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Parallels .pvm file corrupt recovery tool supports recovery from corrupt .pvm or .hdd virtual disk image created with Parallels desktop for Mac and VirtualBox. The tool also provides Parallels file recovery from corrupted GPT or MBR partition tables

Exchange Server recovery software is an effective tool to recover corrupt Exchange database files (EDB and STM), without making any alterations to its data. The recovered data can be then saved in PST files or to live Exchange Server.

PCTuneUp Free File Recovery, a professional file recovery tool, will give you final solution. With around 10 years of data recovery experience, it manages to get your data back from any type of media and data loss situation.

The RecoverBits Shift Delete Recovery tool helps users to Recover Files Deleted by Shift+Del key. This tool perform Data Recovery Windows 10, Windows 8, Windows 7 after Shift Delete without any issues.

EDB mailbox recovery tool is a robust utility that can handle all Exchange corruption or damage issues by restoring the data along with the hierarchy without incurring any losses. This tool can recover data from any version including Exchange 2016.

With advance Exchange EDB recovery tool users can effortlessly recover EDB to PST and can get back whole Exchange data. Microsoft EDB to PST recovery tool easily retrieve mailbox from Exchange of all versions and makes data readable, as it is.

Get BKF Recovery Software to repair windows backup file and recover windows backup files along with email properties- email digital image, picture, document, personal document, music file, video and other items etc

By taking EDB to PST Recovery Tool securely makes Exchange file useable into outlook file. It is safe solution for exchange EDB Recovery. Use EDB Converter Tool perfectly convert EDB to PST File without difficulty

RecoveryFix for Outlook is entirely responsible for effective MS Outlook file recovery. For precise recovery and repair, the tool is embedded with powerful algorithm that takes care of entire process without data loss.