Image to Layers AI
AI-powered image to transparent layers in seconds
What it does
Stop wrestling with manual masking. Image to Layers AI uses AI to analyze any picture, then splits it into clean, separate transparent PNG (RGBA) layers: the subject, the background, and individual objects. Just upload and you'll have your layer stack in about a minute. The layers work directly in Photoshop, Figma, or After Effects, so you can jump straight into your design, motion graphics, or development workflow.
Split photos, product shots, portraits, and illustrations into editable transparent PNG layers with AI. Separate subjects, objects, and backgrounds online.
Upload a JPG, PNG, or WebP and choose the layer workflow you need. Image to Layers uses AI to separate subjects, objects, and a reconstructed background into aligned RGBA layers you can move or hide independently, then download as transparent PNG files, a ZIP archive, or a layered PSD. Built for designers, motion artists, and developers who need every subject, object, and rebuilt background ready to edit. Starter results are public and do not include commercial-use rights. Buy any pack to make all results private and unlock commercial use. Choose a mode to compare how it handles layer count, planning, and speed. Everything you need to convert a flat image into editable layers. No masking,…from imagetolayers.org
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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com