AI Ease vs unbagrnd

AI Ease has no write-up on Specifiction yet; its figures are above.

unbagrnd removes photo backgrounds with on-device AI, processing images locally in its desktop app with ONNX Runtime. It can handle a single image or a folder, with live before-and-after previews as processing completes. Users can pick from several models to balance speed and accuracy; the default is 43 MB. Brush tools erase or restore subject areas, with undo and redo, and users can add a solid-color background or an on-device drop shadow. The app predicts a foreground mask on the CPU, combines it with the original pixels, and saves the result as PNG. The maker says the only network request is a one-time model download, with no analytics, update checks, or telemetry. unbagrnd is free and open source under the MIT license, with no API keys, paid tiers, or usage limits. A self-hosted, Docker-capable REST API supports single-image and batch processing. Its documented defaults allow 20 MB per image, batches of up to 10, and 60 requests per minute per API key. It supports Android, Linux, macOS, Windows, and self-hosted use.