Table Extraction
Identifying and extracting tabular data from documents while preserving structure.
Definition
Table extraction is the process of identifying tables within documents and extracting their content while preserving row, column, and cell relationships. Tables present significant challenges because their visual structure does not always match their logical structure, and formatting varies widely. AI-powered table extraction can handle complex tables with merged cells, nested headers, and spanning elements that template-based approaches cannot.
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More in Document Processing
Data Extraction
Automatically pulling structured information from unstructured documents.
Document Classification
Automatically categorising documents by type, topic, or purpose.
Intelligent Document Processing (IDP)
AI-powered automation that extracts, classifies, and processes data from documents.
Document Parsing
Converting documents into structured, machine-readable data.
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Understanding the terminology is the first step. See how Conductor applies these concepts to solve real document intelligence challenges.
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