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Tags are generated automatically from file content and metadata. No manual tagging is required.

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How Auto-Tagging Works

Tags are created during file processing:
1

AI analyzes file content

AI analyzes file content, metadata, and context
2

Key elements are identified

Key elements are identified from the analysis
3

Tags are generated

Tags are generated based on identified elements
4

Tags are stored

Tags are stored and used for search
See How Files Are Processed for the processing pipeline.

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What Gets Tagged

Tags are generated from:
  • Objects and subjects
  • Scenes and contexts
  • Topics and themes
  • Events and moments
  • People and entities
  • Dates and locations
Tags are used internally to power search, filtering, and AI interactions. Tags enable search across large file collections. Search queries automatically resolve to relevant tags. Tags work with semantic understanding to find files by meaning, not just exact matches. See Search & Discovery for how tags power search.