jStrip 3.3 Build 00305 Crack With Activation Code
jStrip is a program that you can use to reduce the size of your images (in the JPEG format), in order to free up space.
The interface of the application is based on a small window in which you can select a folder to get started (batch processing is supported).
Download jStrip Crack
| Software developer |
David Crowell
|
| Grade |
2.3
2145
2.3
|
| Downloads count | 23731 |
| File size | < 1 MB |
| Systems | Windows All |
But in the "Options" menu, you can change this mode, so you can individually select files.
In addition, you can enable jStrip to keep the original file date, clear the read-only bit, use idle priority and to automatically check for updates at startup.
The application can also log errors, successful or unchanged files, convert underscores to spaces, trim leading and trailing spaces from the filename, as well as force to lowercase or uppercase.
Furthermore, the images can be significantly reduced if you remove comments, the JFIF header, EXIF information, Photoshop IRB, ICC profile, Adobe APP14 tag and XMP data.
After the task is completed, you can check out the total number of processed and renamed files, successes, failures, files which do not require changes, as well as processed and saved bytes (along with elapsed time).
We can clearly see that jStrip Serial is simple to use, although some information found in the "JPEG" section could only be understood by users with some experience in this area. The program requires low system resources, includes a well-drawn help file with snapshots, quickly finishes a task and didn't pop up any errors during our tests.
Evidently, some may argue that jStrip lacks some important functions. For example, it doesn't provide you the possibility of creating image backups, just in case you would like to change your mind about the modifications you've made.
All in all, jStrip does a very good job at reducing image sizes, taking into account the fact that it doesn't interfere with the picture's quality. Of course, changes can be better observed when dealing with a large quantity of images. We strongly recommend this tool to all users.