diff --git a/numcodecs/vlen.c b/numcodecs/vlen.c
index 6630aaf6..eae16d8a 100644
--- a/numcodecs/vlen.c
+++ b/numcodecs/vlen.c
@@ -2120,7 +2120,7 @@ static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does
 static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
 static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
 static const char __pyx_k_Encode_variable_length_1_dimensi[] = "Encode variable-length 1-dimensional arrays via UTF-8.\n\n    Examples\n    --------\n    >>> import numcodecs\n    >>> import numpy as np\n    >>> x = np.array([[1, 3, 5], [4], [7, 9]], dtype='object')\n    >>> codec = numcodecs.VLenArray('<i4')\n    >>> codec.decode(codec.encode(x))\n    array([array([1, 2, 3], dtype=int32), array([4], dtype=int32),\n           array([5, 6], dtype=int32)], dtype=object)\n\n    See Also\n    --------\n    numcodecs.pickles.Pickle, numcodecs.json.JSON, numcodecs.msgpacks.MsgPack\n\n    Notes\n    -----\n    The binary data for each array are packed into a parquet-style byte array.\n\n    ";
-static const char __pyx_k_Encode_variable_length_byte_stri[] = "Encode variable-length byte string objects.\n\n    Examples\n    --------\n    >>> import numcodecs\n    >>> import numpy as np\n    >>> x = np.array([b'foo', b'bar', b'baz'], dtype='object')\n    >>> codec = numcodecs.VLenUTF8()\n    >>> codec.decode(codec.encode(x))\n    array([b'foo', b'bar', b'baz'], dtype=object)\n\n    See Also\n    --------\n    numcodecs.pickles.Pickle\n\n    Notes\n    -----\n    The bytes values for each string are packed into a parquet-style byte array.\n\n    ";
+static const char __pyx_k_Encode_variable_length_byte_stri[] = "Encode variable-length byte string objects.\n\n    Examples\n    --------\n    >>> import numcodecs\n    >>> import numpy as np\n    >>> x = np.array([b'foo', b'bar', b'baz'], dtype='object')\n    >>> codec = numcodecs.VLenBytes()\n    >>> codec.decode(codec.encode(x))\n    array([b'foo', b'bar', b'baz'], dtype=object)\n\n    See Also\n    --------\n    numcodecs.pickles.Pickle\n\n    Notes\n    -----\n    The bytes values for each string are packed into a parquet-style byte array.\n\n    ";
 static const char __pyx_k_Encode_variable_length_unicode_s[] = "Encode variable-length unicode string objects via UTF-8.\n\n    Examples\n    --------\n    >>> import numcodecs\n    >>> import numpy as np\n    >>> x = np.array(['foo', 'bar', 'baz'], dtype='object')\n    >>> codec = numcodecs.VLenUTF8()\n    >>> codec.decode(codec.encode(x))\n    array(['foo', 'bar', 'baz'], dtype=object)\n\n    See Also\n    --------\n    numcodecs.pickles.Pickle, numcodecs.json.JSON, numcodecs.msgpacks.MsgPack\n\n    Notes\n    -----\n    The encoded bytes values for each string are packed into a parquet-style byte array.\n\n    ";
 static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
 static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
diff --git a/numcodecs/vlen.pyx b/numcodecs/vlen.pyx
index 5fe9b02d..eb34ecb0 100644
--- a/numcodecs/vlen.pyx
+++ b/numcodecs/vlen.pyx
@@ -184,7 +184,7 @@ class VLenBytes(Codec):
     >>> import numcodecs
     >>> import numpy as np
     >>> x = np.array([b'foo', b'bar', b'baz'], dtype='object')
-    >>> codec = numcodecs.VLenUTF8()
+    >>> codec = numcodecs.VLenBytes()
     >>> codec.decode(codec.encode(x))
     array([b'foo', b'bar', b'baz'], dtype=object)