diff --git a/docs/doxygen/ie_docs.xml b/docs/doxygen/ie_docs.xml
index 0132ecede25..b68c0f39d95 100644
--- a/docs/doxygen/ie_docs.xml
+++ b/docs/doxygen/ie_docs.xml
@@ -262,6 +262,7 @@ limitations under the License.
+
diff --git a/docs/ops/activation/SoftMax_8.md b/docs/ops/activation/SoftMax_8.md
new file mode 100644
index 00000000000..170d5802d60
--- /dev/null
+++ b/docs/ops/activation/SoftMax_8.md
@@ -0,0 +1,45 @@
+## SoftMax {#openvino_docs_ops_activation_SoftMax_8}
+
+**Versioned name**: *SoftMax-8*
+
+**Category**: *Activation function*
+
+**Short description**: [Reference](https://github.com/Kulbear/deep-learning-nano-foundation/wiki/ReLU-and-Softmax-Activation-Functions#softmax)
+
+**Detailed description**: [Reference](http://cs231n.github.io/linear-classify/#softmax)
+
+**Attributes**
+
+* *axis*
+
+ * **Description**: *axis* represents the axis of which the *SoftMax* is calculated. Negative value means counting
+ dimensions from the back. *axis* equal 1 is a default value.
+ * **Range of values**: `[-rank, rank - 1]`
+ * **Type**: int
+ * **Default value**: 1
+ * **Required**: *no*
+
+**Mathematical Formulation**
+
+\f[
+y_{c} = \frac{e^{Z_{c}}}{\sum_{d=1}^{C}e^{Z_{d}}}
+\f]
+where \f$C\f$ is a size of tensor along *axis* dimension.
+
+**Inputs**:
+
+* **1**: Input tensor with enough number of dimension to be compatible with *axis* attribute. **Required.**
+
+**Outputs**:
+
+* **1**: The resulting tensor of the same shape and type as input tensor.
+
+**Example**
+
+```xml
+
+
+ ...
+
+
+```
diff --git a/docs/ops/opset8.md b/docs/ops/opset8.md
index 385dfa173a5..657fa4be55d 100644
--- a/docs/ops/opset8.md
+++ b/docs/ops/opset8.md
@@ -152,7 +152,7 @@ declared in `namespace opset8`.
* [Sign](arithmetic/Sign_1.md)
* [Sin](arithmetic/Sin_1.md)
* [Sinh](arithmetic/Sinh_1.md)
-* [SoftMax](activation/SoftMax_1.md)
+* [SoftMax](activation/SoftMax_8.md)
* [SoftPlus](activation/SoftPlus_4.md)
* [SpaceToBatch](movement/SpaceToBatch_2.md)
* [SpaceToDepth](movement/SpaceToDepth_1.md)