Optimize Images X

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.

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.

Installation and dependencies:

To install and run this application, you need to have a working Python 3.10+ 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==2.0.0

This single dependency is installed automatically when you install Optimize Images X and will also fetch Pillow and other dependencies.

If you want to use drag-and-drop, you will also need to install the TkinterDnD2 package.

There are a few ways to install Optimize Images X. The simplest, if you don't use Python yourself, is to download a prebuilt application from the project's GitHub releases page, when available for your system.

If you have Python on your system, you can also install the most recent release from the PyPI repository using pip (the [dnd] part is optional, and only needed if you want to use drag-and-drop):

python3 -m pip install optimize-images-x[dnd]

It can be a good idea to keep this kind of Python app isolated in its own virtual environment. Two convenient third-party tools for that are pipx and uv. Instead of the command indicated above, you could then use one of these:

pipx install optimize-images-x

uv tool install optimize-images-x

After that, to run the application, just type optimize-images-x in the Terminal and press Enter.

Please note that, being a graphical application, Optimize Images X needs a Python installation that includes Tcl/Tk support. This is normally the case for the official Python distributions and most system packages. If you let a tool manage and download its own Python for you and the window fails to open, that particular build may be missing Tcl/Tk; in that case, install it against a Python that includes it.

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.

You can also drag and drop files and folders onto the application's window, if you are using the binary or you have pip installed the TkinterDnD2 package (it also needs to be activated in the Settings).

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.

Viewing images and their information

To open the selected image in the system's default viewer, press Enter or double-click it in the list (on macOS you can also press Cmd+Down). On macOS, pressing the spacebar shows a Quick Look preview instead.

To inspect an image in detail, select it and press Cmd+I (Ctrl+I on other systems), or use the corresponding entry in the File menu. This opens an image info window showing the image's properties, the optimization results (size before and after, and the space saved) and its EXIF metadata, grouped into Image, Camera and GPS sections. Known values are shown in a readable form (for example f/8, 1/250 s or 50 mm), and the colour profile description and the file's creation and modification dates are included. The window is non-modal and you can open one per image, so you can compare several at once.

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

Format conversion preferences

JPEG specific preferences

PNG specific preferences

WEBP specific preferences

More options

User interface options

You can choose the graphical user interface theme in the More… tab of the Settings Window. The list of available themes will vary depending on your operating system, as well as Python and TK/tcl versions. Just click each one of the radio buttons, and it will be applied immediately as you click.

There is also an option to enable or disable drag-and-drop support, in 'General'. This checkbox is only available if the app can find the TkinterDnD2 package.

Restoring default settings

One important feature of Optimize Images X is its opinionated choice of default app and task settings, which have been defined with the web in mind and are probably just fine when you just want to apply some compression to the final images to be deployed with your website. So, being able to restore them is also possible. You will find the Reset all settings button in the More… tab of the Settings Window.

Restoring default settings requires that the application is restarted, which is done automatically. So, before resetting, you should make sure you there are no more tasks pending or being processed.

It's worth noting that this process will also reset previous choices regarding confirmation dialog boxes, so they will be shown up again even if you had chosen not to see them.

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.

Building a standalone application

If you would like to build a standalone, double-clickable application (a .app on macOS, an .exe on Windows, or an executable on Linux), you can do so with PyInstaller. The repository includes a ready-to-use build recipe, optimize-images-x.spec.

A couple of things to know before you start. PyInstaller is not a cross-compiler, so you need to run the build on the same kind of system you are targeting: build the macOS app on a Mac, the Windows executable on Windows, and so on. Also, at the time of writing, PyInstaller does not yet support Python 3.15, so the build should be done with a supported version (for example, the standard, GIL-enabled Python 3.14). This does not affect which Python you use for everyday development; it only matters for the build.

It is a good idea to use a dedicated virtual environment for building:

python3.14 -m venv venv-build
source venv-build/bin/activate
pip install .
pip install tkinterdnd2
pip install pyinstaller
python -m PyInstaller optimize-images-x.spec

On Windows, activate the environment with venv-build\Scripts\activate instead.

The result is placed in the dist folder: on macOS you get dist/Optimize Images X.app, and on Windows and Linux you get a folder containing the executable. The build and dist folders are build artifacts and are not meant to be committed to the repository.

The application currently ships without a custom icon; you can add one by editing the icon entries near the top of optimize-images-x.spec (use a .icns file on macOS and a .ico file on Windows).

Did you find a bug or do you have a suggestion?

Please let me know, by opening a new issue, or a pull request.