
Documentize.AI integrates Large Language Models, Retrieval-Augmented Generation, and modular .NET plugins to power enterprise-grade document automation. The platform handles the full document lifecycle — understanding, extraction, generation, and formatting — through a unified REST API or self-hosted deployment. Developers build custom document classifiers and automated report generators while DevOps teams deploy via Docker containers and Kubernetes. Enterprises choose Documentize.AI because it combines multiple AI techniques instead of narrow point solutions — LLMs for understanding, RAG for context-aware retrieval, and traditional plugins for deterministic processing.
Dozens of specialized AI tools to transform any document in seconds — no account required, no data stored after processing.
Connect AI agents to Documentize via MCP — expose all document processing as tools for Claude Desktop, VS Code Copilot, Cursor, and more.
Run document processing on your own infrastructure — lightweight REST API with Docker and .NET 9 support, full data control.
Native clients connecting to the Documentize API from your desktop or terminal — no browser required, pick the version for your OS.
Documentize uses Retrieval-Augmented Generation (RAG) to read and contextualize document content before any operation.
The .NET engine identifies fonts, layout structures, paragraphs, and embedded objects to ensure precision extraction.
The selected plugin executes deterministic operations — encryption, merging, conversion, or text extraction — with full control.
LLMs post-process the output — summarizing, classifying, or converting results into clean, structured formats ready for use.
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