Batch Export

Downloading multiple AI-generated images simultaneously as a ZIP archive from a platform like Midjourney. Batch exports introduce specific failure modes at scale — ZIP timeouts above 5,000 images, filename collisions causing silent overwrites, and inconsistent metadata embedding — that make post-export verification essential.

Batch export is the primary mechanism for moving large image libraries from Midjourney's cloud platform to local or external storage. While single-image downloads are reliable, batch operations at scale encounter server-side timeouts during ZIP packaging, producing incomplete archives with no error notification. Filename collisions are particularly dangerous: when multiple images share generated filenames, extraction silently overwrites earlier files.

Professional workflows require a verification layer after every batch export: comparing expected versus received file counts, validating that metadata survived the ZIP packaging, and checking for duplicate filenames before extraction. Without this discipline, teams discover missing assets only when they need them — often months later when the original generation history may no longer be accessible.