diff --git a/croppa/main.py b/croppa/main.py
index f3912a6..13b166d 100644
--- a/croppa/main.py
+++ b/croppa/main.py
@@ -3773,23 +3773,35 @@ class VideoEditor:
 
         # Handle crop border dragging (only when Shift and Ctrl are NOT pressed)
         if not (flags & cv2.EVENT_FLAG_SHIFTKEY) and not (flags & cv2.EVENT_FLAG_CTRLKEY) and self.crop_rect:
-            border_threshold = 800  # pixels
+            border_threshold = 800  # pixels - maximum distance to consider
             
             # Get effective crop in rotated coords and map to screen
             eff_x, eff_y, eff_w, eff_h = self._get_effective_crop_rect_for_frame(getattr(self, 'current_frame', 0))
             sx1, sy1 = self._map_rotated_to_screen(eff_x, eff_y)
             sx2, sy2 = self._map_rotated_to_screen(eff_x + eff_w, eff_y + eff_h)
             
-            # Detect which border is near
+            # Detect which border is closest to cursor
             def detect_border():
-                if abs(x - sx1) < border_threshold and sy1 <= y <= sy2:
-                    return 'left'
-                elif abs(x - sx2) < border_threshold and sy1 <= y <= sy2:
-                    return 'right'
-                elif abs(y - sy1) < border_threshold and sx1 <= x <= sx2:
-                    return 'top'
-                elif abs(y - sy2) < border_threshold and sx1 <= x <= sx2:
-                    return 'bottom'
+                # Calculate distances to each border
+                dist_left = abs(x - sx1) if sy1 <= y <= sy2 else float('inf')
+                dist_right = abs(x - sx2) if sy1 <= y <= sy2 else float('inf')
+                dist_top = abs(y - sy1) if sx1 <= x <= sx2 else float('inf')
+                dist_bottom = abs(y - sy2) if sx1 <= x <= sx2 else float('inf')
+                
+                # Find closest border
+                distances = {
+                    'left': dist_left,
+                    'right': dist_right,
+                    'top': dist_top,
+                    'bottom': dist_bottom
+                }
+                
+                closest_edge = min(distances, key=distances.get)
+                closest_dist = distances[closest_edge]
+                
+                # Only return if within threshold
+                if closest_dist < border_threshold:
+                    return closest_edge
                 return None
             
             if event == cv2.EVENT_LBUTTONDOWN: