PDF Table Extraction Task
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A PDF Table Extraction Task is a PDF information extraction that is a table extraction task from PDF files and converting them into more accessible and editable formats, such as spreadsheets or databases.
- Context:
- It can be performed manually by copying and pasting, which is often tedious and prone to errors, or automated using specialized PDF Table Extraction Systems.
- It can involve various challenges including handling of different table structures, merged cells, rotated text, and poor quality scans.
- It often requires the understanding and recognition of table structures including rows, columns, and headings.
- When dealing with scanned PDFs, OCR (Optical Character Recognition) Systems may be used to convert the image-based content into selectable text before extraction.
- It can be useful in various domains such as finance, research, data analytics, and journalism, where PDFs are a common format for reports and publications.
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- Example(s):
- Extracting financial tables from annual PDF reports to perform data analysis.
- Retrieving tables from scientific PDF papers for research data aggregation.
- Converting government PDF reports into structured datasets for journalistic investigation.
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- Counter-Example(s):
- Extracting plain text data, not in table format, from a PDF document.
- Converting a PDF document into an image file.
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- See: Data Extraction, Tabular Data.