CrystalFetch Box Shot

CrystalFetch: A macOS App to Create Windows 11 ISOs

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Installing Windows on a Mac can be a daunting task, but it’s become much easier in recent years. There are now various virtualization and emulation solutions available that make it possible to run Windows on a Mac without major problems.

One of the best tools for creating Windows 11 ISOs on macOS is CrystalFetch. This open-source app is easy to use and provides a user-friendly interface for the UUP dump and various scripts.

What is CrystalFetch?

CrystalFetch is a macOS application that creates ISO images of the Windows 11 installer. We can use it with both UTM virtual machines and other VM solutions.

CrystalFetch provides a user-friendly interface for the UUP dump and various scripts, making it easy to download and create Windows 11 ISOs.

How to use CrystalFetch

To use CrystalFetch, simply download the app from the GitHub releases page and install it on your Mac.

Once the app is installed, open it and select the version of Windows 11 that you want to download. CrystalFetch will then download the ISO image and create a new file in your Downloads folder.

CrystalFetch

Features :

  • User-friendly interface: Easy to use and provides a simple way to download and create Windows 11 ISOs.
  • Supports both UTM and other VM solutions: Can be used with both UTM virtual machines and other VM solutions, making it a versatile tool for running Windows on a Mac.
  • Supports both official release versions and insider builds: Official release versions and insider builds of Windows 11 can be downloaded using this software.
  • New ESD conversion method: The latest version of the app offers a new ESD conversion method that is much simpler and also creates working images for Windows 11 x64

Conclusion:

CrystalFetch is a great tool for creating Windows 11 ISOs on macOS. It’s easy to use, supports both UTM and other VM solutions, and offers various features that make it a versatile tool for running Windows on a Mac.

To learn more about this application, visit this GitHub page.