Cutout.Pro vs Upscal

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.

Upscal uses built-in AI models to enhance low-resolution photos and videos on a device. Its image tools target blurry, compressed and old photos, aiming to improve edge sharpness, texture and detail. Video enhancement works frame by frame, and built-in super-resolution models can enlarge images and videos up to 8×. Batch processing is supported, with output formats including JPG, PNG, WebP, MP4, MOV and M4V. Upscal is available on iOS, macOS and Windows. Once the app and required resources are installed, normal image and video enhancement can run offline. The privacy policy says processed media is handled locally rather than sent to an external processing server, though anonymous technical diagnostics may be transmitted, including app and operating-system versions, device category, crash traces and error logs. The free plan costs nothing, has no subscription and includes core image and video enhancement with offline processing; no account is required. The maker permits commercial use when users follow applicable laws and have the necessary rights to the input content. Results vary with source quality and device capability, and enhancement cannot perfectly recover detail that was never captured.