diff --git a/docs/OV_Runtime_UG/Samples_Overview.md b/docs/OV_Runtime_UG/Samples_Overview.md
index b53d0562fcc..c5c1e277b13 100644
--- a/docs/OV_Runtime_UG/Samples_Overview.md
+++ b/docs/OV_Runtime_UG/Samples_Overview.md
@@ -81,7 +81,7 @@ To run the sample, you can use [public](@ref omz_models_group_public) or [Intel'
 
 ## Build the Sample Applications
 
-### <a name="build_samples_linux"></a>Build the Sample Applications on Linux
+### <a name="build-samples-linux"></a>Build the Sample Applications on Linux
 
 The officially supported Linux* build environment is the following:
 
@@ -132,7 +132,7 @@ make
 For the release configuration, the sample application binaries are in `<path_to_build_directory>/intel64/Release/`;
 for the debug configuration — in `<path_to_build_directory>/intel64/Debug/`.
 
-### <a name="build_samples_windows"></a>Build the Sample Applications on Microsoft Windows
+### <a name="build-samples-windows"></a>Build the Sample Applications on Microsoft Windows
 
 The recommended Windows build environment is the following:
 * Microsoft Windows 10
@@ -156,7 +156,7 @@ You can also build a generated solution manually. For example, if you want to bu
 Microsoft Visual Studio and open the generated solution file from the `C:\Users\<user>\Documents\Intel\OpenVINO\inference_engine_cpp_samples_build\Samples.sln`
 directory.
 
-### <a name="build_samples_macos"></a>Build the Sample Applications on macOS*
+### <a name="build-samples-macos"></a>Build the Sample Applications on macOS*
 
 The officially supported macOS* build environment is the following:
 
diff --git a/docs/install_guides/installing-openvino-from-archive-linux.md b/docs/install_guides/installing-openvino-from-archive-linux.md
index 76dcbf20fab..56ea9f9be7c 100644
--- a/docs/install_guides/installing-openvino-from-archive-linux.md
+++ b/docs/install_guides/installing-openvino-from-archive-linux.md
@@ -149,7 +149,7 @@ Start with some Python tutorials:
    * [Convert TensorFlow models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/101-tensorflow-to-openvino-with-output.html)
    * [Convert a PyTorch model and remove the image background](https://docs.openvino.ai/latest/notebooks/205-vision-background-removal-with-output.html)
 
-To start with C++ samples, see [Build Sample Applications on Linux](../OV_Runtime_UG/Samples_Overview.md#build_samples_linux) first, and then you can try the following samples:
+To start with C++ samples, see <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-linux">Build Sample Applications on Linux</a> first, and then you can try the following samples:
    * [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
    * [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)
    * [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)
diff --git a/docs/install_guides/installing-openvino-from-archive-macos.md b/docs/install_guides/installing-openvino-from-archive-macos.md
index e42001e1799..f89325ae140 100644
--- a/docs/install_guides/installing-openvino-from-archive-macos.md
+++ b/docs/install_guides/installing-openvino-from-archive-macos.md
@@ -104,7 +104,7 @@ Start with some Python tutorials:
    * [Convert TensorFlow models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/101-tensorflow-to-openvino-with-output.html)
    * [Convert a PyTorch model and remove the image background](https://docs.openvino.ai/latest/notebooks/205-vision-background-removal-with-output.html)
 
-To start with C++ samples, see [Build Sample Applications on macOS](../OV_Runtime_UG/Samples_Overview.md#build_samples_macos) first, and then you can try the following samples:
+To start with C++ samples, see <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-macos">Build Sample Applications on macOS</a> first, and then you can try the following samples:
    * [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
    * [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)
    * [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)
diff --git a/docs/install_guides/installing-openvino-from-archive-windows.md b/docs/install_guides/installing-openvino-from-archive-windows.md
index 362362eeb9b..bf8894c4ca0 100644
--- a/docs/install_guides/installing-openvino-from-archive-windows.md
+++ b/docs/install_guides/installing-openvino-from-archive-windows.md
@@ -136,7 +136,7 @@ Start with some Python tutorials:
    * [Convert TensorFlow models with OpenVINO™](https://docs.openvino.ai/latest/notebooks/101-tensorflow-to-openvino-with-output.html)
    * [Convert a PyTorch model and remove the image background](https://docs.openvino.ai/latest/notebooks/205-vision-background-removal-with-output.html)
 
-To start with C++ samples, see [Build Sample Applications on Windows](../OV_Runtime_UG/Samples_Overview.md#build_samples_windows) first, and then you can try the following samples:
+To start with C++ samples, see <a href="openvino_docs_OV_UG_Samples_Overview.html#build-samples-windows">Build Sample Applications on Windows</a> first, and then you can try the following samples:
    * [Hello Classification C++ Sample](@ref openvino_inference_engine_samples_hello_classification_README)
    * [Hello Reshape SSD C++ Sample](@ref openvino_inference_engine_samples_hello_reshape_ssd_README)
    * [Image Classification Async C++ Sample](@ref openvino_inference_engine_samples_classification_sample_async_README)