diff --git a/model_zoo/official/cv/psenet/export.py b/model_zoo/official/cv/psenet/export.py
new file mode 100755
index 0000000000..8460fccd73
--- /dev/null
+++ b/model_zoo/official/cv/psenet/export.py
@@ -0,0 +1,39 @@
+# Copyright 2020 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+"""
+##############export checkpoint file into air models#################
+"""
+import argparse
+import numpy as np
+
+import mindspore as ms
+from mindspore import Tensor
+from mindspore.train.serialization import load_checkpoint, load_param_into_net, export
+
+from src.config import config
+from src.ETSNET.etsnet import ETSNet
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='checkpoint export to air')
+    parser.add_argument('--checkpoint', type=str, default='', help='checkpoint of psenet (Default: None)')
+    args_opt = parser.parse_args()
+
+    net = ETSNet(config)
+    param_dict = load_checkpoint(args_opt.checkpoint)
+    load_param_into_net(net, param_dict)
+
+    input_arr = Tensor(np.random.uniform(0.0, 1.0, size=[1, 3, config.INFER_LONG_SIZE, config.INFER_LONG_SIZE]),
+                       ms.float32)
+    export(net, input_arr, file_name=config.geir_filename)
diff --git a/model_zoo/official/cv/psenet/src/config.py b/model_zoo/official/cv/psenet/src/config.py
index 8e969a8ac8..2813da8274 100644
--- a/model_zoo/official/cv/psenet/src/config.py
+++ b/model_zoo/official/cv/psenet/src/config.py
@@ -47,4 +47,7 @@ config = ed({
     "TEST_DATASET_SIZE": 500,
     "TEST_BUFFER_SIZE": 4,
     "TEST_DROP_REMAINDER": False,
+
+    # air config
+    'air_filename': 'psenet_bs_1.air',
 })