diff --git a/bml.py b/bml.py
deleted file mode 100644
index a410a95..0000000
--- a/bml.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import sys
-import pytesseract
-from PIL import Image
-import json
-
-def ocr_image_to_json(image_path):
-    try:
-        # Open the image file
-        image = Image.open(image_path)
-        
-        # Perform OCR on the image
-        ocr_result = pytesseract.image_to_data(image, output_type=pytesseract.Output.DICT)
-        
-        # Convert the OCR result to JSON
-        ocr_json = json.dumps(ocr_result, indent=4)
-        print(ocr_json)
-    except Exception as e:
-        print(f"Error: {e}")
-
-if __name__ == "__main__":
-    if len(sys.argv) != 2:
-        print("Usage: python ocr_to_json.py <image_path>")
-    else:
-        image_path = sys.argv[1]
-        ocr_image_to_json(image_path)
diff --git a/ocr.sh b/ocr.sh
new file mode 100755
index 0000000..e206b0b
--- /dev/null
+++ b/ocr.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+
+
+INPUT_IMAGE=$1
+tesseract $INPUT_IMAGE stdout
diff --git a/printall.py b/printall.py
deleted file mode 100644
index 241b020..0000000
--- a/printall.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import sys
-import pytesseract
-from PIL import Image
-
-def ocr_image_to_text(image_path):
-    try:
-        # Open the image file
-        image = Image.open(image_path)
-        
-        # Perform OCR on the image
-        ocr_result = pytesseract.image_to_data(image, output_type=pytesseract.Output.DICT)
-        
-        # Extract and print the text portion
-        text = [word for word in ocr_result['text'] if word.strip() != ""]
-        print(" ".join(text))
-    except Exception as e:
-        print(f"Error: {e}")
-
-if __name__ == "__main__":
-    if len(sys.argv) != 2:
-        print("Usage: python ocr_to_text.py <image_path>")
-    else:
-        image_path = sys.argv[1]
-        ocr_image_to_text(image_path)
-
diff --git a/processed.py b/processed.py
deleted file mode 100644
index 0480964..0000000
--- a/processed.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import sys
-import pytesseract
-from PIL import Image
-import re
-import json
-
-def ocr_image_to_json(image_path):
-    try:
-        # Open the image file
-        image = Image.open(image_path)
-        
-        # Perform OCR on the image
-        ocr_result = pytesseract.image_to_data(image, output_type=pytesseract.Output.DICT)
-        text = " ".join([word for word in ocr_result['text'] if word.strip() != ""])
-        
-        # Debug: Print the extracted text
-        print("Extracted Text:", text)
-        
-        # Regex patterns
-        reference_pattern = r"BLAZ\d{12}"
-        date_pattern = r"\d{2}/\d{2}/\d{4}\s?\d{2}:\d{2}"
-        amount_pattern = r"MVR\s?(\d+\.\d{2})"
-        to_address_pattern = r"(9\d{17}|7\d{13})"
-        
-        # Extracting data using regex
-        reference = re.search(reference_pattern, text)
-        transaction_date = re.search(date_pattern, text)
-        amount = re.search(amount_pattern, text)
-        to_address = re.search(to_address_pattern, text)
-        
-        # Debug: Print the matched regex groups
-        print("Reference:", reference.group() if reference else "Not found")
-        print("Transaction Date:", transaction_date.group() if transaction_date else "Not found")
-        print("Amount:", amount.group(1) if amount else "Not found")
-        print("To Address:", to_address.group() if to_address else "Not found")
-        
-        # Find 'from' and 'to' names
-        names_pattern = re.compile(r"([A-Z]+\s?[A-Z.]+)")
-        names = names_pattern.findall(text)
-        
-        # Debug: Print the names found
-        print("Names Found:", names)
-        
-        from_name, to_name = "", ""
-        if len(names) > 1:
-            from_name, to_name = names[0], names[1]
-        
-        # Prepare the result in JSON format
-        result = {
-            "status": "SUCCESS",
-            "message": "Thank you. Transfer transaction is successful.",
-            "reference": reference.group() if reference else "",
-            "transaction_date": transaction_date.group() if transaction_date else "",
-            "from": from_name,
-            "to_name": to_name,
-            "to_account": to_address.group() if to_address else "",
-            "amount": amount.group(1) if amount else ""
-        }
-        
-        # Print the result as JSON
-        print(json.dumps(result, indent=4))
-    except Exception as e:
-        print(f"Error: {e}")
-
-if __name__ == "__main__":
-    if len(sys.argv) != 2:
-        print("Usage: python ocr_to_json.py <image_path>")
-    else:
-        image_path = sys.argv[1]
-        ocr_image_to_json(image_path)