Ingestion is the process of bringing files into a digital asset management system: uploads, batch imports of existing folder structures, or automated syncs from connected storage. It covers everything that happens between "file arrives" and "asset is ready" — the pipeline that turns raw uploads into usable library entries.

Good ingestion does work on the way in, because the moment of entry is the cheapest place to do it. A typical pipeline scans each file for viruses, identifies its true format, extracts embedded metadata like camera data and IPTC/XMP fields, checks for duplicates against what the library already holds, generates previews and renditions, and runs enrichment such as automatic tagging or transcription. Each step done automatically here is a step nobody has to remember later — and steps skipped here tend never to happen at all, which is how libraries accumulate untagged, unpreviewable dead weight.

Ingestion is also where migrations live. Moving an existing archive into a DAM is ingestion at scale: mapping folder names to metadata, matching files to catalog records, and letting the pipeline enrich a backlog no one would ever tag by hand. Teams that migrate in slices, watching what the pipeline produces, end up with far cleaner libraries than those who bulk-copy first and plan to "organize later".

In freedam, the ingestion pipeline runs virus scanning, metadata extraction, perceptual-hash duplicate detection, preview generation, and AI enrichment as queued background jobs, so large imports process without blocking the library.

Related terms: Rendition, Duplicate Detection, Metadata