pdf-ocr-extractor

# PDF OCR Extractor Use this skill to extract text from scanned PDFs or image-based PDFs that lack a native text layer. It's completely free, doesn't utilize third-party APIs, and offers unlimited usage. It renders PDF pages to images and runs optical character recognition (OCR). ## Dependencies This skill requires: 1. **System Binary**: `tesseract` (along with required language data packs like `chi_sim` or `eng`). 2. **Python Packages**: `pypdfium2`, `pytesseract`, and `Pillow`. *Note: Do not run automated `pip install` commands at runtime. Rely on the user or the environment to pre-install the dependencies defined in the metadata block.* ## Quick Start Create a Python script (e.g., `extract.py`) in a temporary directory to handle the extraction safely: ```python import pypdfium2 as pdfium import pytesseract from PIL import Image import sys import os def extract(pdf_path): doc = pdfium.PdfDocument(pdf_path) full_text = [] for i, page in enumerate(doc): # Render page to a high-resolution image bitmap = page.render(scale=2) tmp_img = f"/tmp/page_{i}.png" bitmap.to_pil().save(tmp_img) # Run OCR (assuming English and Simplified Chinese packs are installed) text = pytesseract.image_to_string(Image.open(tmp_img), lang='chi_sim+eng') full_text.append(text) # Cleanup temporary file os.remove(tmp_img) return "\n".join(full_text) if __name__ == "__main__": if len(sys.argv) > 1: print(extract(sys.argv[1])) ``` Then execute the script: ```bash python3 extract.py /path/to/document.pdf ``` ## Security & Sandbox Constraints - Write temporary images only to `/tmp/` and clean them up immediately after extraction. - Do not attempt to dynamically download or install language packs via shell commands; notify the user if a specific language is missing.