Webinar
AI models, RAG systems, and AI agents are only as effective as the information they receive. Yet much of enterprise information still resides in complex documents where structure, context, layout, and relationships can be lost during traditional extraction.
In this technical partner webinar, we will talk about DocLang, an open AI-native document representation standard designed for AI consumption and explore how ABBYY Document AI can generate DocLang output from business documents. We will also demonstrate how high-quality OCR and document analysis help preserve document structure and prepare content for downstream LLM, RAG, and agentic AI workflows.
What DocLang is and why an AI-native document format is needed
How DocLang preserves document structure, semantics, layout, reading order, tables, and governance information
How DocLang differs from traditional document outputs used in AI pipelines
How ABBYY Document AI generates DocLang using OCR and document analysis
Where DocLang fits within LLM, RAG, GenAI, and agentic AI architectures
How DocLang can reduce document preprocessing and provide more reliable, AI-ready input
How the complete workflow works through a live technical demonstration
This session is built for technical audiences working with document-centric AI:
Developers and solution architects designing LLM, RAG, or agentic AI systems that consume enterprise documents
Technical consultants and pre-sales engineers scoping intelligent document processing (IDP) and intelligent automation projects for customers
AI and data professionals evaluating how to get reliable, governed document input into production AI workflows
#No prior DocLang knowledge is required. Familiarity with OCR concepts and RAG architectures will help you get the most from the demo.
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