diff --git a/doctr/utils/geometry.py b/doctr/utils/geometry.py
index c69453a78c..8742a3f0ce 100644
--- a/doctr/utils/geometry.py
+++ b/doctr/utils/geometry.py
@@ -464,7 +464,7 @@ def extract_crops(img: np.ndarray, boxes: np.ndarray) -> list[np.ndarray]:
         _boxes[:, [1, 3]] *= h
         _boxes = _boxes.round().astype(int)
         # Add last index
-        _boxes[2:] += 1
+        _boxes[:, 2:] += 1
 
     return deepcopy([img[box[1] : box[3], box[0] : box[2]] for box in _boxes])
 
diff --git a/tests/common/test_utils_geometry.py b/tests/common/test_utils_geometry.py
index d595875728..c00f90049b 100644
--- a/tests/common/test_utils_geometry.py
+++ b/tests/common/test_utils_geometry.py
@@ -272,6 +272,12 @@ def test_extract_crops(mock_pdf):
     # Identity
     assert np.all(doc_img == geometry.extract_crops(doc_img, np.array([[0, 0, 1, 1]], dtype=np.float32))[0])
 
+    # Identical boxes must yield identical crops regardless of their position in the batch
+    gradient_img = np.tile(np.arange(100, dtype=np.uint8).reshape(100, 1, 1), (1, 100, 3))
+    same_box = [0.1, 0.1, 0.2, 0.2]
+    identical_crops = geometry.extract_crops(gradient_img, np.array([same_box, same_box, same_box], dtype=np.float32))
+    assert all(np.array_equal(crop, identical_crops[0]) for crop in identical_crops)
+
     # No box
     assert geometry.extract_crops(doc_img, np.zeros((0, 4))) == []