Black Bird Image Optimizer Activator Full Version

As its name makes it crystal clear, Black Bird Image Optimizer is a useful piece of software designed from the ground up to help you reduce the size of your pictures without noteworthy quality loss.

Besides making sure that .NET Framework 4.0 or later is present on your computer's system, the deployment process is a fairly typical one thanks to a streamlined, wizard-based installer.

Download Black Bird Image Optimizer Crack

Software company
Rank 3.6
795 3.6
Crack size ~ 500KB
Downloads total 6166
Systems Win All

Once you are met by the app's main window, it should become quite clear that this is by no means a complicated application. There are basically two modes for optimizing your pictures, an Advanced Optimization mode which allows you to make use of a set of sliders (Quality, Blur, Brightness, and Contrast), and a self-explanatory Batch Optimization mode.

In the first mode, the app's main window is basically split into two equal parts, one that allows you to preview the picture and its size before the optimization while the other will display the result. That said, simply upload the picture, fiddle about with various settings with the help of the aforementioned sliders, and click save the results, using the dedicated buttons.

A noteworthy feature is the fact that the app provides you with a clear explanation regarding the actual changes that will be done to your pictures depending on your optimization level. As we're sure you'll notice, most of the optimization methods rely on a form of color quantization which means that the app reduces the number of colors from the original image while maintaining the overall aspect intact.

As far as image optimizers go, Black Bird Image Optimizer Keygen is not too shabby. It features a fairly decent optimization algorithm, it offers a modern interface, both single and batch optimization modes and enough user feedback to make even the most novice of users feel right at home.


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João Eduardo, 23 June 2017

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James, 25 April 2017

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Kevin, 28 January 2017

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