diff --git a/docs/src/python/user-guide/misc/arrow_pycapsule.py b/docs/src/python/user-guide/misc/arrow_pycapsule.py
new file mode 100644
index 000000000000..4a58fac5b74c
--- /dev/null
+++ b/docs/src/python/user-guide/misc/arrow_pycapsule.py
@@ -0,0 +1,28 @@
+# --8<-- [start:to_arrow]
+import polars as pl
+import pyarrow as pa
+
+df = pl.DataFrame({"foo": [1, 2, 3], "bar": ["ham", "spam", "jam"]})
+arrow_table = pa.table(df)
+print(arrow_table)
+# --8<-- [end:to_arrow]
+
+# --8<-- [start:to_polars]
+polars_df = pl.DataFrame(arrow_table)
+print(polars_df)
+# --8<-- [end:to_polars]
+
+# --8<-- [start:to_arrow_series]
+arrow_chunked_array = pa.array(df["foo"])
+print(arrow_chunked_array)
+# --8<-- [end:to_arrow_series]
+
+# --8<-- [start:to_polars_series]
+polars_series = pl.Series(arrow_chunked_array)
+print(polars_series)
+# --8<-- [end:to_polars_series]
+
+# --8<-- [start:to_arrow_array_rechunk]
+arrow_array = pa.array(df["foo"])
+print(arrow_array)
+# --8<-- [end:to_arrow_array_rechunk]
diff --git a/docs/user-guide/misc/arrow.md b/docs/user-guide/misc/arrow.md
index e006a9bdf528..941cbd9fb6c9 100644
--- a/docs/user-guide/misc/arrow.md
+++ b/docs/user-guide/misc/arrow.md
@@ -31,10 +31,106 @@ bar: [["ham","spam","jam"]]
 
 Importing from pyarrow can be achieved with `pl.from_arrow`.
 
+## Using the Arrow PyCapsule Interface
+
+As of Polars v1.3 and higher, Polars implements the [Arrow PyCapsule Interface](https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html), a protocol for sharing Arrow data across Python libraries.
+
+### Exporting data from Polars to pyarrow
+
+To convert a Polars `DataFrame` to a `pyarrow.Table`, use the `pyarrow.table` constructor:
+
+!!! note
+
+    This requires pyarrow v15 or higher.
+
+{{code_block('user-guide/misc/arrow_pycapsule','to_arrow',[])}}
+
+```
+pyarrow.Table
+foo: int64
+bar: string_view
+----
+foo: [[1,2,3]]
+bar: [["ham","spam","jam"]]
+```
+
+To convert a Polars `Series` to a `pyarrow.ChunkedArray`, use the `pyarrow.chunked_array` constructor.
+
+{{code_block('user-guide/misc/arrow_pycapsule','to_arrow_series',[])}}
+
+```
+[
+  [
+    1,
+    2,
+    3
+  ]
+]
+```
+
+You can also pass a `Series` to the `pyarrow.array` constructor to create a contiguous array. Note that this will not be zero-copy if the underlying `Series` had multiple chunks.
+
+{{code_block('user-guide/misc/arrow_pycapsule','to_arrow_array_rechunk',[])}}
+
+```
+[
+  1,
+  2,
+  3
+]
+```
+
+### Importing data from pyarrow to Polars
+
+We can pass the pyarrow `Table` back to Polars by using the `polars.DataFrame` constructor:
+
+{{code_block('user-guide/misc/arrow_pycapsule','to_polars',[])}}
+
+```
+shape: (3, 2)
+┌─────┬──────┐
+│ foo ┆ bar  │
+│ --- ┆ ---  │
+│ i64 ┆ str  │
+╞═════╪══════╡
+│ 1   ┆ ham  │
+│ 2   ┆ spam │
+│ 3   ┆ jam  │
+└─────┴──────┘
+```
+
+Similarly, we can pass the pyarrow `ChunkedArray` or `Array` back to Polars by using the `polars.Series` constructor:
+
+{{code_block('user-guide/misc/arrow_pycapsule','to_polars_series',[])}}
+
+```
+shape: (3,)
+Series: '' [i64]
+[
+	1
+	2
+	3
+]
+```
+
+### Usage with other arrow libraries
+
+There's a [growing list](https://github.com/apache/arrow/issues/39195#issuecomment-2245718008) of libraries that support the PyCapsule Interface directly. Polars `Series` and `DataFrame` objects work automatically with every such library.
+
+### For library maintainers
+
+If you're developing a library that you wish to integrate with Polars, it's suggested to implement the [Arrow PyCapsule Interface](https://arrow.apache.org/docs/format/CDataInterface/PyCapsuleInterface.html) yourself. This comes with a number of benefits:
+
+- Zero-copy exchange for both Polars Series and DataFrame
+- No required dependency on pyarrow.
+- No direct dependency on Polars.
+- Harder to cause memory leaks than handling pointers as raw integers.
+- Automatic zero-copy integration other PyCapsule Interface-supported libraries.
+
 ## Using Polars directly
 
 Polars can also consume and export to and import from the [Arrow C Data Interface](https://arrow.apache.org/docs/format/CDataInterface.html)
-directly. This is recommended for library maintainers that want to interop with Polars without requiring a pyarrow installation.
+directly. This is recommended for libraries that don't support the Arrow PyCapsule Interface and want to interop with Polars without requiring a pyarrow installation.
 
 - To export `ArrowArray` C structs, Polars exposes: `Series._export_arrow_to_c`.
 - To import an `ArrowArray` C struct, Polars exposes `Series._import_arrow_from_c`.