extract_each_text

3 usages across 2 PDFs

Extracting Text from Georgia Legislative Bills

This PDF contains legal bills from the Georgia legislature, published yearly. Challenges include extracting marked-up text like underlines and strikethroughs. It has line numbers that complicate text extraction.

text = pdf.find_all('text:underline').extract_each_text()
print(text)
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sections.extract_each_text()
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Natural PDF basics with text and tables

Learn the fundamentals of Natural PDF - opening PDFs, extracting text with layout preservation, selecting elements by criteria, spatial navigation, and managing exclusion zones. Perfect starting point for PDF data extraction.

texts = page.find_all('text').extract_each_text()
for t in texts[:5]:  # Show first 5
    print(t)
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