Problem
The current PDF implementation (#83) uses basic text extraction (page.extract_text()), which works well for simple PDFs but has limitations for complex legal documents:
- Multi-column layouts - Text reads left-to-right across page, mixing columns
- Tables - Pricing schedules, terms become garbled text
- Headers/footers - "Page X of Y" creates false positives on every page
- Structure - Signature blocks, footnotes, exhibits lose formatting
Proposed Enhancements
Leverage pdfplumber's advanced features (already available in the dependency):
-
Layout-aware extraction
- Use
extract_text(layout=True) to preserve spacing/columns
- Or implement reading order detection for proper column flow
-
Header/footer filtering
- Detect and optionally exclude repeated elements
- Reduce false positives in page-by-page comparisons
-
Table extraction
- Use
extract_tables() for structured data
- Preserve table formatting in comparison output
-
Chunk location tracking
- Utilize
Chunk.chunk_location field (already exists)
- Store bounding box information for each change
- Enable "this change is on page 3, section 2.1" type reporting
-
Configuration options
PDFFile(
"contract.pdf",
layout_mode=True, # Preserve spacing
exclude_headers=True, # Filter headers/footers
extract_tables=True, # Preserve table structure
track_positions=True # Store bounding boxes
)
Use Cases
- Complex legal contracts with multi-column layouts
- Technical documents with tables and diagrams
- Long documents where knowing "page 47, paragraph 3" matters
- Documents where headers/footers cause noise
References
- pdfplumber documentation: https://github.com/jsvine/pdfplumber
Chunk.chunk_location field in processor.py:L193 (designed for this)
- Related tools: Draftable, Workshare Compare (for comparison)
Priority
Medium - Current implementation works for simple PDFs. This is an enhancement for power users with complex documents.
Problem
The current PDF implementation (#83) uses basic text extraction (
page.extract_text()), which works well for simple PDFs but has limitations for complex legal documents:Proposed Enhancements
Leverage pdfplumber's advanced features (already available in the dependency):
Layout-aware extraction
extract_text(layout=True)to preserve spacing/columnsHeader/footer filtering
Table extraction
extract_tables()for structured dataChunk location tracking
Chunk.chunk_locationfield (already exists)Configuration options
Use Cases
References
Chunk.chunk_locationfield inprocessor.py:L193(designed for this)Priority
Medium - Current implementation works for simple PDFs. This is an enhancement for power users with complex documents.