R-Studio (Windows, Mac, and Linux)

This comprehensive data recovery software solution is aimed at more advanced users who will appreciate its wide options and strong capabilities.


Whereas most data recovery tools on the market are aimed at normal home users, R-Studio is primarily aimed at experts who are already familiar with the ins and outs of data recovery. It supports all frequently used file systems and partition layout techniques, and it can even manage damaged or deleted partitions.


Instead of guiding customers through the recovery process step by step, R-Studio allows them to launch several data recovery operations in independent tabs at the same time. Files recovered may be sorted according on their extensions, creation time, modification time, access time, and other factors. Many supported file formats may be previewed, and you can inspect files using the built-in hex editor to check their integrity or conduct partial recovery.

Make sure you obtain the correct version of R-Studio when purchasing it. The cheapest version of R-Studio ($49.99) can only recover data from the FAT, exFAT, and Ext2/3/4 file systems. The $79.99 version is required to recover data from NTFS, ReFS, HFS+, APFS, HFS, and UFS.


Pros:

  • Advanced features for data recovery processionals
  • Available as a bootable ISO image
  • Disk sanitization feature

Cons:

  • Not suitable for non-technical users
  • Doesn’t display results during scan
  • Can preview only a few file formats

Versions / Licensing:

  • R-Studio FAT: $49.99
  • R-Studio NTFS: $59.99
  • R-Studio: $79.99
  • R-Studio Network: $179.99
  • R-Studio Technician: $899.00

System requirements: Windows 10/8.1/8/7/Vista/XP/2000 or Windows Server 2019/2016/2012/2008/2003 / Mac OS X 10.5 Leopard or newer / Any kernel 2.6+ Linux distribution capable of installing .rpm or .deb packages

Supported languages:
English, French, Spanish, German, Russian, Portuguese, Traditional and Simplified Chinese, and Japanese

Supported file systems:
NTFS/ReFS, FAT/exFAT, Ext2/Ext3/Ext4, HFS+/APFS/ HFS/UFS


Download: https://www.r-studio.com/

Photo: handyrecovery
Photo: handyrecovery
Video: RStudio

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