diff --git a/README.md b/README.md
index 36dea26..048bf2d 100644
--- a/README.md
+++ b/README.md
@@ -129,8 +129,10 @@ retinify::Pipeline pipeline;
 pipeline.Initialize(leftImage.cols, leftImage.rows);
 
 // EXECUTE STEREO MATCHING
-pipeline.Execute(leftImage.ptr<uint8_t>(), leftImage.step[0],
-                 rightImage.ptr<uint8_t>(), rightImage.step[0]);
+pipeline.Execute(leftImage.ptr<uint8_t>(), 
+                 leftImage.step[0],
+                 rightImage.ptr<uint8_t>(), 
+                 rightImage.step[0]);
 
 // RETRIEVE DISPARITY
 pipeline.RetrieveDisparity(disparity.ptr<float>(), disparity.step[0]);
@@ -164,14 +166,17 @@ retinify::LoadCalibrationParameters("path/to/calib.json", calibParams);
 retinify::Pipeline pipeline;
 
 // INITIALIZE THE PIPELINE WITH CALIBRATION PARAMETERS
-pipeline.Initialize(leftImage.cols, leftImage.rows, 
+pipeline.Initialize(leftImage.cols, 
+                    leftImage.rows, 
                     retinify::PixelFormat::RGB8, 
                     retinify::DepthMode::ACCURATE, 
                     calibParams);
 
 // EXECUTE STEREO MATCHING
-pipeline.Execute(leftImage.ptr<uint8_t>(), leftImage.step[0],
-                 rightImage.ptr<uint8_t>(), rightImage.step[0]);
+pipeline.Execute(leftImage.ptr<uint8_t>(), 
+                 leftImage.step[0],
+                 rightImage.ptr<uint8_t>(), 
+                 rightImage.step[0]);
 
 // RETRIEVE DISPARITY
 pipeline.RetrieveDisparity(disparity.ptr<float>(), disparity.step[0]);
@@ -198,7 +203,7 @@ pipeline.RetrievePointCloud(pointCloud.ptr<float>(), pointCloud.step[0]);
   Guided explanations of retinify concepts
 
 - 🎯 [**Calibration**](https://docs.retinify.ai/calibration.html)  
-  Calibration Parameters Specification
+  Calibration parameters specification
 
 - 🐍 [**Python Docs**](https://docs.retinify.ai/python.html)  
   Python API documentation
diff --git a/docs/content/cpp.md b/docs/content/cpp.md
index 159de68..dda3862 100644
--- a/docs/content/cpp.md
+++ b/docs/content/cpp.md
@@ -69,8 +69,10 @@ if (!statusInitialize.IsOK())
 }
 
 // EXECUTE STEREO MATCHING
-auto statusExecute = pipeline.Execute(leftImage.ptr<std::uint8_t>(), leftImage.step[0], 
-                                      rightImage.ptr<std::uint8_t>(), rightImage.step[0]);
+auto statusExecute = pipeline.Execute(leftImage.ptr<std::uint8_t>(), 
+                                      leftImage.step[0], 
+                                      rightImage.ptr<std::uint8_t>(), 
+                                      rightImage.step[0]);
 if (!statusExecute.IsOK())
 {
     return 1;
@@ -128,8 +130,10 @@ if (!statusInitialize.IsOK())
 }
 
 // EXECUTE STEREO MATCHING
-auto statusExecute = pipeline.Execute(leftImage.ptr<std::uint8_t>(), leftImage.step[0], 
-                                      rightImage.ptr<std::uint8_t>(), rightImage.step[0]);
+auto statusExecute = pipeline.Execute(leftImage.ptr<std::uint8_t>(), 
+                                      leftImage.step[0], 
+                                      rightImage.ptr<std::uint8_t>(), 
+                                      rightImage.step[0]);
 if (!statusExecute.IsOK())
 {
     return 1;
diff --git a/docs/content/index.md b/docs/content/index.md
index 8f45c1b..10f2126 100644
--- a/docs/content/index.md
+++ b/docs/content/index.md
@@ -3,7 +3,7 @@ Retinify is an advanced AI-powered stereo vision library designed for robotics.
 It enables real-time, high-precision 3D perception by leveraging GPU and NPU acceleration.
 
 @note
-Retinify is open-source, and the source code is publicly available:  
+The source code is publicly available:  
 👉 [**View on GitHub**](https://github.com/retinify/retinify)
   
 [![UBUNTU 24.04](https://img.shields.io/badge/-UBUNTU%2024%2E04-orange?style=flat-square&logo=ubuntu&logoColor=white)](https://releases.ubuntu.com/noble/)
@@ -16,7 +16,25 @@ Retinify is open-source, and the source code is publicly available:
 [![LinkedIn](https://img.shields.io/badge/LinkedIn-@retinify-blue?style=flat-square&logo=linkedin)](https://www.linkedin.com/company/retinify)
 [![YouTube](https://img.shields.io/badge/Watch-%40retinify-red?style=flat-square&logo=youtube)](https://www.youtube.com/@retinify_ai)
 
+
+### The retinify pipeline
+
+<img src="https://raw.githubusercontent.com/retinify/assets/main/videos/gpu_pipeline.gif" style="width:50%;">
+
+The main functionality of retinify is accessible through retinify::Pipeline.
+  
+**GPU-Based Computing:**  
+All processing required for stereo depth estimation — including image remapping (undistortion and rectification), stereo matching, and 3D reprojection — is executed entirely on the GPU, enabling efficient and real-time performance.
+
+**AI-Powered Stereo Matching:**  
+Stereo correspondence is computed using deep learning–based models, delivering significantly higher accuracy and robustness compared to traditional stereo matching algorithms.
+
+**Flexible Integration:**  
+The pipeline is camera-agnostic and supports any pinhole stereo camera setup. Input images are handled via raw pointers and strides, allowing seamless integration without dependencies on specific image processing libraries.
+
+
 ### Getting started
+
 - [Installation](@ref installation)  
 - [Demos](@ref demos)  
 - [Tutorials](@ref tutorials)  
@@ -25,6 +43,8 @@ Retinify is open-source, and the source code is publicly available:
 - [C++ Docs](@ref cpp)  
 - [ROS2 Docs](@ref ros2)  
 
+
 ### Contact
+
 For all inquiries, including support, collaboration, please contact:  
 [contact@retinify.ai](mailto:contact@retinify.ai)