You can also filter images by rating, labels and comments and tags. You can adjust the size of the thumbnails, change view type, sort images by title, date, exif, file size, orientation and what not. The main window of XnViewMP shows thumbnail preview of the contents of the selected folder or category. The information include file properties, complete EXIF data, and RGB histogram. The Preview panel has two tabs – one shows the preview of the selected image, and the other shows a bunch of information about the image. This include ratings (excellent, good, average etc.), colored labels (important, work, personal etc.), categories (animals, family, landscape, travel, portraits etc.) and a few others. The Categories panel contain pre-configured categories for easier categorization of your images. When you favorite an image, it becomes available under the Favorites panel. The tree panel has three sections arranged in tabs, once each for Folders, Favorites and Categories. There are three basic panels – a tree panel, which shows the file system, a thumbnail panel that shows contents of the selected folder, and a preview panel that shows preview and details about the selected image. Additionally, there is “free” layout where you can re-orient the various panels by dragging and dropping into place. You can choose whichever layout you are conformable with. The program has different panels that are arranged into multiple layouts – 10, to be exact, including two “film strip” layouts. XnViewMP sports a new unified look that is intended to feel the same across all platforms it runs on. Apparently, development of both XnView and XnViewMP is progressing in parallel, but if Wikipedia is to be believed, the superior XnViewMP will eventually replace all versions of XnView for all platforms. XnViewMP also comes with a powerful batch conversion module – the same one that powers XnConvert. XnViewMP (MP stands for Multi Platform) is an enhanced version of the image viewing software XnView that offers better compatibility with image formats, improved performance in terms of loading, image caching and multi-core processing, full native unicode support and the ability to load full bit depth pictures (8/16/32 bits per component).
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