diff --git a/src/ImageProcessing/Agents.fs b/src/ImageProcessing/Agents.fs
index e0fe625..0d85d9d 100644
--- a/src/ImageProcessing/Agents.fs
+++ b/src/ImageProcessing/Agents.fs
@@ -2,6 +2,10 @@ module Agents
 
 open MyImage
 
+/// <summary>
+/// Represents a logger, which receives messages and prints them
+/// to the console
+/// </summary>
 let logger =
 
     MailboxProcessor.Start(fun inbox ->
@@ -11,10 +15,20 @@ let logger =
                 printfn $"{message}"
         })
 
+/// <summary>
+/// Represents a message type that can either contain an image or
+/// an end-of-stream signal, which is used with an asynchronous reply
+/// channel
+/// </summary>
 type imageMessage =
     | Image of MyImage
     | EOS of AsyncReplyChannel<unit>
 
+/// <summary>
+/// Defines an image saver agent that listens to image-messages and
+/// saves them to a specified output directory
+/// </summary>
+/// <param name="outputDirectory">The directory where the images will be saved.</param>
 let imageSaver outputDirectory =
 
     let initial (inbox: MailboxProcessor<imageMessage>) =
@@ -35,6 +49,12 @@ let imageSaver outputDirectory =
 
     MailboxProcessor.Start initial
 
+/// <summary>
+/// Defines an image processing agent that listens to image-messages and
+/// applies the given function
+/// </summary>
+/// <param name="imageEditor">The image editing function to apply to incoming images.</param>
+/// <param name="receiver">The MailboxProcessor that receives the processed images.</param>
 let imageProcessor imageEditor (receiver: MailboxProcessor<_>) =
 
     let initial (inbox: MailboxProcessor<imageMessage>) =
@@ -56,10 +76,21 @@ let imageProcessor imageEditor (receiver: MailboxProcessor<_>) =
 
     MailboxProcessor.Start initial
 
+/// <summary>
+/// Represents a message type encapsulated either a string path
+/// or an end-of-stream message, which is used with an asynchronous
+/// reply channel
+/// </summary>
 type pathMessage =
     | Path of string
     | EOS of AsyncReplyChannel<unit>
 
+/// <summary>
+/// Creates an image processing and saving MailboxProcessor that continuously receives path messages from
+/// an input mailbox. It loads, edits, and saves images to the specified output directory
+/// </summary>
+/// <param name="imageEditor">The image editing function to apply to the loaded images.</param>
+/// <param name="outputDirectory">The directory where the edited images will be saved.</param>
 let imageFullProcessor imageEditor outputDirectory =
 
     let initial (inbox: MailboxProcessor<pathMessage>) =
diff --git a/src/ImageProcessing/ArguCommands.fs b/src/ImageProcessing/ArguCommands.fs
index 02afb77..a6f3c0c 100644
--- a/src/ImageProcessing/ArguCommands.fs
+++ b/src/ImageProcessing/ArguCommands.fs
@@ -2,6 +2,9 @@ module ArguCommands
 
 open Argu
 
+/// <summary>
+/// Represents the available CPU/GPU platforms for image processing.
+/// </summary>
 type ArguProcessingUnits =
     | CPU
     | NvidiaGPU
diff --git a/src/ImageProcessing/CPU.fs b/src/ImageProcessing/CPU.fs
index 5812954..bca48de 100644
--- a/src/ImageProcessing/CPU.fs
+++ b/src/ImageProcessing/CPU.fs
@@ -2,6 +2,12 @@ module CPU
 
 open MyImage
 
+/// <summary>
+/// Applies a filter to an input image
+/// </summary>
+/// <param name="filter">The filter kernel to apply to the image.</param>
+/// <param name="image">The input image to process.</param>
+/// <returns>A new processed image</returns>
 let applyFilter filter (image: MyImage) =
 
     let filterDiameter = (Array2D.length1 filter) / 2
@@ -24,6 +30,12 @@ let applyFilter filter (image: MyImage) =
 
     MyImage(Array.mapi (fun p _ -> byte (pixelProcessing p)) image.Data, image.Width, image.Height, image.Name)
 
+/// <summary>
+/// Rotates an input image either clockwise or counterclockwise.
+/// </summary>
+/// <param name="isClockwise">True to rotate the image clockwise or false for counterclockwise rotation.</param>
+/// <param name="image">The input image to rotate.</param>
+/// <returns>A new rotated image</returns>
 let rotate (isClockwise: bool) (image: MyImage) =
 
     let buffer = Array.zeroCreate (image.Width * image.Height)
@@ -39,6 +51,12 @@ let rotate (isClockwise: bool) (image: MyImage) =
 
     MyImage(buffer, image.Height, image.Width, image.Name)
 
+/// <summary>
+/// Flips an input image either vertically or horizontally.
+/// </summary>
+/// <param name="isVertical">True to flip the image vertically or false for horizontal flip.</param>
+/// <param name="image">The input image to flip.</param>
+/// <returns>A new flipped image</returns>
 let flip (isVertical: bool) (image: MyImage) =
 
     let buffer = Array.zeroCreate (image.Height * image.Width)
diff --git a/src/ImageProcessing/GPU.fs b/src/ImageProcessing/GPU.fs
index b764059..e6e7727 100644
--- a/src/ImageProcessing/GPU.fs
+++ b/src/ImageProcessing/GPU.fs
@@ -2,6 +2,16 @@ module GPU
 
 open Brahma.FSharp
 
+/// <summary>
+/// Creates compiled GPU filter kernel.
+/// </summary>
+/// <param name="clContext">The representation of OpenCL context.</param>
+/// <param name="localWorkSize">The size of the local work group.</param>
+/// <returns>
+/// A function that takes a command queue, filter parameters, image data, and result array as inputs
+/// and asynchronously applies the filter kernel to the image using the GPU.
+/// The resulting image data is stored in the result array.
+/// </returns>
 let applyFilterGPUKernel (clContext: ClContext) localWorkSize =
 
     let kernel =
@@ -36,6 +46,16 @@ let applyFilterGPUKernel (clContext: ClContext) localWorkSize =
         commandQueue.Post(Msg.CreateRunMsg<INDRange, obj> kernel)
         result
 
+/// <summary>
+/// Creates compiled GPU rotation kernel.
+/// </summary>
+/// <param name="clContext">The representation of OpenCL context.</param>
+/// <param name="localWorkSize">The size of the local work group.</param>
+/// <returns>
+/// A function that takes a command queue, rotation parameter, image data, and result array as inputs
+/// and asynchronously rotates the image using the GPU.
+/// The resulting image data is stored in the result array.
+/// </returns>
 let rotateGPUKernel (clContext: ClContext) localWorkSize =
 
     let kernel =
@@ -63,6 +83,16 @@ let rotateGPUKernel (clContext: ClContext) localWorkSize =
         commandQueue.Post(Msg.CreateRunMsg<INDRange, obj> kernel)
         result
 
+/// <summary>
+/// Creates compiled GPU flip kernel.
+/// </summary>
+/// <param name="clContext">The representation of OpenCL context.</param>
+/// <param name="localWorkSize">The size of the local work group.</param>
+/// <returns>
+/// A function that takes a command queue, flip parameter, image data, and result array as inputs
+/// and asynchronously flips the image using the GPU.
+/// The resulting image data is stored in the result array.
+/// </returns>
 let flipGPUKernel (clContext: ClContext) localWorkSize =
 
     let kernel =
@@ -90,6 +120,14 @@ let flipGPUKernel (clContext: ClContext) localWorkSize =
         commandQueue.Post(Msg.CreateRunMsg<INDRange, obj> kernel)
         result
 
+/// <summary>
+/// Applies a filter to the specified image using GPU.
+/// </summary>
+/// <param name="clContext">The representation of OpenCL context.</param>
+/// <param name="localWorkSize">The size of the local work group.</param>
+/// <returns>
+/// A function that takes a filter kernel and an image, and asynchronously applies the filter to the image using GPU.
+/// </returns>
 let applyFilter (clContext: ClContext) (localWorkSize: int) =
 
     let applyFilterKernel = applyFilterGPUKernel clContext localWorkSize
@@ -120,6 +158,15 @@ let applyFilter (clContext: ClContext) (localWorkSize: int) =
 
         MyImage.MyImage(result, image.Width, image.Height, image.Name)
 
+/// <summary>
+/// Rotates the image clockwise or counterclockwise using GPU.
+/// </summary>
+/// <param name="clContext">The representation of OpenCL context.</param>
+/// <param name="localWorkSize">The size of the local work group.</param>
+/// <returns>
+/// A function that takes a boolean value indicating the rotation direction,
+/// and an image, and asynchronously rotates the image using the GPU.
+/// </returns>
 let rotate (clContext: ClContext) (localWorkSize: int) =
 
     let rotateKernel = rotateGPUKernel clContext localWorkSize
@@ -147,6 +194,15 @@ let rotate (clContext: ClContext) (localWorkSize: int) =
 
         MyImage.MyImage(result, image.Height, image.Width, image.Name)
 
+/// <summary>
+/// Flips the image vertically or horizontally using GPU.
+/// </summary>
+/// <param name="clContext">The representation of OpenCL context.</param>
+/// <param name="localWorkSize">The size of the local work group.</param>
+/// <returns>
+/// A function that takes a boolean value indicating the flip direction,
+/// and an image, and asynchronously flips the image using the GPU.
+/// </returns>
 let flip (clContext: ClContext) (localWorkSize: int) =
 
     let flipKernel = flipGPUKernel clContext localWorkSize
diff --git a/src/ImageProcessing/Helper.fs b/src/ImageProcessing/Helper.fs
index d8e648b..3ed516b 100644
--- a/src/ImageProcessing/Helper.fs
+++ b/src/ImageProcessing/Helper.fs
@@ -1,5 +1,10 @@
 module Helper
 
+/// <summary>
+/// Converts a 2D array to a flat 1D array
+/// </summary>
+/// <param name="array2D">The input 2D array to be flattened</param>
+/// <returns>A 1D array containing all the elements of the input 2D array.</returns>
 let toFlatArray array2D =
     seq {
         for x in [ 0 .. (Array2D.length1 array2D) - 1 ] do
@@ -8,5 +13,11 @@ let toFlatArray array2D =
     }
     |> Array.ofSeq
 
+/// <summary>
+/// Generates a file path by combining an output directory and an image name.
+/// </summary>
+/// <param name="outputDirectory">The directory where the file will be located.</param>
+/// <param name="imageName">The name of the file or image.</param>
+/// <returns>A full file path obtained by combining the output directory and image name.</returns>
 let generatePath outputDirectory (imageName: string) =
     System.IO.Path.Combine(outputDirectory, imageName)
diff --git a/src/ImageProcessing/Kernels.fs b/src/ImageProcessing/Kernels.fs
index 759663f..8a2348c 100644
--- a/src/ImageProcessing/Kernels.fs
+++ b/src/ImageProcessing/Kernels.fs
@@ -1,16 +1,31 @@
 module Kernels
 
+/// <summary>
+/// Represents a Gaussian blur kernel for filter applying on CPU  as a 2D array
+/// </summary>
 let gaussianBlurKernel =
     array2D [ [ 1; 4; 6; 4; 1 ]; [ 4; 16; 24; 16; 4 ]; [ 6; 24; 36; 24; 6 ]; [ 4; 16; 24; 16; 4 ]; [ 1; 4; 6; 4; 1 ] ]
     |> Array2D.map (fun x -> (float32 x) / 256.0f)
 
+/// <summary>
+/// Represents a edges kernel for filter applying on CPU as a 2D array
+/// </summary>
 let edgesKernel =
     array2D [ [ 0; 0; -1; 0; 0 ]; [ 0; 0; -1; 0; 0 ]; [ 0; 0; 2; 0; 0 ]; [ 0; 0; 0; 0; 0 ]; [ 0; 0; 0; 0; 0 ] ]
     |> Array2D.map float32
 
+/// <summary>
+/// Represents a darken kernel for filter applying on CPU as a 2D array
+/// </summary>
 let darkenKernel = array2D [ [ 2 ] ] |> Array2D.map (fun x -> (float32 x) / 10.0f)
 
+/// <summary>
+/// Represents a lighten kernel for filter applying on CPU as a 2D array
+/// </summary>
 let lightenKernel = array2D [ [ 2 ] ] |> Array2D.map float32
 
+/// <summary>
+/// Represents a sharpen kernel for filter applying on CPU as a 2D array
+/// </summary>
 let sharpenKernel =
     array2D [ [ 0; -1; 0 ]; [ -1; 5; -1 ]; [ 0; -1; -0 ] ] |> Array2D.map float32
diff --git a/src/ImageProcessing/MyImage.fs b/src/ImageProcessing/MyImage.fs
index 3ac8733..419bce9 100644
--- a/src/ImageProcessing/MyImage.fs
+++ b/src/ImageProcessing/MyImage.fs
@@ -3,6 +3,9 @@ module MyImage
 open SixLabors.ImageSharp
 open SixLabors.ImageSharp.PixelFormats
 
+/// <summary>
+/// Encapsulates an image, which includes both the byte pixel data and its associated attributes.
+/// </summary>
 type MyImage =
     val Data: array<byte>
     val Width: int
@@ -15,6 +18,10 @@ type MyImage =
           Height = height
           Name = name }
 
+/// <summary>
+/// Loads the image located at the specified file path.
+/// </summary>
+/// <param name="filePath">The path where the image is located. The image name and extension are required.</param>
 let load (filePath: string) =
 
     let image = Image.Load<L8> filePath
@@ -23,6 +30,11 @@ let load (filePath: string) =
 
     MyImage(buffer, image.Width, image.Height, System.IO.Path.GetFileName filePath)
 
+/// <summary>
+/// Saves the image to the specified directory in the same extension as the input.
+/// </summary>
+/// <param name="image">Saved image.</param>
+/// <param name="filePath">Path to the directory where the image will be saved.</param>
 let save (image: MyImage) filePath =
 
     let image = Image.LoadPixelData<L8>(image.Data, image.Width, image.Height)
diff --git a/src/ImageProcessing/Process.fs b/src/ImageProcessing/Process.fs
index 821f85b..12b678a 100644
--- a/src/ImageProcessing/Process.fs
+++ b/src/ImageProcessing/Process.fs
@@ -5,12 +5,18 @@ open MyImage
 open Kernels
 open Brahma.FSharp
 
+/// <summary>
+/// Specifies the level of agents support.
+/// </summary>
 type AgentsSupport =
     | Full // Uses a single agent to open, process and save
     | Partial // Uses different agents for each transformation and saving
     | PartialUsingComposition // Uses one agent for transformation and one for save
     | No // Uses naive image processing function
 
+/// <summary>
+/// Represents the available image transformations.
+/// </summary>
 type Transformations =
     | Gauss
     | Sharpen
@@ -22,10 +28,20 @@ type Transformations =
     | FlipV // Vertical flip
     | FlipH // Horizontal flip
 
+/// <summary>
+/// Represents processing device.
+/// </summary>
 type ProcessingUnits =
     | CPU
     | GPU of Platform
 
+/// <summary>
+/// Parses an image transformation and returns the corresponding CPU-based transformation function.
+/// </summary>
+/// <param name="transformation">The transformation type to apply.</param>
+/// <returns>
+/// A CPU-based transformation function corresponding to the specified transformation type.
+/// </returns>
 let transformationsParserCPU transformation =
     match transformation with
     | Gauss -> CPU.applyFilter gaussianBlurKernel
@@ -38,6 +54,15 @@ let transformationsParserCPU transformation =
     | FlipV -> CPU.rotate true
     | FlipH -> CPU.flip false
 
+/// <summary>
+/// Generates GPU kernel functions for applying various image transformations.
+/// </summary>
+/// <param name="clContext">The OpenCL context for GPU processing.</param>
+/// <param name="localWorkSize">The local work size for GPU computation.</param>
+/// <returns>
+/// A function that takes a transformation type and returns the corresponding GPU
+/// kernel function for applying the specified transformation.
+/// </returns>
 let transformationsParserGPU (clContext: ClContext) (localWorkSize: int) =
 
     let applyFilterKernel = GPU.applyFilter clContext localWorkSize
@@ -56,6 +81,14 @@ let transformationsParserGPU (clContext: ClContext) (localWorkSize: int) =
         | FlipV -> flipKernel true
         | FlipH -> flipKernel false
 
+/// <summary>
+/// Processes images located at the specified input path and saves the processed images to the specified output path.
+/// </summary>
+/// <param name="inputPath">The path where the input images are located.</param>
+/// <param name="outputPath">The path where the processed images will be saved.</param>
+/// <param name="processingUnit">The GPU platform to be used for processing.</param>
+/// <param name="imageEditorsList">A list of functions to be applied to the images.</param>
+/// <param name="agentsSupport">Specifies the level of agent support.</param>
 let processImages inputPath outputPath processingUnit imageEditorsList agentsSupport =
 
     let listAllImages directory =