import pytesseract
from PIL import Image
import os
import cv2

# Set Tesseract path (change if needed)
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"

# Input and output folders
input_folder = "input_images"
output_folder = "ocr_output"

# Create output folder if not exists
os.makedirs(output_folder, exist_ok=True)

# Choose language (change as needed)
lang = 'ben'   # 'hin' or 'tel'

# Process all images
for filename in os.listdir(input_folder):
    if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.tif')):
        
        img_path = os.path.join(input_folder, filename)
        img = cv2.imread(img_path)

        # Preprocessing
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        _, thresh = cv2.threshold(gray, 150, 255, cv2.THRESH_BINARY)

        # OCR
        text = pytesseract.image_to_string(thresh, lang=lang, config='--psm 6')

        # Output file name
        output_file = os.path.splitext(filename)[0] + ".txt"
        output_path = os.path.join(output_folder, output_file)

        # Save text
        with open(output_path, "w", encoding="utf-8") as f:
            f.write(text)

        print(f"Processed: {filename} → {output_file}")

print("Batch OCR completed.")