Skip to main content

A image hashing library written in Python. ImageHash supports:

  • average hashing (aHash)

  • perception hashing (pHash)

  • difference hashing (dHash)

  • wavelet hashing (wHash)

Travis Coveralls

Requirements

Based on PIL/Pillow Image, numpy and scipy.fftpack (for pHash) Easy installation through pypi.

Basic usage

>>> from PIL import Image
>>> import imagehash
>>> hash = imagehash.average_hash(Image.open('test.png'))
>>> print(hash)
d879f8f89b1bbf
>>> otherhash = imagehash.average_hash(Image.open('other.bmp'))
>>> print(otherhash)
ffff3720200ffff
>>> print(hash == otherhash)
False
>>> print(hash - otherhash)
36

The demo script find_similar_images illustrates how to find similar images in a directory.

Source hosted at github: https://github.com/JohannesBuchner/imagehash

Changelog

  • 3.2: whash now also handles smaller-than-hash images

  • 3.0: dhash had a bug: It computed pixel differences vertically, not horizontally.

    I modified it to follow dHash. The old function is available as dhash_vertical.

  • 2.0: added whash

  • 1.0: initial ahash, dhash, phash implementations.

Metadata

Release files for ImageHash 3.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ImageHash 3.2
File Size Uploaded Provenance Actions
ImageHash-3.2.tar.gz 290.9 kB Without provenance Details for ImageHash-3.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ImageHash 3.2
File Interpreter ABI Platform Actions
ImageHash-3.2-py2.7.egg Legacy Egg format - - Details for ImageHash-3.2-py2.7.egg

Total release size: 590.8 kB

Release files / ImageHash-3.2.tar.gz

Download URL ImageHash-3.2.tar.gz
Size 290.9 kB
Tags Source
SHA-256 checksum
How to use checksums
566a424beb2c129bc71aff8785f32dac784284b48f88aabe9758426543491b33
BLAKE2b-256 checksum
How to use checksums
0bc1d15a40fd291b1e610f2a78d7ee98ca5183a4233b2b651cf11b2906c601d4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / ImageHash-3.2-py2.7.egg

Download URL ImageHash-3.2-py2.7.egg
Size 299.9 kB
Tags Egg
SHA-256 checksum
How to use checksums
761e1623a568ed13fd3c357e075e8eb272345dba4f2c9fd3ab325671e58f746d
BLAKE2b-256 checksum
How to use checksums
3a366a031f41c3efc2cdfa2d65759bdffe32168a1c15b720084412cee3f3b30d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for ImageHash 3.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page