In a typical digital forensics case, investigators may face tens of thousands of images. Manually reviewing that volume is neither practical nor sustainable. BelkaGPT – the offline AI assistant built into Belkasoft X – helps efficiently manage this task. It brings together four powerful capabilities that transform visual evidence review from a bottleneck into a structured workflow.
Predefined and Custom Classification
Classification is the fastest way to triage visual evidence for review. BelkaGPT ships with a range of predefined classifiers covering common investigative categories, but its real strength lies in custom classifiers. You can define your own categories on the fly using natural language instructions – no coding, no waiting for a software update. Need to detect workplace access badges, improvised devices, or suspicious packages? Create a classifier in seconds and apply it immediately. This adaptability means investigators are never constrained by what a developer anticipated in advance.
Comprehensive Image Descriptions
For every analyzed picture, BelkaGPT generates a detailed description covering people (appearance, clothing, tattoos, activities), objects of investigative interest (weapons, drugs, documents, devices), locations (indoor/outdoor settings, recognizable landmarks), contextual details like lighting and weather, and more. All descriptions are indexed and searchable, so you can locate relevant images in seconds. You can also use BelkaGPT-generated text for digital forensic reports.
Intelligent Natural Language Search
Once pictures are analyzed, investigators can search for specific scenes and details in them using natural language queries: “Show me photos taken in parking garages” or “Find images containing Bitcoin QR codes.” This flexibility allows investigations to adapt in real time as new leads emerge. BelkaGPT scans case data for relevant descriptions and returns matching items alongside its response.
Facial Recognition
BelkaGPT clusters faces in pictures found across a data source, helping identify suspects, accomplices, victims, or witnesses appearing in multiple photos. You can also upload a reference image to search for similar faces across all pictures in the case. BelkaGPT detects similar faces even when lighting, angles, or image quality vary. Results are ranked by similarity, with the most likely matches surfacing first.
Critically, all BelkaGPT operations run entirely offline, so sensitive case data never leaves the forensic lab.
For a closer look at each capability, including step-by-step workflows and configuration tips, check out the full guide on the Belkasoft website: https://belkasoft.com/ai-powered-picture-analysis
