Background Remover
How to use
Removes the background from any image automatically using an AI model. The result is a cutout with a transparent background that you can use in designs. Drop in an image, wait a few seconds while it processes, and download the result. Everything runs on your device.
Select or drag & drop an image
Background is removed locally with an AI model. First run downloads the model, then it works offline.
Why use this tool
- An AI model separates the subject from the background and gives you a transparent PNG, ready for product photos, profile pictures and designs.
- The model runs on your device, so the photo itself is never sent to a server; the model is downloaded the first time you use the tool.
- Choose the output size, from small for the web up to the original resolution, and compare before and after with a slider.
- Isolating a product photo onto a clean white or transparent background for a marketplace listing
- Cutting a subject out of a photo to composite them onto a new background for social media
- Removing a busy background from a headshot before using it as a profile picture
- Preparing transparent PNG assets for a design project without opening Photoshop
Free and private. Everything runs on your own device, with no account and no uploads.
Cutting a subject out from its background used to require a subscription tool or careful manual masking in Photoshop, but this tool detects the foreground automatically using an AI segmentation model that runs on-device through WebGPU or WASM. A before/after slider lets you check the mask quality, and because the model runs locally, your photo never leaves your device even though it is being processed by an AI network.
No, background removal runs through an AI model executing locally in your browser via WebGPU or WASM, so the photo is never sent to a server, though it is processed by AI compute on your own device.
Without WebGPU support the model falls back to a slower WASM path; choosing a smaller output size in the size options can speed things up.
The output is a PNG with a transparent background so it can be placed over any new backdrop.
The AI segmentation handles fine edges like hair reasonably well, but very busy or low-contrast backgrounds can produce a rougher edge that may need manual cleanup.
Yes, though older phones without WASM/WebGPU acceleration will process more slowly than a modern desktop browser.
- 1
Upload your photo
Drop in the image containing the subject you want to isolate.
- 2
Let the AI model process it
Wait while the on-device segmentation model runs and generates a transparency mask.
- 3
Compare with the slider
Drag the before/after slider to inspect where the background was removed.
- 4
Choose an output size
Pick small, medium, large, or original resolution for the export.
- 5
Download the result
Save the image with a transparent background as a PNG.
- ·Use the before/after slider to check edge quality around hair or fur, which is where segmentation is most likely to need manual touch-up
- ·Choose a smaller output size if processing feels slow on your device, it reduces the compute load on the segmentation model
- ·Photos with high contrast between subject and background produce cleaner masks than busy or low-contrast scenes