Skip to main content

A modern Python application for finding and managing similar or duplicate images in your photo collection. The tool uses Machine Learning to compare images and provides an intuitive interface for reviewing and organizing your photos.

Select the photo you want to keep with arrow keys

Features

  • 🖼️ Supports multiple image formats (JPG, PNG, WebP, etc.)

  • 🔍 Advanced image comparison using Machine Learning

  • 🎯 Smart caching for improved performance

  • 📊 Image metadata display

  • 🖱️ Intuitive navigation with address bar

Screenshot

Photo Condenser Screenshot

Installation

Using pipx

pipx install photo_condenser

Usage

Command Line

# Launch the application
photo_condenser

# Or run directly
python -m photo_condenser

Basic Workflow

  1. Launch the application

  2. Use the address bar to navigate to your photo directory

  3. The application will present you with pairs of similar images

  4. Use the arrow keys to select the image you want to keep or Spac

Release files for photo_condenser 0.0.3

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

Source distribution (sdist)

Source distribution for photo_condenser 0.0.3
File Size Uploaded
photo_condenser-0.0.3.tar.gz 1.7 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for photo_condenser 0.0.3
File Interpreter ABI Platform
photo_condenser-0.0.3-py3-none-any.whl Python 3 none any Details

Total release size: 1.8 MB

Release files / photo_condenser-0.0.3.tar.gz

Download URL photo_condenser-0.0.3.tar.gz
Size 1.7 MB
Tags Source
SHA-256 checksum
How to use checksums
62b6200ffab86b3c75a016c9b4ae8c72c46cb1a8e18d8365691a1f73aa4ae44b
BLAKE2b-256 checksum
How to use checksums
c0b25c28e693fd9f9ce6c4e61d718d25c59c50525da679172527a5ed5e26ff31
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-requests/2.32.4

Release files / photo_condenser-0.0.3-py3-none-any.whl

Download URL photo_condenser-0.0.3-py3-none-any.whl
Size 23.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3b0f807b362f482d1a7b8e5d206f80921e262c59a78f9b04ecf7220d199346a3
BLAKE2b-256 checksum
How to use checksums
aebc6a1e41cbe772774b751fc37e5a7dbc9b7c69b7664dedd27ad04580ff2d18
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-requests/2.32.4

Release history Release notifications | RSS feed

This release

0.0.3 This release

2 release files

0.0.2

2 release files

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