You can pick and choose which of those you need; the code examples below let you toggle them on/off. | Feature | Recommended Library / CLI | Pros | Cons / Gotchas | |---------|---------------------------|------|----------------| | Basic metadata & text | PyPDF2 , pdfminer.six | Pure‑Python, no external dependencies | Struggles with complex layouts, no OCR | | Robust text + layout | pdfplumber (wraps pdfminer ) | Gives you bounding‑box coordinates, easy table extraction | Slower on huge PDFs | | Tables | tabula-py (Java), camelot | Detects table borders, outputs to DataFrames/CSV | Needs Java (tabula) or Ghostscript (camelot) | | Images & embedded files | pdfminer.six (low‑level), pymupdf (aka fitz ) | Fast, easy extraction of images & attachments | pymupdf is C‑based, needs binary wheels | | Full‑featured OCR | pdf2image + pytesseract , or ocrmypdf | Handles scanned PDFs end‑to‑end | Requires Tesseract OCR + poppler; slower | | Metadata & advanced content | Apache Tika (via tika-python ) | Handles many MIME types, auto‑detects language, OCR via Tesseract | Requires a Java runtime; heavier | | Command‑line quick‑look | exiftool , pdfinfo (poppler), mutool (MuPDF) | Great for batch scripts, no Python needed | Limited to what each tool exposes | | Deep NLP (NER, summarisation) | Hugging Face Transformers ( layoutlmv3 , pdfbert ) | Understands layout‑aware entities | Needs GPU for speed, heavier setup | 3. One‑stop Python script (extract most common features) Below is a single, modular script you can drop into a file called extract_agnibina_features.py . It uses only pure‑Python libraries ( pdfplumber , pymupdf ) plus optional OCR ( ocrmypdf ). Feel free to comment out the sections you don’t need.
# ------------------- Images ------------------- # def extract_images(pdf_path: Path, out_dir: Path): """Extract every image to out_dir/images/ (preserves original format).""" doc = fitz.open(str(pdf_path)) img_dir = out_dir / "images" safe_mkdir(img_dir) agnibina filetype.pdf
# ------------------- Main driver ------------------- # def main(): parser = argparse.ArgumentParser( description="Extract a suite of features from a PDF (e.g. agnibina.pdf)." ) parser.add_argument("pdf", type=Path, help="Path to the input PDF") parser.add_argument( "-o", "--out You can pick and choose which of those
""" extract_agnibina_features.py ---------------------------- Extract a rich set of features from a PDF (e.g. agnibina.pdf). It uses only pure‑Python libraries ( pdfplumber ,