Phone Video That Is Searchable, Not Just Extracted
This connector is not prebuilt. It would be built to your requirement on the ingestion path the platform already uses, with scope and effort agreed per engagement. Cellebrite extracts data from mobile devices for investigations: messages, call logs, photos and video. The extraction itself is the part that works. What follows is the problem, because the media comes out inside a report file and an investigator who needs to know what was said in a video has no way to search it there.
How it connects
The connection would read Cellebrite's extraction output, the UFDR container, rather than calling a live API. That shape matters for scoping: an extraction is a file produced at a point in time, so the integration is about picking up completed extractions and reading the media out of them, not about maintaining a live link to a forensic workstation.
Media pulled from the container would then be transcribed and indexed like any other item, so a phrase spoken in a recovered video is findable, and the case identifiers carried in the extraction would arrive as attributes so the material files against the right case. Everything lands under the library's access control, retention and chain of custody, which is the part a forensic workflow cares about: the custody record has to continue rather than restart.
An engagement would settle two things. Which parts of an extraction come across, because a full device dump contains a great deal that is not evidence and ingesting all of it is rarely what anyone wants. And how the custody record joins up, since the extraction has its own provenance and the library's record needs to reference it rather than replace it. Cellebrite is also a competitor in one product line and an integration target in another, and both are true at once.
What you can do together
- Search what was said in video and audio recovered from a phone, rather than opening each file from a report.
- File recovered media against the case from the identifiers the extraction already carries.
- Continue the custody record into the library, so the chain references the extraction rather than starting afresh.
- Scope which parts of an extraction come across, so a full device dump does not become the case file.
A scenario
- ScopingThe engagement would agree which parts of an extraction are ingested and how the custody record references it.
- SetupThe connection would be configured once to pick up completed extraction output from where the examiners write it.
- After an extractionVideo and audio are read out of the container, transcribed and indexed, and attached to the case.
- The investigationA detective searches a phrase and finds it in a recovered video, opening it at the moment it was said.
- DisclosureThe material is produced from the library with its custody record intact and the extraction referenced as its origin.
What stays where
Cellebrite remains the extraction tool
Device acquisition, decoding and the examiner's own analysis stay there.
The connection reads completed output
It picks up the extraction container rather than holding a live link to a forensic workstation.
Scope is agreed, because a full dump is not evidence
Which parts come across is decided rather than defaulting to everything.
The custody record continues
The library's chain references the extraction's provenance rather than replacing it.
Products and solutions
Next step
See it on your own Cellebrite instance. We will show the connection made, the data moving and the output, then size it for your deployment.
Request a demonstration or write to sales@vidizmo.ai
sales@vidizmo.ai · vidizmo.ai/integrations/catalog/cellebrite