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Combining fragmented table parts across document pages into one data structure.
Distinct from Sequential Table Merging: Distinct from sequential table merging in databases; this is about reconstructing a single table from PDF pages.
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Camelot is a Python library and processing engine designed to extract tabular data from PDF documents. It converts unstructured tables into machine-readable formats such as CSV, JSON, and Excel. The project provides specialized toolsets for different document types, using line detection for ruled tables and whitespace analysis for borderless tables. It includes an optical character recognition system to recover structured data from image-based scanned PDFs that lack a digital text layer. The library handles complex document layouts, including encrypted files, rotated pages, and tables that s
Combines table continuations spanning across multiple pages into a single unified data structure.