Image Background Removal
Smart background removal automatically detects and preserves the image subject while removing the background to create a transparent image. Fine edge handling helps improve processing efficiency and reduce manual editing work.
Drop images here or choose files from your device
Frequently asked questions
Learn how to use background removal, which scenarios it supports, how credits work, how your data is protected, and how to get support.
How can I erase backgrounds from my images?
Upload an image, choose the image type that best matches the subject—General, Face, or Product—and start processing. UpscaleLume automatically identifies and keeps the subject, then creates a transparent background without requiring you to mark areas to keep or remove.
How is UpscaleLume's background removal different from other tools?
In addition to separating the subject from the background automatically, UpscaleLume provides General, Face, and Product image types to help the model handle the edges of different subjects more accurately and produce a transparent-background result in one click.
What use cases are supported?
Background replacement: Automatically remove the background from a person or object for online meetings, live streaming, online image editing, ID photo creation, and similar use cases.
Asset creation: Precisely separate the subject from an image so you can use it to create new advertising or promotional materials.
How much does background removal cost?
Background removal uses 1 credit per image, and you can add up to 20 images at once. Each image is charged independently when processing starts. If processing fails, the corresponding credit is returned automatically.
Is my uploaded image safe?
Your uploaded image is stored temporarily on our servers only to complete this request. Input, staging, and result images are automatically deleted within 72 hours. See the Privacy Policy linked in the footer for more information.
How do I contact support?
Email [email protected]. For processing questions, include the approximate processing time and the message shown on the page so we can locate the issue.
