System and Method for Quantifying Layout Complexity in Multi-Lingual Digital Documents

Abstract

A method and system are disclosed for computing a digital document layout complexity score by analyzing a comprehensive set of structural and linguistic features extracted from the document's content and visual layout. These features include, but are not limited to, page count, language type, presence of right-to-left scripts, tables, figures, formulas, handwriting indicators, and optical character recognition (OCR) confidence scores. Each feature is assigned a specific weight, and the method aggregates them into a unified complexity score through a weighted combination. This score quantitatively represents the difficulty level of accurately extracting information from the document. The resulting complexity score enables intelligent pre-processing triage within automated document processing pipelines, facilitating more reliable routing of documents to appropriate extraction systems or fallback strategies. This method improves the accuracy, efficiency, and robustness of downstream tasks such as text extraction, semantic parsing, and retrieval-augmented generation, especially in high-throughput or multilingual environments.

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