Czkawka
Media library

Similar Image Difference Threshold: How to Tune It

Start conservatively and widen the allowed difference only after reviewing false matches. Threshold definitions can change between versions; use the current UI descriptions.

Short answer: What difference threshold should I use for similar images?

Start conservatively and widen the allowed difference only after reviewing false matches. Threshold definitions can change between versions; use the current UI descriptions.

What to know before you begin

Start conservatively and widen the allowed difference only after reviewing false matches. Threshold definitions can change between versions; use the current UI descriptions. The project offers several scanning modes and the current version may place controls differently in Krokiet versus the older GTK GUI. Follow the meaning of the option you see, not just a screenshot from a different release.

For Windows, verify that your chosen folder is accessible and that the correct graphical frontend is running. The recommended approach starts with a small test set, especially when an action could rename, move, delete or link files.

Step-by-step: What difference threshold should I use for similar images?

  1. Start with a small sample of known duplicate and non-duplicate photographs.
  2. Run a conservative comparison to collect obvious matches.
  3. Increase the allowed difference gradually if edited copies are missed.
  4. Compare false positives after each scan rather than choosing a number blindly.

Important limitation

Before changing files: A larger tolerance may merge unrelated images that share colors or composition.

How to verify the result

Verify that each newly grouped image is genuinely redundant. A scan's estimated savings or the presence of a matching group does not by itself establish which copy should be discarded.

If the procedure does not match your screen, inspect the project's own FAQ and troubleshooting notes and identify the exact release and frontend first.

FAQ

What difference threshold should I use for similar images?

Start conservatively and widen the allowed difference only after reviewing false matches. Threshold definitions can change between versions; use the current UI descriptions.

What is the biggest risk for this task?

A larger tolerance may merge unrelated images that share colors or composition.

How do I check whether it worked?

Verify that each newly grouped image is genuinely redundant.

Related Windows guides

Editorial notes reviewed: November 1, 2026. Version-specific facts are based on the developer's release and FAQ. This guide is educational; it is not a guarantee about a third-party download.

Try Czkawka on Windows

Check the asset name and keep a backup before running a file cleanup operation.

See our download and safety instructions first.