fix: apply rotation before cropping for better text orientation

- Move manual rotation before cropping and text detection
- Detect text orientation on full rotated image (not just cropped region)
- This allows text angle detection to see full context and properly orient labels
- Crop happens after orientation correction for cleaner results

backend/services/image_processing.py

@@ -88,10 +88,21 @@ class ImageProcessor:
                 image = self._rotate_by_orientation(image, exif_orientation)
                 self.logger.info(f"Applied EXIF rotation: {exif_orientation}")
 
-            # Smart cropping
+            # Apply manual rotation FIRST (before cropping/detection)
+            if abs(rotation_degrees) > 0.5:
+                image = image.rotate(-rotation_degrees, expand=True)
+                self.logger.info(f"Applied manual rotation: {rotation_degrees}°")
+
+            # Detect text orientation on full rotated image (before cropping)
+            text_angle, angle_status = self._detect_text_orientation(image)
+            if text_angle is not None:
+                self.logger.info(f"Detected text angle: {text_angle}° ({angle_status})")
+                if angle_status in ['upside_down', 'sideways']:
+                    image = self._rotate_image(image, text_angle)
+
+            # Now crop after orientation is corrected
             cropped_image = image
             crop_size = None
-            text_angle = None
             crop_method = 'none'
 
             if crop_bounds:
@@ -108,26 +119,13 @@ class ImageProcessor:
                 crop_method = 'manual'
                 self.logger.info(f"Applied manual crop: {crop_size}")
             else:
-                # Try OpenCV smart crop
+                # Try OpenCV smart crop on properly oriented image
                 try:
                     crop_result = self._smart_crop_opencv(image)
                     if crop_result is not None:
                         cropped_image, crop_size = crop_result
                         crop_method = 'opencv'
                         self.logger.info(f"Applied OpenCV crop: {crop_size}")
-
-                        # Detect text orientation within the cropped region
-                        text_angle, angle_status = self._detect_text_orientation(
-                            cropped_image
-                        )
-                        if text_angle is not None:
-                            self.logger.info(
-                                f"Detected text angle: {text_angle}° ({angle_status})"
-                            )
-                            if angle_status in ['upside_down', 'sideways']:
-                                cropped_image = self._rotate_image(
-                                    cropped_image, text_angle
-                                )
                     else:
                         crop_method = 'pillow'
                 except (IOError, ValueError, cv2.error) as e:
@@ -137,11 +135,6 @@ class ImageProcessor:
                     )
                     crop_method = 'pillow'
 
-            # Apply manual rotation if provided
-            if abs(rotation_degrees) > 0.5:
-                cropped_image = cropped_image.rotate(-rotation_degrees, expand=True)
-                self.logger.info(f"Applied manual rotation: {rotation_degrees}°")
-
             # Resize and compress
             compressed_bytes = self._resize_and_compress(cropped_image)