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sv-smartpdf

The best high-level PDF structure extraction library in Python that solves the painful manual work developers currently face.

Existing tools are powerful but low-level. sv-smartpdf provides a beautiful, high-level interface for extracting hierarchical sections, tables, figures, and metadata from complex PDFs.

Installation

pip install sv-smartpdf

For OCR support:

pip install sv-smartpdf[ocr]

Quick Start

from sv_smartpdf import parse

# Parse a document
doc = parse("paper.pdf")

# Beautiful high-level interface
print(doc.title)
print(doc.metadata)

# Hierarchical sections
for section in doc.sections:
    print(f"{'  ' * section.level}- {section.title}")
    
# Rich table objects
for table in doc.tables:
    print(table.df) # pandas DataFrame

Metadata

Release files for sv-smartpdf 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sv-smartpdf 0.1.2
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Built distribution (wheel)

Table of built distributions (wheels) for sv-smartpdf 0.1.2
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sv_smartpdf-0.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 549.2 kB

Release files / sv_smartpdf-0.1.2.tar.gz

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Size 540.5 kB
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