Similarity

Similarity helps you find images that look like a selected reference image. It is useful for bursts, near-duplicates, and sessions with many similar frames.

Similarity data is kept in memory for the current catalog session. If you close or reload the catalog, run indexing again.

Find Similar Images

  1. Open a catalog.
  2. Select Index Similarity.
  3. Select an image to use as the reference.
  4. Select Find Similar.
  5. Turn on the Similarity sort to place the closest matches first.

RawCull uses Apple Vision feature prints to compare visual content. If sharpness scoring has already run, subject information can slightly improve the ranking.

Burst Analysis

Select Analyze Bursts to group similar sequences and recommend stronger candidates. If sharpness scores are missing, RawCull scores the catalog first.

Burst review can show:

QueueMeaning
Need ReviewGroups that need manual attention
ReviewedGroups RawCull considers reviewed
DeferredGroups you chose to leave for later

Inside burst mode, adjust the sensitivity slider:

SensitivityResult
LowerTighter groups
HigherBroader groups with more similar scenes included

Use Exit Groups to return to the flat grid. Use Reanalyze Bursts if you want RawCull to rebuild burst analysis from scratch.

Tips

  • Run sharpness scoring before similarity when possible.
  • Use the sharpest image in a burst as the reference for Find Similar.
  • Re-index after adding files to the catalog.
  • Similarity sorting does not change ratings or copy decisions.

Last modified June 9, 2026: update (835b35a)