Update utils/image_processor.py

utils/image_processor.py

@@ -18,56 +18,37 @@ except Exception as e:
     print("Text extraction may not work properly.")
     ocr_available = False
 
-def preprocess_image(image):
-    """
-    Preprocess image to improve OCR accuracy
-    """
-    if len(image.shape) == 3:
-        gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-    else:
-        gray = image
-    
-    denoised = cv2.fastNlMeansDenoising(gray, h=10)
-    
-    processed = cv2.adaptiveThreshold(
-        denoised, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
-        cv2.THRESH_BINARY, 11, 2
-    )
-    
-    return processed
-
 def extract_text_from_image(image_path):
-    """
-    Extract text from an image file using EasyOCR
-    """
     try:
+        print(f"📂 Reading image from: {image_path}")
         if not ocr_available:
-            raise ValueError("EasyOCR is not available")
-        
+            print("❌ EasyOCR not available.")
+            return "Text extraction failed. Please enter text manually."
+
         image = cv2.imread(image_path)
         if image is None:
-            raise ValueError(f"Could not read image at {image_path}")
-        
-        processed_image = preprocess_image(image)
+            print("❌ cv2 could not read image.")
+            return "Image could not be read."
 
+        processed_image = preprocess_image(image)
         temp_path = os.path.join(os.path.dirname(image_path), f"temp_{os.path.basename(image_path)}")
         cv2.imwrite(temp_path, processed_image)
+        print(f"🖼️ Temp processed image saved at: {temp_path}")
 
         results = reader.readtext(temp_path)
+        print("🔍 OCR Raw Output:", results)
 
-        try:
-            os.remove(temp_path)
-        except:
-            pass
+        os.remove(temp_path)
 
         text = ' '.join([result[1] for result in results]).strip()
-
         if not text:
+            print("⚠️ No text found, retrying with original image...")
             results = reader.readtext(image_path)
             text = ' '.join([result[1] for result in results]).strip()
 
+        print("✅ Extracted Text:", text)
         return text or "Text extraction failed. Please enter text manually."
-    
+
     except Exception as e:
         print(f"OCR failed: {str(e)}")
         return "Text extraction failed. Please enter text manually."