Removal.AI vs unbagrnd

Removal.AI removes image backgrounds and can produce white, custom, or transparent backgrounds in three seconds or less. The web editor can replace backgrounds, add text and effects, and let users manually edit the foreground with a background eraser. Bulk Upload accepts up to 100 images per upload and uses half the credits per image; the service also describes processing over 1,000 images in one upload. A desktop app for macOS and Windows supports whole-folder processing, background colors, pause and resume, ecommerce optimization, and automatic cropping. The API takes direct uploads or image URLs and returns a file URL or Base64 output, with resolutions up to 25 megapixels. New API users receive 10 free preview credits per month by default, and a Figma plugin is available. The Free plan costs nothing and is limited to 0.25 megapixels and personal use. Paid options include credit packs billed once and monthly plans; the three-credit lifetime option is listed at $1.89 a month, billed once. JPG or PNG uploads can be up to 12 MB, and images above 36 megapixels are resized.

unbagrnd removes photo backgrounds with on-device AI, and its desktop app processes images locally through ONNX Runtime. The maker says images, filenames, and metadata are not sent anywhere; the app makes a one-time model download and has no analytics, update checks, or telemetry. Users can choose among several models with different speed and accuracy tradeoffs; the default is described as 43 MB. Editing tools include brush erase and restore with undo and redo, edge shift and smoothing, background color and shadow styling, and alpha matte export. It is intended for single photos or folders, including cutout refinement and background styling. A Docker-based REST API can be self-hosted to process images inside the user’s container. Its documented defaults include a 20 MB image limit, dimensions up to 8192 pixels, batches of up to 10, and 60 requests per API key per minute. The API uses plain HTTP, so a reverse proxy is recommended for TLS when exposing it publicly. The software is free and MIT-licensed, with Android, Linux, macOS, Windows, API, and self-hosted platforms listed.