Agnibina - Filetype.pdf

# ------------------- Bookmarks / Outline ------------------- # def extract_bookmarks(pdf_path: Path, out_dir: Path): """Export the PDF's outline (bookmarks) as a JSON hierarchy.""" doc = fitz.open(str(pdf_path)) toc = doc.get_toc(simple=False) # list of [level, title, page, ...] # Turn into a nested dict for readability def build_tree(toc_entries): tree = [] stack = [(0, tree)] # (level, container) for level, title, page, *_ in toc_entries: while level <= stack[-1][0]: stack.pop() node = "title": title, "page": page, "children": [] stack[-1][1].append(node) stack.append((level, node["children"])) return tree

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.") agnibina filetype.pdf

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

import argparse import json import os import re import sys from pathlib import Path from typing import List, Dict container) for level

# ------------------- Helper functions ------------------- # def safe_mkdir(p: Path): p.mkdir(parents=True, exist_ok=True)

# Optionally re-run the extraction on the OCR’d file # (You could replace the original path with ocr_output for downstream steps)