i♥Tools
Image & File

Image Hash

Compute perceptual image hashes for comparison, duplicate detection, similarity checks, and image workflows.

About Image Hash

Compute perceptual image hashes for comparison, duplicate detection, similarity checks, and image workflows.

Key Features

  • Processes a source file through a focused workflow.
  • Includes a configurable Perceptual hash size control.

How to Use Image Hash

  1. Select or drag and drop the source file you want to process.
  2. Choose the settings you need, including Perceptual hash size.
  3. Run Image Hash to process the requested operation.
  4. Review the generated result and use the available download or result controls when provided.

Frequently Asked Questions

What does Image Hash do?

Compute perceptual image hashes for comparison, duplicate detection, similarity checks, and image workflows.

What input does Image Hash use?

It works with a source file.

What can I configure in Image Hash?

Available controls include Perceptual hash size.

Related Tools

Perceptual image hashes help compare visual similarity rather than file bytes

An image perceptual hash is designed to produce related values for images that look similar even when their encoded file bytes are not identical.

This differs from a cryptographic file checksum. A resized or recompressed image may have a very different file hash while still having a similar perceptual hash.

Useful image-hash workflows

  • Find likely visual duplicates in controlled image sets.
  • Compare resized or recompressed versions of the same picture.
  • Build similarity-oriented image review workflows.

What to remember

  • A perceptual-hash match is not proof that two files are identical.
  • Different algorithms use different distance thresholds.
  • Confirm visually important matches before deleting or merging files.

Before relying on the result

Keep the source until you have checked the generated output. The source and destination formats can represent structure, layout and metadata differently, so important documents should be reviewed in the application or device where the result will actually be used.