Imagine you had a folder of images in *.bmp format.\u00a0 File sizes of bmps are larger than jpg files because they contain more information.\u00a0 To convert these bmp files to jpgs you could open a .bmp file in a graphics program (such as photoshop), select processes (such as ‘save for web’), set the format to convert to, and finally, save the file “as” filename.jpg<\/strong>.\u00a0 Converting each image takes about five to six “manual” steps, depending on how you opened the source files and where you save the destination files.\u00a0 If you had a folder with 100 images, it becomes tedious repetition.\u00a0 There are better ways to do this<\/strong>.<\/p>\n You could create a batch process or “macro” in your graphics app that lets you record the individual steps performed on a single image, and then point the macro at a folder of source images and a folder to save the converted images.\u00a0 Photoshop has “batch processing” that handles this fine.\u00a0 Other programs (such as THE GIMP) are “scriptable” but some knowledge of Python is probably a must.<\/p>\n So we now have a way to convert images en masse with a GUI app, but is it the most efficient way? Is it reusable? It is reusable but you’ll probably have to reset the macro\/batch settings if your source and destination folders change the next time you had to convert a lot of images.<\/p>\n Is there a quicker way to accomplish the same thing<\/strong> more or less?\u00a0 There is, in my opinion, a better way perform mass image conversion in a predictable, reliable way.\u00a0 It requires the command line terminal and an application known as “ImageMagick<\/strong>“.<\/p>\n