Toolkit provides powerful text extraction and comparison capabilities in a 100% offline, on-premise environment, guaranteeing that your sensitive data never leaves your secure network.
From legal contracts and research papers to financial reports and project plans, the need to quickly understand, compare, and extract information is critical.
Extracting clean, reliable, and structured text from the complex file formats that hold the world's knowledge—PDFs, Word documents, Excel spreadsheets, and PowerPoint presentations.
A hybrid approach, combining the best of offline processing with the power of online AI. The most reliable way to handle the crucial first step of extracting data from documents (PDF, Office document)
Build a complete, high-performance Retrieval-Augmented Generation (RAG) system that runs entirely on a local device, final frontier of AI privacy, delivers a highest level of security, protection
Our main advantages are offline capability, high performance, and total data privacy. We will continue to optimize our tools to maintain our competitive edge in this high-growth market.
LibDocAnax is a document intelligence and data-pipeline engine designed for downstream consumption. It provides native extraction, analysis, and comparison capabilities for both PDF and Microsoft Offi
LibDocAnax provides the Deterministic Extraction Layer required for regulated industries. It bridges the gap between messy unstructured documents and LLM-driven automation structural contract.
Document intelligence is designed for deterministic document parsing and analysis. The system focuses on reliable extraction and structural understanding of both digital and scanned documents.
DocAnax provides three complementary capabilities for working with sensitive documents: Redaction, Transformation, AI Bridge. Document extraction, redaction, transformation, and restoration are
DocAnax allows users to create Rule Templates for Redaction and Transformation. A Rule Template is a named collection of rules that can be saved and reused for different documents, different purposes