diff --git a/warp/native/volume_builder.cu b/warp/native/volume_builder.cu
index 31c1a5316..fdd700d2f 100644
--- a/warp/native/volume_builder.cu
+++ b/warp/native/volume_builder.cu
@@ -147,14 +147,14 @@ class DeviceBuffer
         mManaged = true;
     }
 
-    /// @brief Retuns a raw pointer to the host/CPU buffer managed by this allocator.
+    /// @brief Returns a raw pointer to the host/CPU buffer managed by this allocator.
     /// @warning Note that the pointer can be NULL!
     void *data() const
     {
         return mCpuData;
     }
 
-    /// @brief Retuns a raw pointer to the device/GPU buffer managed by this allocator.
+    /// @brief Returns a raw pointer to the device/GPU buffer managed by this allocator.
     /// @warning Note that the pointer can be NULL!
     void *deviceData() const
     {
diff --git a/warp/tests/test_volume.py b/warp/tests/test_volume.py
index a72db3e82..6b48d41d0 100644
--- a/warp/tests/test_volume.py
+++ b/warp/tests/test_volume.py
@@ -644,7 +644,7 @@ def test_volume_introspection(test, device):
             voxels_unique = np.unique(voxels_actual, axis=0)
             assert voxel_count == voxels_unique.shape[0]
 
-            # Get back tiles from voxels, shoud match get_tiles()
+            # Get back tiles from voxels, should match get_tiles()
             voxel_tiles = 8 * (voxels_unique // 8)
             voxel_tiles_sorted = voxel_tiles[np.lexsort(voxel_tiles.T[::-1])]
             voxel_tiles_unique = np.unique(voxel_tiles_sorted, axis=0)
diff --git a/warp/types.py b/warp/types.py
index 7be71ab3d..4a6e5a38a 100644
--- a/warp/types.py
+++ b/warp/types.py
@@ -3275,8 +3275,8 @@ def feature_array(self, feature_index: int, dtype=None) -> array:
         """Returns one the the grid's feature data arrays as a Warp array
 
         Args:
-            feature_index: index of the supplemental dat aarray in the grid
-            dtype: type for the returned warp array. If not provided, will be deduced from the array metdata.
+            feature_index: Index of the supplemental data array in the grid
+            dtype: Type for the returned Warp array. If not provided, will be deduced from the array metadata.
         """
 
         info = self.get_feature_array_info(feature_index)