diff --git a/nerfstudio/process_data/record3d_utils.py b/nerfstudio/process_data/record3d_utils.py
index 50212c2b2..45867bd48 100644
--- a/nerfstudio/process_data/record3d_utils.py
+++ b/nerfstudio/process_data/record3d_utils.py
@@ -75,7 +75,6 @@ def record3d_to_json(
 
     # Camera intrinsics
     K = np.array(metadata_dict["K"]).reshape((3, 3)).T
-    focal_length = K[0, 0]
 
     H = metadata_dict["h"]
     W = metadata_dict["w"]
@@ -85,8 +84,8 @@ def record3d_to_json(
     cx, cy = W / 2, H / 2
 
     out = {
-        "fl_x": focal_length,
-        "fl_y": focal_length,
+        "fl_x": K[0, 0],
+        "fl_y": K[1, 1],
         "cx": cx,
         "cy": cy,
         "w": W,
diff --git a/tests/process_data/test_record3d_intrinsics.py b/tests/process_data/test_record3d_intrinsics.py
new file mode 100644
index 000000000..7479e5d42
--- /dev/null
+++ b/tests/process_data/test_record3d_intrinsics.py
@@ -0,0 +1,17 @@
+import json
+from pathlib import Path
+
+import numpy as np
+
+from nerfstudio.process_data.record3d_utils import record3d_to_json
+
+
+def test_record3d_preserves_distinct_focal_lengths(tmp_path: Path):
+    intrinsics = np.array([[500, 0, 320], [0, 525, 240], [0, 0, 1]], dtype=float)
+    metadata = {"K": intrinsics.T.flatten().tolist(), "h": 480, "w": 640, "poses": [[0, 0, 0, 1, 0, 0, 0]]}
+    path = tmp_path / "metadata.json"
+    path.write_text(json.dumps(metadata))
+    record3d_to_json([Path("frame.png")], path, tmp_path, np.array([0]), None, None)
+
+    output = json.loads((tmp_path / "transforms.json").read_text())
+    assert (output["fl_x"], output["fl_y"]) == (500, 525)