Agnibina Filetype.pdf Apr 2026

outline = build_tree(toc) (out_dir / "bookmarks.json").write_text(json.dumps(outline, indent=2, ensure_ascii=False)) doc.close() print(f"🔖 Extracted len(toc) outline entries.")

Features covered: * Basic metadata * Full text (with page numbers) * Text layout (coordinates, fonts) * Images (saved to disk) * Tables (as CSV) * Bookmarks / outline * Embedded files (attachments) * Optional OCR for scanned PDFs agnibina filetype.pdf

def clean_filename(s: str) -> str: """Make a filesystem‑safe name.""" return re.sub(r"[^\w\-_. ]", "_", s) outline = build_tree(toc) (out_dir / "bookmarks

# ------------------- Metadata ------------------- # def extract_metadata(pdf_path: Path) -> Dict: """Return a dict with PDF metadata (title, author, dates, etc.).""" doc = fitz.open(str(pdf_path)) meta = doc.metadata # Normalize keys normalized = "title": meta.get("title"), "author": meta.get("author"), "creator": meta.get("creator"), "producer": meta.get("producer"), "subject": meta.get("subject"), "keywords": meta.get("keywords"), "creationDate": meta.get("creationDate"), "modDate": meta.get("modDate"), "pdf_version": doc.pdf_version, "page_count": doc.page_count, doc.close() return normalized ocrmypdf needs Tesseract + poppler

If you only need a subset, simply comment out the relevant blocks. """

Requirements (install via pip): pip install pdfplumber pymupdf tqdm tabula-py ocrmypdf # tabula-py needs Java; ocrmypdf needs Tesseract + poppler