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diff --git a/compiler/tfl-inspect/src/Reader.h b/compiler/tfl-inspect/src/Reader.h
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+++ b/compiler/tfl-inspect/src/Reader.h
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+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * 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.
+ */
+
+#ifndef __READER_H__
+#define __READER_H__
+
+#include <mio/tflite/schema_generated.h>
+
+#include <map>
+#include <string>
+#include <vector>
+
+namespace tflinspect
+{
+
+template <typename T> std::vector<T> as_index_vector(const flatbuffers::Vector<T> *flat_array)
+{
+  std::vector<T> ret(flat_array->Length());
+  for (uint32_t i = 0; i < flat_array->Length(); i++)
+  {
+    ret[i] = flat_array->Get(i);
+  }
+  return ret;
+}
+
+bool is_valid(const tflite::OperatorCode *opcode);
+bool is_custom(const tflite::OperatorCode *opcode);
+std::string opcode_name(const tflite::OperatorCode *opcode);
+const char *tensor_type(const tflite::Tensor *tensor);
+const char *tensor_name(const tflite::Tensor *tensor);
+
+/**
+ * @brief Loads TF lite file and provides helpers to access attributes
+ */
+class Reader
+{
+private:
+  using TFliteSubGraphs_t = flatbuffers::Vector<flatbuffers::Offset<tflite::SubGraph>>;
+  using TFliteBuffers_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Buffer>>;
+  using TFliteTensors_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Tensor>>;
+  using TFliteOperators_t = flatbuffers::Vector<flatbuffers::Offset<tflite::Operator>>;
+
+public:
+  Reader(const tflite::Model *model);
+
+  Reader() = delete;
+
+public:
+  const std::vector<const tflite::OperatorCode *> &opcodes() { return _op_codes; }
+  const TFliteBuffers_t *buffers() { return _buffers; }
+  const TFliteTensors_t *tensors() { return _tensors; }
+  const TFliteOperators_t *operators() { return _operators; }
+  const std::vector<int32_t> &inputs() const { return _inputs; }
+  const std::vector<int32_t> &outputs() const { return _outputs; }
+
+  uint32_t num_subgraph() const { return _subgraphs->Length(); }
+
+  size_t buffer_info(uint32_t buf_idx, const uint8_t **buff_data);
+  tflite::BuiltinOperator builtin_code(const tflite::Operator *op) const;
+  std::string opcode_name(const tflite::Operator *op) const;
+
+public:
+  bool select_subgraph(uint32_t subgraph);
+
+private:
+  const TFliteSubGraphs_t *_subgraphs{nullptr};
+  const TFliteBuffers_t *_buffers{nullptr};
+  const TFliteTensors_t *_tensors{nullptr};
+  const TFliteOperators_t *_operators{nullptr};
+
+  std::vector<const tflite::OperatorCode *> _op_codes;
+  std::vector<int32_t> _inputs;
+  std::vector<int32_t> _outputs;
+};
+
+} // namespace tflinspect
+
+#endif // __READER_H__