Metadata recovery addresses the "metadata desert" problem — the millions of AI-generated images downloaded before platforms like Midjourney began embedding generation metadata (pre-late 2025). These legacy files contain no prompt, seed, or parameter information, making them opaque assets with unknown provenance.
Recovery is a multi-technique process. The highest-fidelity method is Job ID matching: if the filename or any associated record contains the Midjourney Job ID, the image can be matched against the user's generation history to recover the full prompt and parameters. When Job IDs are unavailable, visual similarity search using perceptual hashing or embedding-based matching can identify near-duplicates that do have metadata. Temporal correlation — matching file timestamps to known generation sessions — provides a lower-confidence but still useful recovery signal.
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Numonic automatically captures provenance, preserves metadata, and makes every AI-generated asset searchable and reproducible.