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raid_recovery review

Free#18 of 28 in RAID Data Recovery Software

A focused, free Linux toolkit for reconstructing RAID5 disk images.

7.7/10Editor score
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

raid_recovery is an open-source set of command-line Python utilities for recovering RAID5 data from disk images. It is aimed at technically capable Linux users working with low-level storage tools, including cases where a RAID superblock has been deleted or member-disk ordering is unknown. The workflow centers on disk-image recovery rather than general-purpose file recovery, and its narrow scope makes it most relevant to specific RAID5 reconstruction tasks.

Its standout capability is the combination of detection, validation, ordering, and reconstruction tools. raid_recovery can detect RAID page sizes, identify disk images belonging to RAID5 arrays, check parity, determine image ordering, and reconstruct RAID5 data. It also supports split disk-image files, which fits workflows where array members are stored across separate image segments. The virtual RAID5 drive provided through an NBD plugin adds a practical Linux storage interface for working with a reconstructed array.

The trade-off is focus. raid_recovery supports RAID5, Linux, and EXT4, so it is not a broad RAID recovery suite for different array levels, operating systems, or filesystems. Its command-line Python approach also suits users comfortable with disk images and Linux storage tooling more than those seeking a guided graphical workflow. Choose it for free, open-source RAID5 image reconstruction on Linux; choose a broader recovery product when you need support beyond RAID5, EXT4, or this low-level workflow.

raid_recovery pros and cons

  • Where it wins
    • Detects RAID page sizes and member-disk ordering
    • Checks parity and reconstructs RAID5 data
    • Exposes recovered arrays through a virtual NBD drive
  • Where it doesn't
    • Supports RAID5 only
    • Runs on Linux with EXT4 filesystem support
    • Requires command-line and low-level storage knowledge

raid_recovery fact sheet, pricing and score →

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