diff --git a/av/video/format.pyi b/av/video/format.pyi
index 1ee0bc7a7..c63072115 100644
--- a/av/video/format.pyi
+++ b/av/video/format.pyi
@@ -28,3 +28,5 @@ class VideoFormatComponent:
     height: int
 
     def __init__(self, format: VideoFormat, index: int) -> None: ...
+
+names: set[str]
diff --git a/av/video/frame.py b/av/video/frame.py
index 699b1534f..839521cc3 100644
--- a/av/video/frame.py
+++ b/av/video/frame.py
@@ -344,6 +344,7 @@ def _numpy_avbuffer_free(
     "rgbf32le",
     "yuv420p",
     "yuv420p10le",
+    "yuv422p",
     "yuv422p10le",
     "yuv444p",
     "yuv444p16be",
diff --git a/tests/test_videoframe.py b/tests/test_videoframe.py
index a25873f7e..8971a75ef 100644
--- a/tests/test_videoframe.py
+++ b/tests/test_videoframe.py
@@ -755,11 +755,32 @@ def test_ndarray_yuv420p10le_zero_size() -> None:
 def test_ndarray_yuv422p() -> None:
     array = numpy.random.randint(0, 256, size=(960, 640), dtype=numpy.uint8)
     frame = VideoFrame.from_ndarray(array, format="yuv422p")
+    assert "yuv422p" in supported_np_pix_fmts
     assert frame.width == 640 and frame.height == 480
     assert frame.format.name == "yuv422p"
     assertNdarraysEqual(frame.to_ndarray(), array)
 
 
+def test_supported_np_pix_fmts_matches_to_ndarray() -> None:
+    # supported_np_pix_fmts is public API describing what to_ndarray() accepts,
+    # so it is checked against to_ndarray() itself rather than against a list
+    # that would have to be kept in step with it by hand.
+    converts = set()
+    for name in av.video.format.names:
+        try:
+            VideoFrame(32, 16, name).to_ndarray()
+        except Exception:
+            continue
+        converts.add(name)
+
+    assert converts - supported_np_pix_fmts == set()
+
+    # Names that av.video.format.names does not carry are aliases, so the
+    # advertised set is checked directly rather than through the sweep.
+    for name in supported_np_pix_fmts:
+        VideoFrame(32, 16, name).to_ndarray()
+
+
 def test_ndarray_yuv420p_align() -> None:
     array = numpy.random.randint(0, 256, size=(357, 318), dtype=numpy.uint8)
     frame = VideoFrame.from_ndarray(array, format="yuv420p")