diff --git a/Configuration.md b/Configuration.md
index c3133ab..3d4ce34 100644
--- a/Configuration.md
+++ b/Configuration.md
@@ -156,29 +156,6 @@ const config: Config = {
       modelPath: 'emotion.json',  // face emotion model
                              // can be either absolute path or relative to modelBasePath
     },
-
-    age: {
-      enabled: false,        // obsolete, replaced by description module
-      modelPath: 'age.json',  // age model
-                             // can be either absolute path or relative to modelBasePath
-      skipFrames: 33,        // how many frames to go without re-running the detector
-                             // only used for video inputs
-    },
-
-    gender: {
-      enabled: false,        // obsolete, replaced by description module
-      minConfidence: 0.1,    // threshold for discarding a prediction
-      modelPath: 'gender.json',  // gender model
-                             // can be either absolute path or relative to modelBasePath
-      skipFrames: 34,        // how many frames to go without re-running the detector
-                             // only used for video inputs
-    },
-
-    embedding: {
-      enabled: false,        // obsolete, replaced by description module
-      modelPath: 'mobileface.json',  // face descriptor model
-                             // can be either absolute path or relative to modelBasePath
-                            },
   },
 
   body: {
diff --git a/Embedding.md b/Embedding.md
index 0e458b7..a508400 100644
--- a/Embedding.md
+++ b/Embedding.md
@@ -15,7 +15,7 @@ It highlights functionality such as:
 
 ## Usage
 
-To use face simmilaity compare feature, you must first enable `face.embedding` module  
+To use face simmilaity compare feature, you must first enable `face.description` module  
 and calculate embedding vectors for both first and second image you want to compare  
 
 To achieve quality results, it is also highly recommended to have `face.mesh` and `face.detection.rotation`  
@@ -32,7 +32,6 @@ const myConfig = {
     detector: { rotation: true, return: true },
     mesh: { enabled: true },
     description: { enabled: true },
-    // embedding: { enabled: true }, // alternative you can use embedding module instead of description
   },
 };
 
diff --git a/Usage.md b/Usage.md
index a296460..a36d4b6 100644
--- a/Usage.md
+++ b/Usage.md
@@ -25,7 +25,7 @@ or if you want to use promises
   })
 ```
 
-Additionally, `Human` library exposes several objects and methods:
+`Human` library exposes several additional objects and methods:
 
 ```js
   human.version       // string containing version of human library
@@ -39,20 +39,15 @@ Additionally, `Human` library exposes several objects and methods:
   human.image(image, config?) // runs image processing without detection and returns canvas
   human.warmup(config, image? // warms up human library for faster initial execution after loading
                               // if image is not provided, it will generate internal sample
-  human.similarity(embedding1, embedding2) // runs similarity calculation between two provided embedding vectors
-                                            // vectors for source and target must be previously detected using
-                                            // face.embedding module
-  human.enhance(face) // returns enhanced tensor of a previously detected face that can be used for visualizations
 ```
 
 Additional functions used for face recognition:  
 For details, see [embedding documentation](https://github.com/vladmandic/human/wiki/Embedding)
 
-
 ```js
   human.similarity(embedding1, embedding2) // runs similarity calculation between two provided embedding vectors
                                             // vectors for source and target must be previously detected using
-                                            // face.embedding module
+                                            // face.description module
   human.match(embedding, db, threshold)     // finds best match for current face in a provided list of faces
   human.enhance(face) // returns enhanced tensor of a previously detected face that can be used for visualizations
 ```