Metadata-Version: 2.1
Name: optimize-images-x
Version: 0.9b0
Summary: A desktop app written in Python, that exposes and unlocks the full power of Optimize Images in a nice graphical user interface, to help you reduce the file size of images.
Home-page: https://no-title.victordomingos.com/projects/optimize-images-x/
Author: Victor Domingos
License: MIT
Project-URL: Documentation, https://github.com/victordomingos/optimize-images-x/
Project-URL: Source, https://github.com/victordomingos/optimize-images-x
Project-URL: Bug Reports, https://github.com/victordomingos/optimize-images-x/issues
Description: # Optimize Images X [![Github commits (since latest release)](https://img.shields.io/github/commits-since/victordomingos/optimize-images-x/latest.svg)](https://github.com/victordomingos/optimize-images-x) ![PyPI](https://img.shields.io/pypi/v/optimize-images-x) ![PyPI - Downloads](https://img.shields.io/pypi/dm/optimize-images-x)
        A desktop app written in Python, that exposes and unlocks the full power of 
        [Optimize Images](https://github.com/victordomingos/optimize-images) in a nice 
        graphical user interface, to help you reduce the file size of images.
        
        ![Optimize Images X - Main Window](https://github.com/victordomingos/optimize-images-x/blob/main/screenshots/optimize-images-x_main-window.png?raw=true)
        
        Optimize Images X and its CLI companion `optimize-images` offer some useful 
        features that are not always present in a single package, like batch downsizing 
        of images within a folder (and recursively though its 
        subfolders) based on specified maximum width and/or height.
        
        If you were just looking for the original (and slightly faster) command-line 
        user interface (CLI) version of this application, it's a separate project: 
        [Optimize Images](https://github.com/victordomingos/optimize-images). 
        
        ## Installation and dependencies:
        
        To install and run this application, you need to have a working
        Python 3.9+ installation. We try to keep the external dependencies at a minimum, 
        in order to keep compatibility with different  environments. At this moment, we 
        require:
        
          - optimize-images>=1.4.0
          - Pillow>=8.0.1
          - piexif>=1.1.3
          - watchdog>=2.0.2
          
        
        If you are able to swap Pillow with the faster version 
        [Pillow-SIMD](https://github.com/uploadcare/pillow-simd), you should be able
        to get a considerably faster speed. For that reason, we provide, as a 
        friendly courtesy, an optional shell script (`replace_pillow__macOS.sh`) to 
        replace Pillow with the faster Pillow-SIMD on macOS. Please notice, however, 
        that it usually requires a compilation step, and it was not throughly tested 
        by us, so your mileage may vary.
        
        
        ## How to use
        
        To start compressing images, just add one or more files, or a folder. The 
        process starts as soon as the files are added to the list.
        
        After launching the application for the first time, make sure all settings are 
        configured as desired. The application's default settings are similar to the 
        ones in Optimize Images. Whenever you change a setting it is applied 
        immediately, and it's saved in the app's database, so that it will be can be 
        used again the next time you run the app, without any need to go through all the 
        settings. 
        
        In simple terms, always make sure you have configured Optimize Images X as you 
        want it, but if you just want to use the same settings from last time, just add 
        images.
        
        ## Preferences
        
        If you have used Optimize Images before, you probably already know what options 
        are available. If not, please take a few minutes to take a look at the 
        Preferences window and its tabs. You will find a description of each option on 
        the original documentation for the command-line based Optimize Images. 
        
        ### General preferences
        ![Optimize Images X - Preferences Window: General](https://github.com/victordomingos/optimize-images-x/raw/main/screenshots/optimize-images-x_prefs_general.jpg)
        
        ### JPEG specific preferences
        ![Optimize Images X - Preferences Window: General](https://github.com/victordomingos/optimize-images-x/raw/main/screenshots/optimize-images-x_prefs_jpeg.jpg)
        
        ### PNG specific preferences
        ![Optimize Images X - Preferences Window: General](https://github.com/victordomingos/optimize-images-x/raw/main/screenshots/optimize-images-x_prefs_png.jpg)
        
        
        **DISCLAIMER:  
        Please note that the operation is done DESTRUCTIVELY, by replacing the
        original files with the processed ones. You definitely should duplicate the
        source file or folder before using this utility, in order to be able to
        recover any eventual damaged files or any resulting images that don't have the
        desired quality.**
          
          
        ## Did you find a bug or do you have a suggestion?
        
        Please let me know, by opening a new issue, or a pull request.
        
Keywords: python3 pythonista-ios pil pillow image-processing image-compression image-optimization image-optimisation seo seo-optimization website-performance gui recursive non-recursive
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: MacOS X
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX :: Linux 
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Utilities
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Multimedia :: Graphics :: Graphics Conversion
Requires-Python: >=3.9
Description-Content-Type: text/markdown
