Cutout.Pro vs Magic Studio Background Remover

Cutout.Pro removes image backgrounds and can replace them with other backgrounds. It accepts JPG, PNG, WEBP and BMP files up to 15 MB, with output up to 4096 × 4096 pixels in PNG or JPG. An Erase & Restore brush lets users refine missed background areas or clipped foreground details. Batch processing is available; the Windows and Mac desktop app can process folders. Other access includes Android, iOS, Linux, web and API. Each upload receives a low-resolution preview without a watermark, account or credits, while an HD image download uses one credit. New accounts receive five credits without a credit card. The free plan is available, and the listed subscription with 80 credits per month costs $5 a month. Other subscription and pay-as-you-go credit packages are listed. Main-platform credit purchases have a 14-day refund guarantee, but Shopify App credit purchases are non-refundable. Cutout.Pro was founded in 2018 and is based in Kowloon, Hong Kong.

Magic Studio Background Remover automatically removes image backgrounds and lets users download results with no background or a colored one. Users can refine the selected subject by marking points on subjects to keep, then choose white, black or a custom background color and preview it. Supported uploads include JPG, JPEG, PNG, HEIC, WEBP and TIFF; the page says upload resolution is not limited. The tool is presented for e-commerce, photography, fashion, auto listings, animals, furniture, jewellery and graphics. It supports batch editing, including editing 50 pictures at once, but the free tier handles one picture at a time. Free use requires no signup; the listed Free plan costs nothing and includes ads, a Magic Studio logo and low-resolution downloads. The PRO plan lists unlimited AI generations, high-resolution downloads, no watermark and bulk editing for select tools, but no price is displayed. The service is available on the web, Android and iOS. Uploaded images and outputs are generally stored temporarily for processing and may be used to improve machine models.