Data Recovery and Disk Utilities Forum @R-TT

Atom-level reconstruction is a known direction, but it is usually driven by the moov sample tables rather than generic AI. For MOV/MP4, stco/co64 chunk offsets, stsc, stsz and stts tell you where each sample lives; if moov survives, you can reassemble fragmented mdat by following those offsets instead of requiring contiguous extents. If moov is missing or damaged, validation is much harder—check atom sizes and bounds, sample counts, offset consistency and decoder playback. R-Studio/UFS mainly rely on filesystem extents and carving, so deeply fragmented files often need manual or scripted sample-table work. Study MP4 box parsing and existing repair tools.

Hello everyone,

I’m working on a challenging data recovery case and wanted to share my findings and get feedback from the community.

I had a 4TB exFAT drive containing Sony 10-bit MOV video files that were heavily fragmented. I attempted recovery using several professional tools, including R-Studio, UFS Explorer, and others, but none of them were able to reconstruct the video files due to the fragmentation level.

After this, I started experimenting with my own built local Ai agent recovery approach as a technical exercise.

The idea is not traditional file carving, but a structure-aware reconstruction process focused on MOV container internals.

At a high level, the workflow:

[b][list]Sector-level scanning of the drive with persistent mapping
Detection of MOV/MP4 structural patterns
Identification of container atoms (moov, mdat, etc.)
Validation of fragmented atoms before reconstruction
Reassembly of video streams based on structural consistency
Iterative verification of reconstructed outputs[/list][/b]

This approach allowed me to recover a significant portion of the footage that standard recovery tools were unable to reconstruct.

I’m still testing and refining the method, especially around correctness validation and edge cases in highly fragmented media.

I wanted to ask:

Has anyone here experimented with atom-level reconstruction rather than traditional carving?
Are there known approaches in R-Studio or similar tools that handle MOV fragmentation at this level?
Any suggestions for improving structural validation in such cases?

I’m mainly looking to understand whether this is a known direction in professional recovery workflows or if there are existing techniques I should study.

Thanks in advance for any insights.