Recuva - An Easy Way to Recover Deleted Files

Recuva is effective software for recovering accidentally or intentionally deleted (lost) files on computer hard drives, as well as on removable media.

Recuva free download


Recuva is simple but effective data recovery software. It doesn't matter where the files were or in what format. The tool automatically displays all lost objects. You only need to specify the disk and the type of analysis. Supported file systems include ntfs, fat, fat32, exfat, etc.

Recuva free download

Recuva will help you recover deleted files from the Recycle Bin, individual folders, and restore information that was on removable media, portable drives: ext4, ext3 partitions from digital cameras, mobile phones, etc.

At first glance, a basic deleted file recovery software is capable of bringing order even to a superficially formatted hard drive. So with its functionality, recovering accidentally deleted files won't be too difficult. But that's not all. Recuva can not only recover deleted files but also permanently delete unnecessary information and remnants of found files.

Please note that the sooner you start using Recuva, the more likely you are to recover all your files. You should not install the application on the same drive where the data was deleted. Overwrites may occur in the clusters, and your accidentally deleted photos, unsaved documents, or other damaged data may disappear forever.

Recuva Download Link

Lesser-Known Features of Recuva:

Folder Structure Recovery

Recuva not only finds individual files but also restores the original tree-like folder structure, including nested subfolders. This is crucial when working with projects where the organizational hierarchy is important.

Advanced MFT Handling

The program performs a deep analysis of the NTFS Master File Table, recovering data even when the MFT is partially damaged. This method allows file recovery when other tools are powerless.

Virtual RAID Reconstruction

Recuva allows you to create virtual RAID arrays from individual disk images, enabling data recovery from damaged RAID systems without the need for physical reconstruction.

Cluster Analysis

A sector-by-sector scan mode with manual clustering parameter settings allows file recovery in the most challenging cases where standard methods fail.

Metadata Recovery

Preserves not only file contents but also all attributes: creation and modification timestamps, NTFS access permissions, and attributes of hidden and system files.

Extended Signature Database

The database contains over 2000 unique file signatures, including specialized CAD system formats, scientific data, and rare media formats unavailable in other programs.

Email Recovery

Specialized algorithms recover not only Outlook PST and OST files but also preserve the internal structure of emails, attachments, and system folders.

Support for Exotic File Systems

Through a plugin architecture, it supports ReFS, HFS+, Ext2/3/4, and other niche file systems used in specialized devices.

Recovery from Memory Images

Analysis of RAM dumps and page files allows extraction of temporary data, cached passwords, and unsaved documents that were never written to disk.

File Erasure:

Method 1: Simple One-Pass Overwrite

This method performs a single overwrite of sectors containing deleted data. The erasure principle is based on filling sectors with zeros (0x00) or random data. In the Recuva interface, this method is labeled as Simple overwrite (1 pass). The technical implementation involves direct access to the disk clusters where the file data was previously stored, followed by their complete replacement. This approach effectively prevents data recovery by standard means and software tools but may be vulnerable to specialized hardware analysis methods.

Method 2: DoD 5220.22-M Standard (3 passes)

The algorithm complies with the US Department of Defense standard and implements a three-stage overwrite process. The erasure principle consists of sequential execution: first pass - writing zeros (0x00), second pass - writing ones (0xFF), third pass - writing random data followed by result verification. In Recuva, this method is activated via the secure deletion settings. The technical feature of this method is its combined approach, which eliminates the possibility of data recovery even in the presence of residual magnetic traces on traditional hard disk drives.

Method 3: NSA R7 Method

Standard deletion in Windows only marks data as deleted in the MFT, leaving it physically intact. For guaranteed information destruction, Recuva implements the NSA R7 algorithm, designed for magnetic drives. The method includes seven overwrite cycles: sequentially filling sectors with ones (0xFF), zeros (0x00), two pseudo-random sequences, and complementary patterns followed by verification. Multiple alternations of deterministic and random patterns prevent data recovery, including methods of analyzing residual magnetization. The algorithm is not used for solid-state drives due to architectural features of wear-leveling, which require the use of the ATA Secure Erase command.

Method 4: Gutmann Algorithm (35 passes)

Developed by Peter Gutmann, this method uses 35 overwrite cycles with different data patterns. The erasure principle is based on using specially designed sequences intended to neutralize various encoding technologies used in older drive models. In Recuva, this method is available through advanced secure deletion settings. The technical implementation involves alternating patterns specifically designed to counter the possibilities of microscopic analysis of magnetic surfaces. For modern drives, this method is considered excessive but remains relevant when working with legacy equipment.


Features of Recuva

  • Recovers information from the Recycle Bin, flash drives, memory cards, and other devices;
  • Supports a large number of memory cards: Secure Digital, MemoryStick, Sony Memory Sticks, Smart Media, and many others;
  • Recovers damaged and formatted disks after software failure;
  • Manages all types of deleted files, from images to music and video;
  • Completely deletes unnecessary information without the possibility of recovery.

Benefits of Recuva

  • Intuitive and simple user interface in English;
  • Smart analysis of lost files;
  • Deep scanning of the file system;
  • Convenient search by title, as well as by file extension;
  • Recovers deleted files from Windows 10 and 11, compatible with older Windows XP and Vista.

Disadvantages

  • Only works on Windows, cannot recover files from Mac OS;
  • Low probability of repairing damaged file drives.

How to Use Recuva

When Recuva starts, it offers the user the ability to customize the search options for the data they need.

  • In the first window, select the type of data, the same format - images, video, music, files, emails, Word and Excel documents, or files of all types. Click Next.
  • The next window allows you to choose where the files are located: on a memory card or other removable media, in documents, in the Recycle Bin, or in a specific location on the disk. If you don't know where to look for a file, select I'm not sure.
  • Recuva is now ready to search. Before starting, you can enable the deep scan function, but it will take longer. It is recommended to use this function when the search is unsuccessful. Click Start.
  • In front of you is a list of found data. A green circle next to the name means the file is ready to be recovered, a yellow one means the file is damaged, and a red one means the file cannot be recovered. Check the box next to the desired file and click Recover.
  • Select the folder on your hard drive where you want to save the data.

Recuva's History

The Idea's Origin and Developer

Recuva was created by the British company Piriform Ltd., founded in 2004. The name Piriform comes from the Latin word "pirus" (pear), which is reflected in the company's logo. The founders were programmers who aimed to create lightweight, efficient, and free software for everyday users. Before Recuva, they had already created the popular program CCleaner.

Reason for Creation

By the mid-2000s, CCleaner had become a popular system cleaning tool. However, useful files were sometimes accidentally deleted during cleaning. Users constantly asked on forums how to recover files deleted by CCleaner. The Piriform team recognized the need for a simple and accessible data recovery tool. Thus, the idea for Recuva was born.

Technical Foundation

Recuva is written in the C++ programming language, which ensures high performance for disk operations, direct access to Windows API, and compact executable files. The interface was created using the wxWidgets library.

First Versions (2007-2008)

The first version of Recuva was released in November 2007 as free-for-non-commercial-use software. It could recover files from hard drives, memory cards, and USB drives, featured simple and advanced scan modes, a file status indicator, and a secure file deletion function.

Significant Updates (2009-2013)

In 2009, the Deep Scan feature was introduced, which searched for files by their signatures directly in the disk clusters. Subsequent versions added support for 64-bit systems, improved the interface, added a virtual folder for displaying files, and enhanced work with network drives.

The Avast Era and Continued Support

In 2017, Piriform was acquired by Avast Software. After this, the pace of major updates slowed, with primary efforts focused on maintaining compatibility with new Windows versions and fixing vulnerabilities.

Reasons for Popularity

Recuva's success is attributed to its simple interface, a free version without restrictions, effective data recovery capabilities, portability, and user trust in the Piriform brand, known for CCleaner.

Recuva Updates:

  • Improved compatibility with Ext4 and Ext3 file systems.
  • Enhanced scanning of Fat32 partitions.
  • Optimized secure overwrite function in Windows 10 and 11.
  • Improved detection of disks and partitions.
  • Enhanced keyboard control in Recuva.
  • Minor interface improvements and bug fixes.

Download from the official website link:

Recuva Download Link

If you want to recover your files right now, download Recuva from the link above.


Improving the Recovery Process by Specifying the File Location

In Recuva, to make the process of scanning deleted files as efficient as possible, you need to specify the location of these files before they are completely deleted from the computer.

Deep Scan

This option is disabled by default in Recuva because enabling it will take much longer to scan deleted files. However, enabling this option significantly increases the chances of finding files that have been deleted after a long period of time.

Selective Recovery

As a result of the search for deleted files, Recuva will display a list of found items. You should carefully review this list and check the boxes of the files that will be restored.

Recuva Features:

  • Recuva works very well with SD cards and flash drives. You can connect the memory card to your computer and work with it like a regular hard drive.
  • The "Deep Scan" option increases the chances of finding hard-to-reach files.
  • Recuva supports FAT/NTFS, Ext 3-4, and all operating systems.
  • Recuva is free - you are not asked to purchase a license when saving recovered files. There is no limit to the number of files you can save, nor are there any limitations in functionality.

System Requirements for Installing Recuva

Recuva is not demanding on system resources: any Windows operating system (XP, Windows 7, versions 10 and 11), 25 MB of free disk space. By default, the program may ask you to install additional options to increase usability, such as the Yahoo toolbar. But you can opt out of this.

Recuva's algorithm:

The initial phase, known as volume scanning, is initiated by parsing boot sectors and the master file table (MFT for NTFS or FAT for eponymous systems). Recuva decomposes these structures, identifying records marked as unallocated clusters. A key aspect is the analysis of binary patterns corresponding to file signatures (also known as "magic numbers") in areas not associated with current inodes or directories. For each detected artifact, a reconstruction of its extents—sequences of logical blocks (LBA) constituting the file body—is performed.

When working with file systems that use journaling (e.g., NTFS), the utility attempts to access the transaction log ($LogFile) to verify metadata integrity and apply rollback procedures for uncommitted operations. This allows for the recovery of a more relevant version of the file descriptor.

In scenarios where the File Allocation Table (FAT) or MFT has undergone significant fragmentation or damage, a heuristic module based on signature carving is activated. The algorithm identifies file headers and footers by their unique signatures, disassembling the sector stream to extract the binary contours of the object. This process, known as boundary-aware carving, is critical for recovering fragmented files when extents are scattered across different areas of the volume.

To increase the probability of successful reconstruction, advanced techniques are applied, such as the analysis of residual magnetic traces (provided that the sectors have not been subjected to multiple overwrites) and the use of data redundancy in ECC blocks of modern NAND chips. Recuva is also capable of differentiating between logical deletion (marking clusters as free) and physical sector damage, remapping bad blocks via the ATA SMART interface.

Thus, Recuva's operating mechanism represents a multi-level pipeline that combines methods of file system analysis, signature carving, and low-level work with hardware features of storage devices to achieve maximum efficiency in recovering lost digital artifacts.


Real-World User Examples

Recovering Video Game Save Files:

After formatting an external hard drive, a user was able to recover an archive of save files for the game Morrowind. Recuva found the files by their characteristic .ess extensions and restored hundreds of hours of gameplay progress.

Restoring Original Photos After Formatting:

A photographer accidentally formatted a memory card containing RAW photos. By creating a disk image of the memory card and using Recuva's Deep Scan, they managed to restore the original photos by detecting specific file signatures.

Recovering a Previous Version of a Document:

After saving a new document over an old file, a user was able to recover the previous version. Recuva showed several file versions with the same name, one of which turned out to be the needed revision.

Finding a Project Backup After a Crash:

After a video editor crashed, an auto-saved project copy was found by searching for the .prproj extension. Recuva discovered temporary files, including the last working version of the project.

Extracting a Password File from a Browser:

After resetting the browser settings, a user recovered the Login Data file containing saved passwords. Recuva helped find an old copy of the file for subsequent data import back into the browser.

Recovering Data from a Deleted Disk Partition:

When a disk partition was accidentally deleted during an OS installation, Recuva, using its scan for unallocated space mode, was able to recover files from the missing logical drive.

Restoring a Music Collection from a Portable Player:

After a firmware update on an audio player, a user recovered a unique collection of audio tracks. Recuva treated the player as a physical device, locating the deleted files.

Recovery from an Unrecognizable Drive:

When a flash drive's file system was corrupted and it was detected as an unknown device, Recuva's Deep Scan allowed it to read data sector-by-sector and restore working documents.

Recovering an Email Database:

After a mail client and its database files became corrupted, it was possible to find older, deleted versions of the .tbb files. Recuva restored complete file copies to resume working with the email.

Finding an Archived Crypto Wallet Backup:

On a formatted SSD drive, a user found fragments of a crypto wallet's wallet.dat file. Recuva detected the data by its file signatures, allowing them to restore access to the cryptocurrency.

© 2019-2025 Recuva - Free Download to Recover Deleted Files.
English | Magyar | Tiếng Việt | Bahasa Indonesia | Español | 한국어 | Lietuvių | Deutsch | Polski | Português | Français | 日本語 | Italiano | Română