Name: Vectoraster for Mac Version: 7.1.1 Release Date: 10 May 2017 Mac Platform: Intel OS version:OS X 10.9 or later Processor type(s) & speed: 64-bit processor Includes: Crack Web Site: https://www.lostminds.com/vectoraster7/ Overview: Vectoraster is a graphics utility for creating vector-based raster patterns and halftones based on images or gradients. The raster patterns and point shapes can be changed and varied across the pattern to produce many different styles. The resulting raster is always shown, updating in real time as you change parameters. The result can then easily be exported as vectors to EPS or PDF files, as images to JPEG, PNG or TIFF, or simply copied and pasted into most graphics software. You can download and try Vectoraster for free, but with some limitations. To remove these limitations and get the full version you have to pay for the application. Features ・General ・Many different point shape types, including circles, polygons, font characters and imported custom vector shapes or images ・Detailed control of how you want point shape, transformation and color to vary over the raster ・Base how the raster points vary on source images, gradients you define live in Vectoraster, or a combination ・Advanced line-raster mode with lines of varying width instead of points ・Patterns ・Many different raster patterns with detailed control of how the points are placed. ・Easily rotate and offset the raster pattern, and add multiple distrotions like waves and twists. ・Output ・Copy raster output and paste it straight into most vector graphics software. ・File export to EPS and PDF for vector output, and JPEG, PNG and TIFF for bitmap. ・Export point data (location and size) to a CSV file for further CAD or other processing. What's New in Version 7.1.1: ・Stroke rendering on line rasters now properly uses the stroke color instead of fill color. ・Fixed some bugs with basing raster point colors on a source image with an applied blur effect. ・Some interface bug-fixes related to replacing the image of an existing raster source image.