AI Background Studio

Remove background → add colored border → apply drop shadow. Professional product photo pipeline in one click.

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Drop images here

or click to browse (multiple files supported)

Works best with solid-color backgrounds • Up to 20 images at once

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How to Use

1

Upload Product Photos

Drop images with solid-color backgrounds (white, gray, or any uniform color works best).

2

Configure the 3 Steps

Adjust background removal tolerance for your background color. Pick a border color and width for framing. Set shadow blur and offset for depth.

3

Run Pipeline

Click "Run Pipeline". Each image goes through all 3 steps automatically: background removed, border added, shadow applied.

4

Download ZIP

All processed PNGs are packaged into a single ZIP, ready for e-commerce listings, social media, or marketing materials.

Detailed User Guide

Background Removal Algorithm

The studio uses an intelligent corner-sampling algorithm: it analyzes pixel colors at the four corners and edges of your image to determine the dominant background color, then makes all pixels within the tolerance threshold transparent. This approach works exceptionally well for product photography with solid white/gray/colored backdrops. For complex backgrounds (people outdoors, busy scenes), increase the tolerance slider or switch to manual mode.

Choosing Tolerance

Tolerance controls how aggressively similar pixels are removed. Lower values (10-25) are precise but may leave edge artifacts on slightly uneven lighting. Higher values (35-60) clean up gradients and soft shadows but risk eating into the subject edges. Start at 30 and adjust based on preview results.

Border Options

The border step adds a solid-colored frame around your cutout image. Use it to create consistent product card layouts. Set size to 0 to disable. The radius option creates rounded corners for a modern app-icon look.

Shadow Effects

The drop shadow adds realistic depth by rendering a blurred dark offset behind your image on a solid background canvas. Increase blur for softer shadows (good for floating products), decrease for sharper contact shadows. Offset X/Y control the shadow direction — positive values push shadow down-right.

Best Use Cases

  • E-commerce product photos: remove white studio background → add branded border → shadow on store page
  • Team headshots: remove office background → add company-color border → subtle shadow
  • App icons and assets: clean background → precise border sizing → polished presentation
  • Marketing collateral: batch-process dozens of product shots with identical styling

Performance & Privacy

All processing is 100% client-side using the Canvas API. No images leave your browser. Batch limit is 20 images per run to ensure stable performance across devices.

Frequently Asked Questions

The algorithm works best with solid or near-solid color backgrounds (white, gray, green screen, colored paper). It detects the background color from image corners and removes matching pixels. Complex/natural backgrounds won't work well — consider using a dedicated AI background tool for those.
Yes. Set border size to 0 to skip the border step. Set shadow blur to 0 to skip the shadow effect.
No. All 3 steps run entirely in your browser using the HTML5 Canvas API. Your images never leave your device.
PNG with transparency where the background was removed. If you add a shadow (which requires an opaque background), the shadow area will have the specified background color.
If tolerance is too low, some background pixels remain around the subject edges. Try increasing tolerance to 35-45. If tolerance is too high, it may eat into the subject — lower it slightly.
Up to 20 images per run. For larger batches, split into multiple runs.

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