Document processing reaches new dimensions with the introduction of Agentic Document Extraction by Landing AI. This AI-supported technology combines innovative functions with precise visual-contextual analysis – a significant advance over previous OCR methods.
LandingAI – Automatic document processing for documents, tables and graphics
The information extraction tool VisionAgent by LandingAI can capture complex layouts and visual elements in documents with Agentic Document Extraction. Unlike traditional OCR systems, which are limited to pure text recognition, this solution completely breaks down documents, takes their structure and visual content into account and places them in the right context. The result is a flexible system that goes far beyond conventional approaches.
A key feature is visual grounding, which enables more precise and error-resistant extraction. Whether tables, diagrams or checkboxes – Agentic Document Extraction reliably recognizes and interprets visual details. This combination of structure and layout analysis delivers more comprehensive and higher quality results, even with multi-layered and heterogeneous formats.
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Industry-specific applications
The technology offers a wide range of possible applications in different industries. In the financial industry, for example, it can increase efficiency in the analysis of complex financial reports and compliance processes. The logistics industry benefits from optimized inventory management and the automation of shipping processes. The healthcare industry could also achieve significant benefits in patient management and invoice verification. Applications in the insurance and legal sectors are also highly relevant, for example for accelerated contract review or combating fraud.
By completely transforming the handling of document-heavy processes, this solution signals a shift towards agent-based AI systems. These will increasingly analyze, orchestrate and execute work processes autonomously – with minimal human intervention. The combination of automation and artificial intelligence points to a clear trend in the industrial sector: data-driven workflows are set to become more efficient in order to secure competitive advantages.
Examples: How LandingAI extracts information from complex documents
The showcases demonstrate how the agent-based technology behind VisionAgent works. Documents are uploaded manually or via API and the extracted information is returned as JSON or markup. Even information in complex tables is extracted correctly. The agent technology then makes it possible to ask natural language questions by prompt, which are then answered. Here are some examples.
Data extraction from a report chart:
Data extraction from a credit application:
Data extraction from a document with tables:
Comparison with other document extraction solutions
It is interesting to see how Agentic Document Extraction positions itself against other technological developments. One example is LlamaIndex with its Agentic Document Workflows (ADW). Both technologies are moving towards holistic and context-aware document management that not only retrieves data, but automatically interprets, structures and processes it. Such an approach opens up new possibilities for making workflows leaner and more precise without having to resort to a multitude of isolated software solutions.
One feature of Agentic Document Extraction that should be emphasized is the possibility of interactive analysis using tools such as “Chat with Document”. This not only produces static results, but also allows users to enter into dialog with the extracted data, which could be particularly important for specialist areas such as finance or law.
The most important facts about Landing.ai
- Captures complex layouts such as checkboxes, diagrams and images.
- Simplifies work processes in sectors such as financial services, logistics and healthcare.
- Supports various file formats (PNG, JPEG, PDFs up to 5 pages, up to 50 MB).
- Developed on Landing AI’s VisionAgent framework.
- Provides tools for interactive document analysis (e.g. chat function).
Agentic Document Extraction clearly demonstrates the potential that lies in the further development of AI-supported analysis tools. With data-heavy industries in mind, this technology can be seen as a valuable driver of efficiency, accuracy and productivity – all indicators of where the market is heading in the future. The combination of layout understanding, visual analytics and automated orchestration points to an exciting new era of AI applications.
Source: Landing.ai
