diff --git a/model_zoo/official/cv/cnnctc/export.py b/model_zoo/official/cv/cnnctc/export.py
new file mode 100644
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+++ b/model_zoo/official/cv/cnnctc/export.py
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+# 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
+
+from mindspore import Tensor, context
+import mindspore.common.dtype as mstype
+from mindspore.train.serialization import load_checkpoint, export
+
+from src.config import Config_CNNCTC
+from src.cnn_ctc import CNNCTC_Model
+
+context.set_context(mode=context.GRAPH_MODE, device_target="Ascend")
+
+parser = argparse.ArgumentParser(description='CNNCTC_export')
+parser.add_argument('--ckpt_file', type=str, default='./ckpts/cnn_ctc.ckpt', help='CNN&CTC ckpt file.')
+parser.add_argument('--output_file', type=str, default='cnn_ctc.air', help='CNN&CTC output air name.')
+args_opt = parser.parse_args()
+
+if __name__ == '__main__':
+    cfg = Config_CNNCTC()
+    ckpt_path = cfg.CKPT_PATH
+
+    if args_opt.ckpt_file != "":
+        ckpt_path = args_opt.ckpt_file
+
+    net = CNNCTC_Model(cfg.NUM_CLASS, cfg.HIDDEN_SIZE, cfg.FINAL_FEATURE_WIDTH)
+
+    load_checkpoint(ckpt_path, net=net)
+
+    bs = cfg.TEST_BATCH_SIZE
+
+    input_data = Tensor(np.zeros([bs, 3, cfg.IMG_H, cfg.IMG_W]), mstype.float32)
+
+    export(net, input_data, file_name=args_opt.output_file, file_format="AIR")