Top 10 Best Recently Deleted Files Recovery Software of 2026

Ontrack EasyRecovery targets deleted data scenarios where the filesystem journal and directory tables no longer point to the data. The recovery engine can parse filesystem structures and use file signature carving to rebuild recoverable files when intact metadata is unavailable. The product supports repeatable jobs by capturing configuration choices and preserving a recovery session context that can be re-run on the same source. Export and preview of recovered items are central to validating results before copying data back to production storage.

A key tradeoff is throughput and storage cost during deep scans because signature carving increases read volume and temporary workspace usage. Teams typically use it after accidental delete events on endpoint drives, USB storage, or small server volumes where filesystem metadata has degraded but raw sectors still contain recoverable payloads. Governance control is strongest when recovery tasks must be run under defined access and audit visibility instead of ad hoc technician actions.

Disk Drill fits teams who need endpoint-level recovery without building recovery pipelines or automations. The recovery data model emphasizes file discovery during a scan, then selection for restore, with preview and path reconstruction to support operator decisions. The automation and API surface is absent in practice for governing or provisioning recovery jobs, so operations depend on interactive runs on the host.

A key tradeoff is the lack of admin governance controls such as RBAC and audit logs tied to scan and restore actions. It works best for single-workstation events like accidental deletion or emptied recycle bins on a known disk, where an operator can run one scan, preview results, and restore to a different drive.

Stellar Data Recovery targets recently deleted files by letting users recover after deletion events using directory and file-level views rather than only raw image carving. The workflow separates selection, scan, and restore steps, which reduces accidental restores when multiple candidates exist. Preview and filtering support throughput during repeated restores across folders with similar names. For integration depth, the product emphasizes recover-result handling that can be reused across administrative procedures.

A key tradeoff is that scan time and recover accuracy depend on how the deleted file data still exists on the target volume. Fast deletes on SSDs with trimming or heavy disk churn can reduce recoverable fragments and force lower-confidence restores. A good usage situation is restoring a small set of deleted office documents from a shared workstation where directory context and preview can confirm the correct versions.

EaseUS Data Recovery Wizard focuses on recently deleted file recovery on Windows, using disk scanning workflows that target lost partitions and file signatures. It supports recovery from drives formatted with common Windows file systems and can recover across multiple scenarios like accidental deletion and emptied recycle bin.

The core experience is file discovery via scan results and preview before restore, which reduces mis-recovery risk. The automation and admin surfaces are limited, with no documented API, schema, RBAC, or audit log controls for governance workflows.

PhotoRec performs recently deleted file recovery by scanning raw storage media and reconstructing recoverable files without relying on filesystem metadata. It uses a file-signature based data model, which supports multiple partition types and works across many card formats and disk devices.

The recovery workflow is driven through a command line interface with configurable scan targets, file type filters, and output control. Automation is possible via scripting the CLI, but PhotoRec exposes limited API surface beyond its command parameters.

Recuva fits scenarios where recently deleted files still exist on a drive and can be recovered with selective scanning. The tool offers file recovery across multiple storage types and includes a filterable scan workflow to narrow results by file type and location.

Recuva’s output focuses on recovered file reconstruction rather than a recoverable data model for downstream automation. Integration depth and API surface are limited, so governance and automation typically remain manual.

MiniTool Power Data Recovery targets recently deleted file recovery with a scanning pipeline focused on deleted partitions, file system structures, and recoverable remnants. The product’s core capabilities include deep scans, specific recovery for removable media, and preview-oriented workflows that map results to original file names and paths.

It supports multiple file system types and recovery of common office and media formats using signature and structure-based extraction. Recovery output is organized into a recoverable files view that can be filtered by file type and location to reduce post-scan sorting.

DMDE targets recently deleted file recovery with deep on-disk scanning, including raw partition and filesystem traversal. The data model exposes drives, partitions, and directory structures, and it supports filesystem-specific options during recovery preparation.

Automation and integration are limited to file-based workflows rather than a documented API, so orchestration typically happens outside DMDE. Administrative governance features like RBAC and audit logs are not part of the core feature set.

GetDataBack performs recently deleted file recovery by scanning raw disks and reconstructing file system structures during recovery runs. It supports multiple data models by handling FAT and NTFS variants, then surfacing recovered items through a browsable view.

Recovery behavior is driven by scan configuration options such as scan mode, signature heuristics, and output selection criteria. GetDataBack focuses on workstation-level recovery rather than enterprise-style integration, so automation depth and API surface are limited.

Wise Data Recovery targets recently deleted files recovery with a Windows-first workflow for removed documents, photos, and media. The product centers on disk scanning, file recovery previews, and rebuildable recovery results when partitions are damaged.

Wise Data Recovery treats file discovery as an indexable process, then exports recovered items to a chosen location for controlled restores. Integration depth is limited, with no documented schema, provisioning model, or automation API surface for governance workflows.