diff --git a/docs/guides/cli.md b/docs/guides/cli.md
index ce047d59e..acdba57ef 100644
--- a/docs/guides/cli.md
+++ b/docs/guides/cli.md
@@ -91,9 +91,17 @@ usage: sleap-export [-h] [-m MODELS] [-e [EXPORT_PATH]]
 optional arguments:
   -h, --help            show this help message and exit
   -m MODELS, --model MODELS
-                        Path to trained model directory (with training_config.json). Multiple models can be specified, each preceded by --model.
+                        Path to trained model directory (with training_config.json). Multiple
+                        models can be specified, each preceded by --model.
   -e [EXPORT_PATH], --export_path [EXPORT_PATH]
-                        Path to output directory where the frozen model will be exported to. Defaults to a folder named 'exported_model'.
+                        Path to output directory where the frozen model will be exported to.
+                        Defaults to a folder named 'exported_model'.
+  -u, --unrag UNRAG
+                        Convert ragged tensors into regular tensors with NaN padding.
+                        Defaults to True.
+  -i, --max_instances MAX_INSTANCES
+                        Limit maximum number of instances in multi-instance models.
+                        Defaults to None.
 ```
 
 ## Inference and Tracking
diff --git a/sleap/nn/inference.py b/sleap/nn/inference.py
index dc7962c63..bed6dd1c4 100644
--- a/sleap/nn/inference.py
+++ b/sleap/nn/inference.py
@@ -4353,9 +4353,29 @@ def export_model(
     )
 
 
-def export_cli():
+def export_cli(args: Optional[list] = None):
     """CLI for sleap-export."""
+
+    parser = _make_export_cli_parser()
+
+    args, _ = parser.parse_known_args(args=args)
+    print("Args:")
+    pprint(vars(args))
+    print()
+
+    export_model(
+        args.models,
+        args.export_path,
+        unrag_outputs=args.unrag,
+        max_instances=args.max_instances,
+    )
+
+
+def _make_export_cli_parser() -> argparse.ArgumentParser:
+    """Create argument parser for sleap-export CLI."""
+
     parser = argparse.ArgumentParser()
+
     parser.add_argument(
         "-m",
         "--model",
@@ -4388,7 +4408,7 @@ def export_cli():
         ),
     )
     parser.add_argument(
-        "-m",
+        "-i",
         "--max_instances",
         type=int,
         help=(
@@ -4397,8 +4417,7 @@ def export_cli():
         ),
     )
 
-    args, _ = parser.parse_known_args()
-    export_model(args.models, args.export_path, unrag_outputs=args.unrag)
+    return parser
 
 
 def _make_cli_parser() -> argparse.ArgumentParser:
diff --git a/tests/nn/test_inference.py b/tests/nn/test_inference.py
index a1fbb7353..7e817bd67 100644
--- a/tests/nn/test_inference.py
+++ b/tests/nn/test_inference.py
@@ -41,6 +41,7 @@
     _make_cli_parser,
     _make_tracker_from_cli,
     main as sleap_track,
+    export_cli as sleap_export,
 )
 
 from sleap.gui.learning import runners
@@ -1088,6 +1089,8 @@ def test_single_instance_predictor_save(min_single_instance_robot_model_path, tm
 
     # high level export (with unragging)
     export_model(min_single_instance_robot_model_path, save_path=tmp_path.as_posix())
+    cmd = f"-m {min_single_instance_robot_model_path} -e {tmp_path.as_posix()}"
+    sleap_export(cmd.split())
 
     # high level export (without unragging)
     export_model(