R-Studio 7.3.191246


R-Studio is powerful and cost-effective data recovery software for Apple lovers. R-Studio for Mac is specially designed for Mac OS X environment and recovers files from HFS/HFS+ (Mac), FAT/NTFS (Windows), UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD/Solaris) and Ext2FS/Ext3FS (Linux) partitions. It also recovers data on disks, even if their partitions are formatted, damaged or deleted. Additional file recovery algorithm increases the quality of file recovery and recovers files not recognized in file system metadata.

FEATURES

  • Direct access to the system disk even when Apple’s System Integration Protection is enabled.
  • R-Studio for Mac recovers files:
    • Removed by virus attack or power failure;
    • After the partition with the files was reformatted, even for different file system;
    • Deleted from computer;
    • When the partition structure on a hard disk was changed or damaged. In this case, R-Studio for Mac can scan the hard disk trying to find previously existing partitions and recover files from found partitions.
    • From hard disk with bad sectors. R-Studio for Mac can first copy the entire disk or its part into an image file and then process the image file. This is especially useful when new bad sectors are constantly appearing on the hard disk, and remaining information must be immediately saved.
    • Recovers files on damaged or deleted partitions.
    • Hardware RAID, volume set, and stripe set support.
    • Mass file recovery support.
  • Support for:
    • APM, Basic and GPT support. R-Studio for Mac supports all three partition schemes used to define the low-level organization of data on disks formatted for use with Macintosh computers.
    • Apple software RAIDs, CoreStorage, File Vault, and Fusion Drive (APFS/HFS+);
    • Windows Storage Spaces (created by Windows 8/8.1 and 10/Threshold 2/Anniversary/Fall Creators updates);
    • Dynamic disk support including unsyncronized Windows software RAIDs.
    • Linux Logical Volume Manager (LVM/LVM2) and mdadm RAIDs.
    • Intel Software RAIDs.
    R-Studio for Mac can automatically recognize and assemble the components of these disk managers even if their databases are slightly damaged. Their components with severe corrupted databases can be added manually.
  • Support for specific file system features:
  • Recovers data forks, resource forks, finder information, extended file attributes and UNIX file system permissions. Support for HFS+ compressed files.
  • Advanced APFS recovery: support for encryption.
  • Processing of the HFS+ journal to increase a number of successfully found files.
  • Recovers compressed, encrypted files and alternative data streams from NTFS partitions.
  • Recognizes localized names.
  • Recovery of names and paths for files deleted to Recycle Bin and Trash.
  • In-depth file analysis:
    • Advanced file search and mask options.
    • Estimation of file recovery probability.
    • Detailed file information. Comprehensive file information in the Technician version: specific file system info, overlapping files, disk regions, etc.
    • File recovery lists for mass file recovery. File recovery lists with comprehensive file information in the Technician version.
  • Scan process visualization. While scanning an object, R-Studio Mac graphically shows items that have been found, including files of known types, APFS/HFS/HFS+ volume headers, APFS nodes, HFS/HFS+ BTree+ nodes, FAT and NTFS MFT records, boot records, etc.
  • Host OS: macOS 13 Ventura, macOS 12 Monterey, macOS 11 Big Sur, macOS 10.15 Catalina, macOS 10.14 Mojave, macOS 10.13 High Sierra, macOS 10.12 Sierra, OS X 10.11 El Capitan, OS X 10.10 Yosemite, OS X 10.9 Mavericks, OS X Mountain Lion 10.8, OS X Lion 10.7, OS X Snow Leopard 10.6, OS X 10.5 Leopard and OS X Server 10.5 Leopard running on a computer with Apple M1/M2 chip, Intel, PowerPC G5 or PowerPC G4 processors.

What's New

Version 7.3.191246:

  • Release notes were unavailable when this listing was updated.

Requirements

macOS 11 or later
Apple Silicon or Intel Core processor

Screenshots


Download File

Size: 50 MB

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