
Tidy Up 是一个属于深度用户的重复文件查找和磁盘清理工具。 它是市场上唯一的全功能重复文件清理工具, 让您高效清理电脑中的垃圾文件。
Tidy Up 5 is completely re-engineered, modern, efficient and totally customizable. Below are just a few of the major new features.
Supports Lightroom: it is now possible to search and collect duplicates directly in the Lightroom library.
Multiple libraries support: capability to search in the supported apps (Lightroom, Photos, iTunes, Mail, Aperture and iPhoto) by comparing multiple libraries of the same app with multiple libraries of different apps of the same kind (for example 2 Photos libraries and 3 Lightroom libraries).
Added the support to hard links: search for hard links or exclude them from the search and replace the found items with hard links.
Search for unique items gains strength: it’s now possible to use multiple criteria to search for unique items (items that have no duplicates).
Possibility to handle the found items at the administrator level: just allow the installation of the privileged tool and do the cleaning job. This is particularly useful to clean up old Time Machine backups.
New, completely redesigned interface, easy to use and powerful.
Tidy Up 5 organizes the result separating the found items by file kinds, (music, images, PDFs, folders, etc.). It's completely customizable and allows you to add more file kinds at your choice. The new organization is based on the tab separation and each tab has its settings, such as smart boxes, separation by searched sources, view by grid or list etc.
The result is shown by grid or list. The items are divided by kind and each tab kind can be customized.
For a quick and easy organization, found items can separated through the use of "Smart Boxes".
For example, smart boxes can be used to separate the items belonging to a specific album, playlist or mailbox
of the supported app (i.e. Photos, iTunes, Mail, etc.).
The removing view has many features that include:
- Remove the marked, unmarked or all items;
- Replace the removed files with hard links, symbolic links or aliases;
- Move or copy the items to a specific location instead of deleting them.
Moreover, it is always possible to restore the removed items in case a mistake was made.
It is also possible to save the result to continue the cleaning job at a later time.
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