diff --git a/doc/source/user_guide/timeseries.rst b/doc/source/user_guide/timeseries.rst
index 97be46e338c09..fb1c37c1b9073 100644
--- a/doc/source/user_guide/timeseries.rst
+++ b/doc/source/user_guide/timeseries.rst
@@ -1299,6 +1299,31 @@ frequencies. We will refer to these aliases as *offset aliases*.
    given frequency it will roll to the next value for ``start_date``
    (respectively previous for the ``end_date``)
 
+.. _timeseries.period_aliases:
+
+Period aliases
+~~~~~~~~~~~~~~
+
+A number of string aliases are given to useful common time series
+frequencies. We will refer to these aliases as *period aliases*.
+
+.. csv-table::
+    :header: "Alias", "Description"
+    :widths: 15, 100
+
+    "B", "business day frequency"
+    "D", "calendar day frequency"
+    "W", "weekly frequency"
+    "M", "monthly frequency"
+    "Q", "quarterly frequency"
+    "A, Y", "yearly frequency"
+    "H", "hourly frequency"
+    "T, min", "minutely frequency"
+    "S", "secondly frequency"
+    "L, ms", "milliseconds"
+    "U, us", "microseconds"
+    "N", "nanoseconds"
+
 
 Combining aliases
 ~~~~~~~~~~~~~~~~~
@@ -2083,7 +2108,7 @@ Period dtypes
 dtype similar to the :ref:`timezone aware dtype <timeseries.timezone_series>` (``datetime64[ns, tz]``).
 
 The ``period`` dtype holds the ``freq`` attribute and is represented with
-``period[freq]`` like ``period[D]`` or ``period[M]``, using :ref:`frequency strings <timeseries.offset_aliases>`.
+``period[freq]`` like ``period[D]`` or ``period[M]``, using :ref:`frequency strings <timeseries.period_aliases>`.
 
 .. ipython:: python
 
diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py
index 28b56a220f005..3d083e55b12ab 100644
--- a/pandas/core/arrays/datetimes.py
+++ b/pandas/core/arrays/datetimes.py
@@ -1145,13 +1145,13 @@ def to_period(self, freq=None) -> PeriodArray:
 
         Parameters
         ----------
-        freq : str or Offset, optional
-            One of pandas' :ref:`offset strings <timeseries.offset_aliases>`
-            or an Offset object. Will be inferred by default.
+        freq : str or Period, optional
+            One of pandas' :ref:`period aliases <timeseries.period_aliases>`
+            or an Period object. Will be inferred by default.
 
         Returns
         -------
-        PeriodArray/Index
+        PeriodArray/PeriodIndex
 
         Raises
         ------