# https://huggingface.co/spaces/Mishmosh/MichelleAssessment3 #!pip install PyPDF2 #!pip install sentencepiece #!pip install pdfminer.six #!pip install pdfplumber #!pip install pdf2image #!pip install Pillow #!pip install pytesseract # @title !apt-get install poppler-utils !apt install tesseract-ocr !apt install libtesseract-dev import PyPDF2 from pdfminer.high_level import extract_pages, extract_text from pdfminer.layout import LTTextContainer, LTChar, LTRect, LTFigure import pdfplumber from PIL import Image from pdf2image import convert_from_path import pytesseract import os def text_extraction(element): # Extracting the text from the in-line text element line_text = element.get_text() # Find the formats of the text # Initialize the list with all the formats that appeared in the line of text line_formats = [] for text_line in element: if isinstance(text_line, LTTextContainer): # Iterating through each character in the line of text for character in text_line: if isinstance(character, LTChar): # Append the font name of the character line_formats.append(character.fontname) # Append the font size of the character line_formats.append(character.size) # Find the unique font sizes and names in the line format_per_line = list(set(line_formats)) # Return a tuple with the text in each line along with its format return (line_text, format_per_line) # @title # Create a function to crop the image elements from PDFs def crop_image(element, pageObj): # Get the coordinates to crop the image from the PDF [image_left, image_top, image_right, image_bottom] = [element.x0,element.y0,element.x1,element.y1] # Crop the page using coordinates (left, bottom, right, top) pageObj.mediabox.lower_left = (image_left, image_bottom) pageObj.mediabox.upper_right = (image_right, image_top) # Save the cropped page to a new PDF cropped_pdf_writer = PyPDF2.PdfWriter() cropped_pdf_writer.add_page(pageObj) # Save the cropped PDF to a new file with open('cropped_image.pdf', 'wb') as cropped_pdf_file: cropped_pdf_writer.write(cropped_pdf_file)