Animal 911 Calls Extraction from Rainforest Cafe Report
This PDF is a service call report covering 911 incidents at the Rainforest Cafe in Niagara Falls, NY. We're hunting for animals! The data is formatted as a spreadsheet within the PDF, and challenges include varied column widths, borderless tables, and large swaths of missing data.
guide = Guides(pages[0])
columns = ['Number', 'Date Occurred', 'Time Occurred', 'Location', 'Call Type', 'Description', 'Disposition', 'Main Officer']
guide.vertical.from_content(columns, outer="last")
guide.horizontal.from_content(
lambda p: p.find_all('text:starts-with(NF-)')
)guide = Guides(pages[0])
columns = ['Number', 'Date Occurred', 'Time Occurred', 'Location', 'Call Type', 'Description', 'Disposition', 'Main Officer']
guide.vertical.from_content(columns, outer="last")
guide.horizontal.from_content(
lambda p: p.find_all('text:starts-with(NF-)')
)
guide.show()
base = Guides(pages[0])
columns = ['Number', 'Date Occurred', 'Time Occurred', 'Location', 'Call Type', 'Description', 'Disposition', 'Main Officer']
base.vertical.from_content(columns, outer="last")
base.horizontal.from_content(pages[0].find_all('text:starts-with(NF-)'))
base.show()OCR and AI magic
Master OCR techniques with Natural PDF - from basic text recognition to advanced LLM-powered corrections. Learn to extract text from image-based PDFs, handle tables without proper boundaries, and leverage AI for accuracy improvements.
guides = Guides(table_area)
# Add guides between the headers
guides.vertical.from_content(
['Statute', 'Description', 'Level', 'Repeat'],
align='between'
)