Spellbreaker

Spellbreaker is a digital media forensics platform built for legal professionals, including lawyers, arbitrators, and courts, that need to verify the authenticity of image, audio, and video evidence. The tool is designed to produce transparent, reproducible forensic results suitable for use in adversarial legal proceedings.

Key features and functions include:

Multimodal Deepfake and Manipulation Detection Spellbreaker analyzes video, audio, and image files for signs of manipulation, including generative AI artifacts, deepfakes, signal-level inconsistencies, and subtle visual alterations. The platform is described as capable of detecting manipulations in both high-resolution files and low-quality or compressed media.

Neuro-Symbolic Hybrid AI Analysis The platform combines neural network-based pattern recognition with symbolic AI logic-based reasoning. This approach is intended to produce results that go beyond binary outputs by providing the forensic rationale underlying each finding.

Explainable Forensic Reporting Spellbreaker generates detailed forensic reports for each file analyzed. Reports are designed to meet the evidentiary standards required for expert testimony and to support defensible conclusions in legal contexts.

Zero-Day Detection The platform is described as capable of identifying emerging and previously unseen manipulation patterns and synthetic signatures.

Stateless, No-Retention Architecture Media files are processed in volatile memory and immediately purged upon completion. No evidence files are stored by the platform, leaving the user's existing systems as the sole system of record.

Web Interface and API Access Users may submit files for analysis through a browser-based interface or via a RESTful API, enabling integration into existing investigative or legal workflows.