AI Smart Cutout
Click any object in an image and lift it out as a clean transparent PNG. Smart Cutout uses Segment Anything to turn a single click into a precise selection, so you can isolate exactly the thing you want — not just the whole foreground — without leaving your browser.
Why Object-Level Selection Beats One-Click Background Removers
A traditional background remover makes one automatic call: keep the foreground, drop the rest. That is perfect when there is a single clear subject, and our background remover handles that case well. But a lot of real images are not that tidy — three people standing together, one product on a crowded shelf, a sign you want to pull off a wall. Automatic tools either grab all of it or merge the thing you want into the background. Smart Cutout is interactive instead. You click the specific object, the model proposes a mask, and you refine it with a second click or by switching to Remove mode. This is the same capability behind paid features like Photoshop Select Subject and the object tools in remove.bg or Photoroom — offered here free, with nothing uploaded.
How AI Smart Cutout Works
Click Load model on your first visit. The browser downloads the quantized SlimSAM weights (about 40 MB) from the Hugging Face CDN and caches them in IndexedDB. Drop or pick an image, and the tool encodes it once — this is the only slow step, because the vision encoder runs a single time per image. After that, every click is near-instant: each click runs only the lightweight mask decoder, which proposes a segmentation mask for the point you clicked. Add more points to extend the selection, or right-click (or switch to Remove mode) to carve away anything the model over-selected. When the highlighted mask matches what you want, press Cut out selection to bake the mask into the alpha channel and export a transparent PNG. The original image is untouched, so you can re-select a different object, then send the cutout straight into a crop or composite. For depth-based masking instead of object-based, the depth estimator is the companion tool. To delete an object and rebuild the background behind it instead of extracting it, use the AI Magic Eraser.
The Model, the License, and Your Privacy
The tool runs SlimSAM, a compressed build of Meta AI Segment Anything Model (SAM). The original SAM is large and impractical to run fully client-side; SlimSAM shrinks it dramatically while keeping strong segmentation quality, which is what makes in-browser inference feasible. SAM is released under the Apache 2.0 license, which permits commercial use — the reason it can ship here free on an ad-supported site, where non-commercial or research-only model licenses are off limits. The ONNX weights are mirrored by the Xenova organization on Hugging Face and run through transformers.js, with WebGPU used when your browser supports it and a WebAssembly fallback otherwise. Because everything happens locally, your image is never uploaded — not to our servers, not to the model host, not to any API.
Frequently Asked Questions
Built by Derek Giordano · Part of Ultimate Design Tools