BackgroundRemover vs unbagrnd

BackgroundRemover uses AI to remove image and video backgrounds, with options for people, general subjects, or faster processing. Images can be refined with alpha matting or mask output, then given a color or image background; video output can be transparent MOV, matte key, GIF, or a composite over another image or video. Its command-line formats include JPG, JPEG, PNG, HEIC, and HEIF images, and MP4, MOV, WebM, OGG, and GIF video. The open-source project can be installed locally for free with pip or from source, and it offers a local HTTP API as well as a hosted REST API with examples in Python, PHP, JavaScript, and C#. GPU detection is automatic, with CPU fallback when needed. The Free plan is free and allows one standard-resolution transparent PNG image daily, short videos, and ads, without batch processing. Pro (annual) is $9 a year, billed at US$ 108.0 annually; Pro (monthly) is $12 a month.

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.