Stockfill targets microstock contributors who spend hours per batch on metadata chores. Instead of opening each file individually, you load a collection into the app and edit titles, descriptions and keywords across hundreds of assets in one pass. The goal is consistency: the same keyword ordering logic, the same descriptive style, the same marketplace conventions applied across an entire shoot or series.
A validation layer checks your titles, descriptions and keywords against platform guidelines, so problems surface before you upload rather than after a rejection. The tool takes a local-first approach: your files, thumbnails and metadata stay on your machine, while optional AI generation runs in the cloud when you choose to use it. Batch processing is designed to handle large collections without the UI bogging down.
Stockfill is currently distributed as a v2.0 beta with a public waitlist covering Windows, macOS and Linux, and it is aimed at serious microstock creators rather than hobby uploaders. Features such as smart keyword grouping and direct EXIF/IPTC writing into image files are listed as coming soon, with optional AI assistance for generating metadata.
