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macOS · Desktop

Upscalr

The only copy of the photo is 800 pixels wide — make it four times bigger, not four times blurrier

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About Upscalr

Upscalr runs the RealESRGAN neural network through Apple's CoreML to enlarge an image 2x or 4x. Large files are split into 512x512 tiles and blended back together with weighting at the edges, so the joins between tiles are not meant to be visible in the result. The design covers batch runs, drag-and-drop input, a before-and-after side-by-side preview, and a right-click entry in Finder, across PNG, JPEG, TIFF, WebP, HEIC, GIF and BMP. On Apple Silicon the model is loaded onto the Neural Engine and prewarmed, so the first image is not the slow one.

Who it's for

Photographers and designers who need to enlarge images without losing quality.

What it does

  • 2x and 4x upscaling with RealESRGAN
  • Tile-based processing for high-res files
  • Batch processing with progress tracking
  • Before-and-after side-by-side preview
  • Finder integration via right-click context menu
  • Supports PNG, JPEG, TIFF, WebP, HEIC, GIF, BMP

Information

Runs on
macOS · Desktop
Status
Source only
Requires
macOS 13+
Source
Public on GitHub
Telemetry
None
Built with
Swift & SwiftUI
Stack
SwiftUICoreMLRealESRGANFinderSync

Upscalr is source only, for now.

The code is public, but there's no packaged release yet. Build it from the repository today, or leave an email and hear when there's one you can double-click.

Tell me when it shipsView source

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