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Techniques for interpreting visual document structures and embedded image content using multimodal models.
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This project is an AI-powered document processing engine designed to transform diverse file formats into structured Markdown. By leveraging multimodal language models, it performs complex layout analysis and semantic text extraction, allowing for the conversion of both unstructured files and scanned images into machine
Employs multimodal language models to interpret visual document structures and perform semantic character recognition on embedded image content.