DocDiffReasoner is a multi-agent thinking system designed for semantic and structural document comparison, offering a paradigm shift in document analysis.
The system powered by a large language model (LLM) allows agents to collaborate and synthesize like expert analysts, focusing on explaining why changes occurred rather than just highlighting what changed.
DocDiffReasoner's user interface provides explanatory visualizations such as confidence scores, section-level differences summarized with pie charts, and tabular comparisons for increased trust and auditability.
The system offers a modular agent infrastructure for scaling and adapting to various document intelligence tasks, positioning it as a thinking framework that merges intelligence, transparency, and domain applicability in document analytics.