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R-Studio 9.5 Build 191603 – Complete Data Recovery

R-Studio 9.5 Build 191648 is a trial data recovery software designed for professional file restoration from damaged drives and deleted partitions. The 68.72 MB installer supports Windows 11, 10, 8, 7, macOS, and Linux systems, making it suitable for users needing advanced recovery capabilities for NTFS, FAT, exFAT, and Linux file systems.

What’s New in Version 9.5 Build 191648

  • Enhanced file enumeration with new Show Files (Advanced) mode for slow and damaged disks
  • Improved NTFS analysis for volumes with large numbers of hard links
  • RAW image support added to built-in file viewer for multiple formats
  • Better error handling for access, long file names, and other recovery issues
  • Updated localizations for European languages

Professional Data Recovery Software

RStudio handles complex data loss scenarios where standard recovery tools fail. The software works with deleted partitions, formatted drives, virus-damaged systems, and corrupted Master Boot Records with equal efficiency.

Supported File Systems:

  • Windows: NTFS, NTFS5, ReFS, FAT12/16/32, exFAT
  • Linux: Ext2FS, Ext3FS, Ext4FS
  • BSD: UFS1, UFS2
  • Mac: HFS, HFS+, APFS

Users can recover data from hard drives, SSDs, memory cards, USB drives, and even reconstruct damaged RAID arrays. The built-in hex editor provides direct disk access for advanced users performing forensic analysis or manual data extraction.

Advanced Recovery Features

R-Studio includes powerful tools beyond basic file recovery. Create disk images for safer recovery operations without risking further damage to failing drives. The software handles encrypted and compressed files while maintaining data integrity throughout the recovery process.

Key Capabilities:

  • Deep scan technology locates files even after multiple format operations
  • RAID reconstruction automatically assembles broken arrays
  • Remote recovery over network connections
  • S.M.A.R.T. monitoring displays drive health status
  • Preview function verifies file recoverability before saving

The program supports both quick scans for recently deleted files and comprehensive deep scans that analyze entire disk surfaces. Results display in familiar Windows Explorer-style interface with sorting, filtering, and search functions. Users managing multiple recovery projects will appreciate batch processing capabilities and session saving features.

For professionals handling client data, R-Studio Technician edition adds commercial licensing and advanced networking features. Home users benefit from the same powerful engine with simpler licensing terms suited for personal use.

Technical Specifications

Download R-Studio 9.5 Build 191648

Windows Downloads

macOS Downloads

Linux Downloads

Note: Demo version limits recovery to 1024KB per file. Full license required for complete file restoration. Consider alternative data recovery options if budget is a primary concern.

R-Studio Video

Frequently Asked Questions

Is R-Studio free to download?

R-Studio offers a free demo download that allows you to scan drives and preview recoverable files up to 1024KB in size. To recover files larger than 1MB, you need to purchase a license starting at $49.99 for the standard edition. The demo is fully functional for testing recovery capabilities before purchase.

What are the system requirements for R-Studio?

R-Studio requires Windows 11, 10, 8, or 7 (64-bit recommended), macOS 10.13 or later, or Linux distributions. Minimum 1GB RAM is needed, though 4GB or more is recommended for large drive scans. The software needs approximately 100MB free disk space for installation plus additional space for recovered files.

How do I download R-Studio for Windows 11?

Visit the official R-Studio website, click the Windows download link for version 9.5 Build 191648 (68.72 MB), run the installer, and follow the setup wizard. The software is fully compatible with Windows 11 including 64-bit systems. After installation, launch R-Studio and select the drive containing lost data to begin scanning.


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