
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.
Convert PDFs to Word, Excel, PNG, or HTML with high accuracy. Fast, scalable conversions built for automated pipelines and batch processing.
Encrypt, decrypt, and digitally sign PDFs in seconds. Enterprise-grade protection built into every document workflow.
Reduce file sizes, optimize PDF pages, and extract embedded images for downstream analysis — without quality loss.
Chat with PDFs, auto-generate a Table of Contents, and extract structured data using LLMs and AI-powered document analysis.
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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