diff --git a/modules/ml/include/opencv2/ml.hpp b/modules/ml/include/opencv2/ml.hpp
index 5e633c4d0a..619664ba30 100644
--- a/modules/ml/include/opencv2/ml.hpp
+++ b/modules/ml/include/opencv2/ml.hpp
@@ -827,6 +827,20 @@ public:
         return model->isTrained() ? model : Ptr<_Tp>();
     }
 
+    /** @brief Loads model from a String
+    @param strModel The string variable containing the model you want to load.
+
+    This is static template method of StatModel. It's usage is following (in the case of SVM):
+        Ptr<SVM> svm = StatModel::loadFromString<SVM>(myStringModel);
+     */
+    template<typename _Tp> static Ptr<_Tp> loadFromString(const String& strModel)
+    {
+        FileStorage fs(strModel, FileStorage::READ + FileStorage::MEMORY);
+        Ptr<_Tp> model = _Tp::create();
+        model->read(fs.getFirstTopLevelNode());
+        return model->isTrained() ? model : Ptr<_Tp>();
+    }
+
     template<typename _Tp> static Ptr<_Tp> train(const Ptr<TrainData>& data, const typename _Tp::Params& p, int flags=0)
     {
         Ptr<_Tp> model = _Tp::create(p);
@@ -1511,6 +1525,7 @@ public:
     };
 
     /** @brief The class represents a decision tree node. It has public members:
+
     -   member double value
     Value at the node: a class label in case of classification or estimated function value in case
     of regression.