. - Source: dev.to / 10 months ago
In the Microsoft world, it is the direct equivalent of ASP.NET Core. Phoenix is known for high developer productivity and exceptional application performance. - Source: dev.to / 11 months ago
Tracking LayerGrab since Sep 2026.
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