import pdfplumber def extract_text_with_layout(pdf_path: str): full_text = "" with pdfplumber.open(pdf_path) as pdf: for page in pdf.pages: # Preserves columns, tables, and vertical spacing text = page.extract_text(layout=True, x_tolerance=3, y_tolerance=3) full_text += text + "\n" return full_text
Use fitz.Document with page-level caching and structured block extraction. and vertical spacing text = page.extract_text(layout=True
Timestamp via RFC 3161 server for LTV signatures. Pattern #11: OCR for Searchable PDFs (ocrmypdf + Tesseract 5) The Impact: Legacy scanned PDFs are images, not text. ocrmypdf wraps Tesseract to produce searchable PDFs with hidden text layers. and vertical spacing text = page.extract_text(layout=True