diff --git a/box_detection/box_detection.py b/box_detection/box_detection.py
index e1192a1..27abc76 100644
--- a/box_detection/box_detection.py
+++ b/box_detection/box_detection.py
@@ -26,9 +26,9 @@ def is_likely_redaction(contour, hierarchy, min_area):
     return is_filled(hierarchy) and is_boxy(contour) and is_large_enough(contour, min_area)
 
 
-def find_redactions(image: np.array, min_nomralized_area=200000):
+def find_redactions(image: np.array, min_normalized_area=200000):
 
-    min_nomralized_area /= 200  # Assumes 200 DPI PDF -> image conversion resolution
+    min_normalized_area /= 200  # Assumes 200 DPI PDF -> image conversion resolution
 
     gray = ~cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
     blurred = cv2.GaussianBlur(gray, (5, 5), 1)
@@ -37,7 +37,7 @@ def find_redactions(image: np.array, min_nomralized_area=200000):
     contours, hierarchies = cv2.findContours(thresh.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
 
     contours = map(
-        first, starfilter(partial(is_likely_redaction, min_area=min_nomralized_area), zip(contours, hierarchies[0]))
+        first, starfilter(partial(is_likely_redaction, min_area=min_normalized_area), zip(contours, hierarchies[0]))
     )
     return contours