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olive-groves / butterfly_viewer

Side-by-side image viewer with synchronized zoom and sliding overlays. Drag and drop to instantly compare multiple images on your desktop. Very open source.
https://olive-groves.github.io/butterfly_viewer/
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comparing-images desktop-app images installer macos maxrf open-source photos pyqt python ris viewer visualization windows xrf

readme

Butterfly Viewer

Animated screencapture of the Butterfly Viewer showing a sliding overlay with three images being panned and zoomed.
Sliding overlays¹

Animated screencapture of the Butterfly Viewer showing image files loaded via drag-and-drop and then synchronously panned and zoomed.
Synchronized pan and zoom¹

Butterfly Viewer is a desktop multi-image viewer with sliding overlays, synchronized pan and zoom, and other handy features to rapidly compare local image files side by side. This can be useful for visually inspecting painting research data such as high-res and raking-light photos, X-rays, and element maps from XRF and RIS.

The Viewer runs as an installable Windows executable, a macOS app, or directly on its Python source code.

Most types of PNG, JPEG, and TIFF can be loaded into the Viewer.

Butterfly Registrator can be used to create aligned copies of your images so you can more accurately compare them with synced movement and sliding overlays in the Viewer. The Registrator helps you align (or register) images to a given reference image such that their heights and widths match and the features within those images line up.

¹Small Pear Tree in Blossom by Vincent van Gogh. Credits: Van Gogh Museum, Amsterdam (Vincent van Gogh Foundation)

Screenshot of the Butterfly Viewer showing six photographs arranged automatically as a grid.
Auto-arranging side-by-side image windows

Animated screencapture of Butterfly Viewer showing the four synchronized zooming modes.
Synchronized zooming modes

How-to's

Our Butterfly Viewer page documents how to install and use the Viewer, as well how contribute to it as a developer.

Install as Windows executable

Add as macOS app

Run on Python

Tutorial of main features

Help with common questions

Developers

Or see the source markdown file in the docs branch under docs/DEVELOPERS.md.