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da(f"Error processing image {counter} from {source}: {e}") print(f"Error processing image {counter} from {source}: {e}") return False # Method 1: Extract images using openpyxl def extract_with_openpyxl(): global image_counter try: wb = openpyxl.load_workbook(excel_path) ws = wb.active logging.info("Excel file loaded successfully with openpyxl") print("Excel file loaded successfully with openpyxl") # Get all images images = ws._images logging.info(f"Found {len(images)} embedded images with openpyxl") print(f"Found {len(images)} embedded images") if not images: logging.warning("No embedded images found with openpyxl") print("No embedded images found with openpyxl") return for img in images: try: img_data = img._data() image = Image.open(io.BytesIO(img_data)) if process_image(image, image_counter, "openpyxl"): image_counter += 1 except Exception as e: logging.error(f"Error processing openpyxl image {image_counter}: {e}") print(f"Error with openpyxl image {image_counter}: {e}") except Exception as e: logging.error(f"Failed to load Excel file with openpyxl: {e}") print(f"Error loading Excel file with openpyxl: {e}") # Method 2: Extract images by treating .xlsx as a ZIP arc