Mac Data Recovery V5 recovers deleted files on your Mac


Stellar Data Recovery, a popular name in the field of data recovery software and services have announced the launch of an improved and more efficient version of its Stellar Phoenix Mac Data Recovery V5 software. For those not in the know, Stellar Phoenix is one of the premier software that has the potential to recover intentionally or accidently deleted files, even after emptying the trash. The software does this reversal process with the original names of all the files intact.


Today almost all our professional and personal information is stored digitally in multiple media, such as hard drives, CD-DVD, memory cards and external storage devices. With enormous use of digital data, problems of data loss and errors are common. Our new version of Stellar Phoenix Mac Data Recovery is a comprehensive tool to recover back your datain case of data loss. “said Mr. Sunil Chandna CEO, Stellar Data Recovery, while announcing this upgraded version of their product. 







This new version of Stellar Phoenix is packed with thirty percent faster scanning (using their dedicated scanning engine), supports optical media recovery, on the fly media detection, enhanced file tree view and supports large (with a capacity greater than 2 Terabytes) hard drives as well. Additionally, with their new Raw Recovery feature you can recover your data in case of severe corruption of the files. Mac data recovery allows you to recover files, even if your Mac fails to start up as it comes with its own system start up disk. This Stellar Phoenix software version comes with a ‘try before buy’ version and is compatible with Lion, and the other earlier operating systems as well.


Stellar Phoenix Mac Data Recovery V5 is available for immediate download and is available at a starting price point of Rs.4,300. More details about this product and their other offerings are available out here. Irrespective of whether you are a Mac or Windows user, which software do you guys currently use to recover your data? Let us know in the comments section below.