StarStaX is a fast multi-platform image stacking and blending software, which allows to merge a series of photos into a single image using different blending modes. It is developed primarily for Star Trail Photography where the relative motion of the stars in consecutive images creates structures looking like star trails. Besides star trails, it can be of great use in more general image blending tasks, such as light painting, noise reduction, or synthetic exposure enlargement.

StarStaX has advanced features such as interactive gap-filling and can create an image sequence of the blending process which can easily be converted into great looking time-lapse videos. Check out the StarStaX Flickr Group for some great photos created using StarStaX!

StarStaX is available as a download for macOS and Windows. It is free to download and free to use for any purpose, including commercial projects.

Please also review usage, tutorial, support, and license information.


  • Blending/stacking modes: Lighten, Darken, Average, Addition, Subtraction, Multiplication
  • Interactive gap filling mode to automatically close small gaps in star trails (see the StarStaX tutorial)
  • Comet mode blending to create comet-like star trails
  • Supports a multitude of image formats (JPG, TIFF up to 16-bit/channel, PNG, etc.), Raw images cannot (yet) be developed using StarStaX – there are many better tools for that. For Raw images, use your favorite Raw converter, make your adjustments and export the images as TIFF.
  • Cumulative mode: A stacked image can be saved after each frame is processed (to create a cumulative stacking video)
  • Averaging and subtraction of dark frames to remove hot pixels and noise
  • Smooth zoom, 100% view, different view interpolation modes (anti-aliasing)
  • GPU support for fast navigation within images
  • Multi-touch / mouse wheel support for scrolling
  • Multi-CPU / multi-core and SSE optimized for processing speed
  • Multi-language (currently: English, German, French, Italian and Spanish)
  • StarStaX is fully 64-bit enabled on all platforms

System Requirements

macOS version
StarStaX requires macOS 10.7 or higher and a 64-bit capable Intel or Apple M1 processor.

Windows version
StarStaX requires Windows 7 or higher.

Download and Installation

StarStaX is available as a download for macOS and Windows. It is free to download and free to use for any purpose, including commercial projects. Installation instructions are given below.

Before downloading StarStaX, please review the license agreement. By using StarStaX, you are agreeing to be bound to the terms of this license.

macOS 10.15 (Catalina) – macOS 14 (Sonoma) (Intel and Apple M1/M2)

StarStaX is available as a .dmg file for download from here: 

StarStaX-0.91-macOS-appleSilicon.dmg Apple M1/M2 CPU
(optimized for 10.15 Catalina – macOS 14 Sonoma)

StarStaX-0.91-macOS-intel.dmg Intel CPU
(optimized for 10.15 Catalina – macOS 14 Sonoma)

In case of problems or error messages when opening StarStaX, please review the FAQs (particularly the second item).

To install StarStaX, please download and mount the disk image and drag StarStaX to your Applications folder. Double-click on the StarStaX application to run StarStaX.

Windows (32-bit and 64-bit)

StarStaX (64-bit) is available as a .zip file for download from here:

StarStaX (32-bit) is available as a .zip file from here:

To install StarStaX, extract the .zip archive and double-click on “StarStaX.exe” in the folder StarStaX-0.71. There is no installer. You can manually copy the StarStaX folder to any folder you like and create a link to StarStaX.exe, e.g. on the desktop or in the program menu. To uninstall just remove the StarStaX folder from your harddisk.

You may need to install the Microsoft Visual C++ Redistributable Package to install the necessary run-time components. To do so run vcredist_x64.exe and follow the installer.

See the “readme_install.txt” file in the .zip archive.


Many thanks to

  • Christian Enzweiler for design and graphics work
  • Alfonso Pereira Castro for the Spanish translation of StarStaX
  • Rubeluta Valentin for the French translation of StarStaX
  • Paolo Cosentini for the Italian translation of StarStaX
  • All the StarStaX users for lots of feedback and suggestions
  • The girls and guys behind the amazing Qt framework

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