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Product Cutout · 1080×1080

Remove background, square 1080 PNG

Marketplace listings rank partly on image quality: pixel-sharp, correctly-sized photos surface above cropped or low-resolution competitors. Product Cutout · 1080×1080 matches the platform's published image requirement so listings render without the platform's own downscaler kicking in. The preset produces 1080×1080 transparent PNG, which is what the marketplace uses for the primary product image.

Specifications

Output dimensions	1080×1080 pixels
Aspect ratio	1:1 (square)
Output format	PNG
Processing	100% in your browser — no upload
Cost	Free, unlimited

When you'd run Product Cutout · 1080×1080

Listing a new product on the marketplace and uploading the primary image at exactly the dimensions the listing search ranks against.
Reformatting a manufacturer-supplied catalogue photo to the the marketplace requirement before bulk upload via spreadsheet.
Sizing variant images (colour, size, angle) consistently so the listing's swatch view stays uniform.
Preparing assets for a third-party multichannel listing tool that pushes to the marketplace downstream.

How Product Cutout · 1080×1080 runs

This preset is a deterministic recipe — every step has fixed parameters so the result is byte-identical across runs of the same input.

Remove the background using the sharp model. The cutout runs locally with a quantised U²-Net; the alpha matte preserves hair and soft edges.
Crop the image to a 1:1 aspect ratio. Mochi keeps the centre of the frame in the middle of the crop by default — drag the crop box if you want to recompose.
Resize to 1080×1080 px as PNG.

Where the work happens

The sharp background-removal model is a quantised U²-Net checkpoint, around 5 MB on disk. It runs in your browser via ONNX Runtime Web — the WebAssembly backend is the default; WebGPU is used opportunistically when available. The model produces a per-pixel alpha matte rather than a binary mask, which preserves hair, fur, and translucent edges more cleanly than chroma-key approaches.

First-run time on a 1024×1024 input is around 1-2 seconds after the weights are cached; subsequent runs hit the cached model instantly. Like all browser-side processing here, the source image is never uploaded.

Common mistakes

Submitting at less than 1080×1080 px. Product uses image zoom on product detail pages — anything below the native size shows pixelation when the customer zooms in.
Including watermarks, borders, or promotional text. Most marketplaces reject the listing automatically when their image scanner detects added overlays.
Uploading sensitive images to a server-side tool. This preset runs entirely in your browser; the file never leaves your device. Verify this in your browser's network panel if working with confidential material.

FAQ

What does Product Cutout · 1080×1080 output?

1080×1080 px, saved as PNG.

Why is the output square (1:1)?

The marketplace this preset targets uses 1:1 framing. For passport photos this matches the printed-photo standard; for social posts it's the safe ratio that fills the feed without horizontal cropping.

Why PNG and not JPEG?

PNG preserves hard edges and transparency that JPEG would smear. Icons, logos, and screenshots compress better as PNG when the image isn't photographic.

Which background-removal model does this preset use?

A quantised U²-Net checkpoint tuned for sharp subjects. The model produces a per-pixel alpha matte rather than a binary mask, which preserves hair, fur, and translucent materials more cleanly than chroma-key approaches. Total download is around 5 MB and is cached after first load.

Does my image get uploaded?

No. This preset runs entirely in your browser using WebAssembly + canvas APIs — no server round-trip. You can verify this in your browser's network panel: only static asset requests, no image upload. The file never leaves your device.

Related presets

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