Beautiful photo enlargements using machine learning!

Topaz Gigapixel AI for Mac

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Topaz Gigapixel AI for Mac

  -  227 MB  -  Trial
  • Latest Version

    Topaz Gigapixel AI 7.0.4 LATEST

  • Review by

    Sophia Jones

  • Operating System

    macOS 10.13 High Sierra or later

  • User Rating

    Click to vote
  • Author / Product

    Topaz Labs / External Link

  • Filename


Topaz Gigapixel AI for Mac is an incredibly useful tool that deploys the power of AI computing and machine learning to enable users of all knowledge levels to easily upscale their digital photos by 600% without the loss of image quality. Until now enlarging of your digital photos always introduced strong visual artifacts, large blocks of pixels, loss of data, and generally unappealing pictures that could not be easily used for online sharing, use in professional projects, or even long-term storing.

With Topaz Gigapixel AI for macOS, all of the old low-resolution pictures that you have collected over the years can be reborn. The app takes all the experience from the years of the modern development of AI systems and machine learning, to implement powerful algorithms for removing data loss during image upscaling.

Large background elements such as skies and clouds are smoothed for all irregularities, small individual elements such as grass are sharpened and reconstructed to be crisp and sharp, and all your subjects (objects or people) are redrawn to showcase brand new hidden detail that was lost in original upscales. It’s AI-powered upscale removes blur, unrealistic painterly look, and restores lost detail that that resembles as it has just come from a high-resolution professional camera.

The app can handle enlargement of pictures of all sizes, including those captured from your professional camera, mobile phone, drone footage, and other sources. The end-result image can be immediately be exported for use in professional photo editing apps.

Topaz AI Gigapixel is not a plugin. It is a fully standalone app that can be used without the need for the purchase of some other photo editing suites.

To start using it today, you can either purchase a lifetime license for unrestricted personal and commercial use or test the app thoroughly via the available FREE TRIAL.

Installation and Use

Even though the Gigapixel AI app is only focused on extracting most of the available data and implementing additional image elements from your digital images, the installation package of the app is surprisingly large. It surpasses the size of 1 GB! This means that download and installation could last a while, but thankfully the stunning effectiveness of the app makes the wait worth it.

While the app can run on the minimally recommended Mac configuration of 8GB of RAM and 2 GB of video memory, developers recommend giving the app the most hardware resources you have so that its algorithms can do their work as fast as possible.

Features and Highlights
  • Scale your digital images to 600% without losing object details!
  • Resize images to new preferred sizes.
  • Image scaling powered by the newest AI and machine learning algorithms.
  • Give new life to your old digital photos! Make them presentable for online sharing or use in your work projects.
  • Transform the images taken from your professional camera, mobile phone, drone, or any other source.
  • Built-in support for batch image scaling.
  • Modest system requirements.
  • Available for FREE via TRIAL download.
Note: 30 days trial version.

Also Available: Download Topaz Gigapixel AI for Windows

What's new in this version:

- Reworked RAW flow to support more optimizations
- Optimized image loading and selection flows
- Optimized exports with alpha channel in some cases
- Added native right click menus for Mac
- Fixed issue where crop values weren’t rounded correctly
- Fixed some preferences page’s reset button behavior
- Fixed switching scale modes in crop causing preview issues
- Fixed file list resizing when images are added/removed
- Fixed file names sticking in the open file dialog
- Fixed scale being allowed to go below minimum value (0.2x)

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