Pixelmator Pro 1.7 Sequoia

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Machine Learning

Intelligent image editing.

Pixelmator Pro uses machine learning to deliver more intelligent image editing. Machine learning is a technology that allows computers to learn and then use that knowledge to perform specific tasks more like a person than a computer. Integrated via the new, blazing fast Core ML framework, machine learning lets Pixelmator Pro detect and understand various features within images. Which makes it possible to create image editing features that are more intelligent than ever before.

  • ML Enhance

    Automatically enhance photos like a pro photographer.

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  • ML Super Resolution

    Magically increase the resolution of images while preserving sharpness and details.

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  • ML Match Colors

    Quickly and easily match the colors and style of any photo.

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  • ML Denoise

    Effortlessly remove camera noise and image compression artifacts from photos.

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  • ML Layer Naming

    Automatically name every layer in your composition.

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  • Horizon Detection

    Automatically straighten your photos using Horizon Detection.

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  • Repair Tool

    Magically remove objects, recreating image areas with stunning realism.

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  • Quick Selection Tool

    Quickly make accurate selections with ease.

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ML Enhance

Automatically enhance photos like a pro photographer.

The machine learning-powered ML Enhance intelligently fine-tunes 37 individual color adjustments to give you the best starting point for making your own creative edits to a photo. Trained on over 20 million professional photos and integrated via Core ML 2, ML Enhance makes adjustments based on the actual contents of a photo, taking care of all the little details that go into a great photo, such as white balance, exposure, shadow, and highlight detail, and leaves the creative finishing touches to you.

  • 5 ML-Powered Adjustments

    Along with ML Enhance, Pixelmator Pro has five individual machine learning powered adjustments — White Balance, Lightness, Hue & Saturation, Selective Color, and Color Balance. Each adjustment intelligently improves photos using the knowledge from the 20-million-photo dataset, delivering stunning automatic enhancement.

ML Super Resolution

Magically increase the resolution of images while preserving sharpness and details.

Using state-of-the-art machine learning techniques, ML Super Resolution increases the resolution of images — whether photos, illustrations, paintings, or designs — while preserving textures, edges, and other details. What’s more, ML Super Resolution also intelligently removes image noise and compression artifacts during the upscaling process, delivering incredible quality.

Nearest Neighbor

ML Super Resolution

Nearest Neighbor

ML Super Resolution

  • Preserve Details

    ML Super Resolution has been trained to intelligently preserve details by identifying specific features in an image, like colors, textures, edges, patterns, gradients, and upscaling each individually.

  • Remove Noise and Artifacts

    Small images often feature noise and compression artifacts, which ML Super Resolution removes during the upscaling process — not only enlarging the image, but also improving its quality.

  • Performance

    Compared to traditional algorithms, ML Super Resolution requires between 8 to 62 thousand times more processing power. Thanks to Core ML and the latest Mac graphics processors, images are upscaled in just a few seconds or less.

  • RAW Support

    Use ML Super Resolution to upscale RAW images while fully preserving their extended range data.

ML Match Colors

Quickly and easily match the colors and style of any photo.

The incredible ML Match Colors lets you quickly and easily match the colors and style of any photo. Simply drag and drop a photo onto the Color Adjustments pane — when you do, the Core ML-powered ML Match Colors analyzes the contents of both your photo and the target photo, identifies any objects within both images, and detects their colors and lighting. Then it applies 37 individual color adjustments, intelligently fine-tuning each adjustment using a machine learning algorithm trained on 20 million professional photographs.

  • Paste and ML Match Colors

    When inserting objects from the Clipboard, automatically adjust their colors using ML Match Colors to make sure the objects blend in with their new surroundings as naturally as possible.

ML Denoise

Effortlessly remove camera noise and image compression artifacts from photos.

Integrated via Core ML, ML Denoise effortlessly removes luminance and color noise created by cameras in low-light photos. It can even reduce artifacts caused by image compression algorithms, noticeably improving image quality while preserving important details.

ML Layer Naming

Automatically name every layer in your composition.

Using machine learning, Pixelmator Pro automatically recognizes the contents of images and gives descriptive names to every layer you add to your composition. In real-time. So you don’t end up with a bunch of layers called Layer 1 to Layer 99. Just drop in a photo from your Photos library or elsewhere on your Mac and it will automatically be named for you.

Horizon Detection

Automatically straighten your photos using Horizon Detection.

With the help of machine learning, Pixelmator Pro detects the horizon in images to automatically straighten your shots for you.

Repair Tool

Magically remove objects, recreating image areas with stunning realism.

Featuring an algorithm developed and enhanced using machine learning, the Repair Tool lets you paint over objects to remove them, recreating image areas with stunning realism. It intelligently matches surrounding colors, textures, and even the structure of the image to naturally repair areas. As if by magic.

Replay

Quick Selection Tool

Quickly make accurate selections with ease.

The Quick Selection Tool uses machine learning to deliver incredibly accurate object selection, including features such as Direction Awareness, Smart Borders, and Advanced Edge Detection.