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For evaluation purpose, Kernel for OST to PST provides trial/ free OST PST software that works like licensed version but saves 25 items per folder in different file formats. Prior downloading check system requirements.

Kernel for OST to PST is a specialized OST recovery tool developed by experts in order to perform precise recovery of corrupted OST files and to convert the recovered files in desirable format. It is an ideal OST to PST converter.

Kernel for OST to PST is a professional and reliable OST to PST mover email migration tool, which converts Outlook OST file to PST file without any hassle.

OST-PST conversion can be easily done with Kernel for OST to PST, which is reliable and most recommended third-party tool. It can be evaluated by using its trial version that works like licensed one but does not save more than 25 items per folder.

Kernel for OST to PST is a reliable third-party tool that precisely deals with Outlook OST issues and converts them to PST and other file formats as per user’s choice. This tool is often recommended to system administrators to get rid of OST problems

For Outlook OST repair Kernel for OST to PST is often recommended because it has been designed keeping in mind the issues that user often faces. For trial purpose, users are advised to install the evaluation version of the tool.

Outlook OST file appears inaccessible due to their damaged condition. To make such files accessible Kernel Data Recovery has designed a tool Kernel for OST to PST of utmost importance. For trial purpose user can download its evaluation version.

Kernel for OST to PST has the adequate capability to regenerate corrupt OST files damaged due to OST synchronization errors. This excellent OST to PST conversion software is compatible with MS Outlook 2016 and MS Exchange Server 2016 platforms.

Kernel for OST to PST is a reliable OST to PST conversion tool, which is also available in free trial version. This OST 2 PST freeware allows you to effortlessly migrate your multiple OST files at once to attain faster and efficient data migration.