import fitz  # PyMuPDF
import os
import pytesseract
from PIL import Image
from tqdm import tqdm

# Directory containing PDFs
input_dir = "pdfs"
# Directory to save text files
output_dir = "text3"

# Create output directory if it doesn't exist
os.makedirs(output_dir, exist_ok=True)

def extract_text_from_image(page):
    # Convert PDF page to an image
    pix = page.get_pixmap()
    img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
    # Use OCR to extract text from the image
    text = pytesseract.image_to_string(img)
    return text

# Loop through all PDF files in the input directory
for pdf_file in tqdm(os.listdir(input_dir)):
    if pdf_file.endswith(".pdf"):
        # Open the PDF file
        pdf_path = os.path.join(input_dir, pdf_file)
        doc = fitz.open(pdf_path)
        
        # Extract text from each page
        text = ""
        for page_num in range(len(doc)):
            page = doc.load_page(page_num)
            page_text = page.get_text()
            if not page_text.strip():
                # If no text is found, try OCR
                page_text = extract_text_from_image(page)
            text += page_text

        # Save the extracted text to a .txt file
        base_name = os.path.splitext(pdf_file)[0]
        txt_path = os.path.join(output_dir, f"{base_name}.txt")
        with open(txt_path, "w", encoding="utf-8") as txt_file:
            txt_file.write(text)

print("Conversion complete!")