import os import fitz # PyMuPDF import pytesseract from pdf2image import convert_from_path from PIL import Image from abc import ABC, abstractmethod #Abstract Base Class (Interface) class FileProcessor(ABC): """Abstract class for file processing.""" @abstractmethod def extract_text(self, file_path): """Method to extract text from a file.""" pass #PDF Processor (Handles Text + OCR for Scanned PDFs) class PDFProcessor(FileProcessor): def extract_text(self, pdf_path): text = "" doc = fitz.open(pdf_path) for page_num in range(len(doc)): page = doc.load_page(page_num) page_text = page.get_text("text").strip() # Extract text from page # Extract Images for OCR images = page.get_images(full=True) ocr_text = "" if images: img_pages = convert_from_path(pdf_path, first_page=page_num + 1, last_page=page_num + 1) for img in img_pages: ocr_text += pytesseract.image_to_string(img).strip() + "\n" # Combine both text extraction methods combined_text = f"{page_text}\n{ocr_text}".strip() text += combined_text + "\n\n" return text.strip() if text else "No text found in PDF." #Image Processor (OCR) class ImageProcessor(FileProcessor): def extract_text(self, image_path): img = Image.open(image_path) text = pytesseract.image_to_string(img).strip() return text if text else "No text found in Image." #Factory to Select the Right Processor class FileProcessorFactory: """Factory class to get the correct file processor based on file extension.""" _processors = { ".pdf": PDFProcessor(), ".png": ImageProcessor(), ".jpg": ImageProcessor(), ".jpeg": ImageProcessor(), } @classmethod def get_processor(cls, file_path): ext = os.path.splitext(file_path)[-1].lower() return cls._processors.get(ext, None) #Unified File Reading Function def read_file(file_path): processor = FileProcessorFactory.get_processor(file_path) if processor: return processor.extract_text(file_path) else: return f"Unsupported file format: {file_path}"