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Process / pipeline

Structured Text Extraction — Form & Table Extraction

Structured text extraction is a document-processing pipeline that automatically identifies and pulls tables, form fields, and structured data from PDF, HTML, and scanned documents. It converts heterogeneous document layouts into machine-readable, analysis-ready records and is widely used in data collection workflows, document digitisation projects, and academic corpus construction.

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Sources

  1. Zhu, J. et al. (2021). TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content. ACL. link ↗
  2. Zhong, X. et al. (2020). Image-Based Table Recognition. ECCV. link ↗

Related methods

Information ExtractionNamed Entity Recognition

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ScholarGate — Structured Text Extraction (Structured Data Extraction (Form & Table Extraction)). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/structured-text-extraction