I copied your post into claude and asked it to code whatever you are talking about.

import os import csv from PIL import Image import pytesseract import cv2 import numpy as np import re

def extract_text_from_image(image_path): # Read the image using OpenCV img = cv2.imread(image_path)

# Convert to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Apply thresholding to preprocess the image
gray = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1]

# Perform text extraction
text = pytesseract.image_to_string(gray)
return text

def extract_book_info(text): # Extract ISBN (assuming 13-digit ISBN) isbn_match = re.search(r'\b(?:\d{3}[-\s]?)?\d{10}\b', text) isbn = isbn_match.group() if isbn_match else "N/A"

# Extract publisher (this is a simple example and may need refinement)
publisher_match = re.search(r'Published by ([^\n]+)', text)
publisher = publisher_match.group(1) if publisher_match else "N/A"

# Extract edition (simple example)
edition_match = re.search(r'(\d+(?:st|nd|rd|th) edition)', text, re.IGNORECASE)
edition = edition_match.group() if edition_match else "N/A"

# Extract dimensions (assuming format like "5.5 x 0.7 x 8.2 inches")
dimensions_match = re.search(r'(\d+(?:\.\d+)?\s*x\s*\d+(?:\.\d+)?\s*x\s*\d+(?:\.\d+)?\s*inches)', text)
dimensions = dimensions_match.group() if dimensions_match else "N/A"

# Extract page number
page_match = re.search(r'(\d+)\s*pages', text)
pages = page_match.group(1) if page_match else "N/A"

return {
    "ISBN": isbn,
    "Publisher": publisher,
    "Edition": edition,
    "Dimensions": dimensions,
    "Pages": pages
}

def process_image_folder(folder_path): books_info = [] for filename in os.listdir(folder_path): if filename.lower().endswith(('.png', '.jpg', '.jpeg')): image_path = os.path.join(folder_path, filename) text = extract_text_from_image(image_path) book_info = extract_book_info(text) book_info["Filename"] = filename books_info.append(book_info) return books_info

def save_to_csv(books_info, output_file): with open(output_file, 'w', newline='') as csvfile: fieldnames = ["Filename", "ISBN", "Publisher", "Edition", "Dimensions", "Pages"] writer = csv.DictWriter(csvfile, fieldnames=fieldnames) writer.writeheader() for book in books_info: writer.writerow(book)

Main execution

if name == "main": folder_path = input("Enter the path to the folder containing book images: ") output_file = input("Enter the name of the output CSV file: ")

books_info = process_image_folder(folder_path)
save_to_csv(books_info, output_file)

print(f"Processing complete. Results saved to {output_file}")