Zeus Image Converter

The digital world surely does not lack graphic converters and editors. There are dozens of alternatives to choose from, one ready more than other to meet different requirements and needs. When it comes to quickly converting images from one format to another, users are normally on the lookout for an easy to use tool, with support for multiple file formats and batch operations, that also comes with extra editing options. The above description matches Zeus Image Converter perfectly.

This particular application makes it possible for users to convert between various file types, providing compatibility with some of the most popular graphic formats, namely JPG, PNG, TIFF, GIF, or ICO. Moreover, it features support for RAW images (NEF, CR2, ARW, DNG), which makes it really worth a try.  As for the output, the common file types are part of the list, along with HEIF images and even PDF documents. In other words, one can use Zeus Image Converter to include images in single page or multi-page PDFs.

The main window includes a preview area and a conversion list that can be populated either manually or by selecting a folder on the local computer and letting Zeus Image Converter to automatically choose the compatible files.

The lower panels enable users to select the output path and choose the quality of the resulting images. There are a few other output-related options that can be customized. For instance, users can set the image depth, the palette size, the compression rate, and configure a few other optimization options for each type of output.

There are a few post-processing options that Zeus Image Converter can perform, much in a similar way to a graphic editor. To be more specific, the application can resize the resulting images to a user-defined scale, crop, rotate and flip the images, or batch rename them to match a chosen format.

As shown above, the feature set of Zeus Image Converter goes far beyond changing the file format. It is also a batch editor and renaming tool for images with support for vector rasterization and HDRI. Due to its deep neural network-based super-resolution support, it can obtain high-quality images.