DropBench turns dropped files into the next useful action

Field notes

The utility is organized around a summoned drop workflow: local detectors identify the item, then an engine presents only the highest-ranked actions. Visible examples include invoice recognition, JWT decoding, JSON formatting, Swift model generation, timestamp conversion, and crash-trace cleanup. The page lists 26 actions and ten detectors, with destructive operations previewed before confirmation. A browser demo is described as a JavaScript port of the app's rules, while the downloadable utility is listed for macOS 15 or later.