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Algorithms that apply geometric heuristics and spatial analysis to reassemble fragmented text blocks into coherent document structures.
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MinerU is a document parsing pipeline designed to transform unstructured files into machine-readable, structured data. It utilizes deep learning models to perform layout analysis, identifying document regions and extracting complex content such as mathematical expressions. By combining these neural network inferences with geometric heuristics, the system reconstructs the reading order and structural hierarchy of documents to ensure accurate data representation. The project distinguishes itself through a multi-stage processing workflow that integrates layout detection, optical character recogn
Applies geometric heuristics and spatial analysis to reassemble fragmented text blocks into a coherent reading order.