diff --git a/Draw.md b/Draw.md
new file mode 100644
index 0000000..faef0a1
--- /dev/null
+++ b/Draw.md
@@ -0,0 +1,58 @@
+# Draw Methods
+
+`Human` library includes built-in Canvas draw methods
+
+- [human.draw.options](https://vladmandic.github.io/human/typedoc/interfaces/DrawOptions.html)  
+  currenntly set draw options, can be overriden in each method  
+  used to set line/text colors, line width, font type, label templates, etc.  
+- [human.draw.canvas](https://vladmandic.github.io/human/typedoc/functions/draw.canvas.html)  
+  simply input (video, canvas, image, etc.) to output canvas  
+  as it was after processing (see [filters](https://vladmandic.github.io/human/typedoc/interfaces/FilterConfig.html))  
+- [human.draw.all](https://vladmandic.github.io/human/typedoc/functions/draw.all.html)  
+  meta function that executes draw for `face`, `hand`, `body`, `object`, `gestures` for all detected features
+- [human.draw.person](https://vladmandic.github.io/human/typedoc/functions/draw.all.html)  
+  meta function that executes draw for `face`, `hand`, `body`, `object`, `gestures` for all detected features beloning to a  specific person
+- `human.draw.[face|hand|body|object|gestures]`  
+  draws **points**, **boxes**, **polygones** and **labels** for each detected feature as defined in `draw.options`
+
+## Labels
+
+If `options.drawLabels` is enabled (default)
+- Labels for each feature are parsed using templates  
+- Label templates can use built-in values in `[]` or be provided as any string literal
+- Labels for each feature are set relative to the top-left of the detection box of that feature (face, hand, body, object, etc.)  
+- Draw methods automatically handle multi-line labels and vertical spacing
+- Built-in unmatched label templates not matched are removed
+
+## Default Label Templates
+
+```js
+  faceLabels: `face
+    confidence: [score]%
+    [gender] [genderScore]%
+    age: [age] years
+    distance: [distance]cm
+    real: [real]%
+    live: [live]%
+    [emotions]
+    roll: [roll]° yaw:[yaw]° pitch:[pitch]°
+    gaze: [gaze]°`,
+  bodyLabels: 'body [score]%',
+  bodyPartLabels: '[label] [score]%',
+  objectLabels: '[label] [score]%',
+  handLabels: '[label] [score]%',
+  fingerLabels: '[label]',
+  gestureLabels: '[where] [who]: [what]',
+```
+
+## Example
+
+Example of custom labels:
+```js
+import * as Human from '@vladmandic/human';
+...
+const drawOptions: Partial<Human.DrawOptions> = {
+  bodyLabels: `person confidence is [score]% and has ${human.result?.body?.[0]?.keypoints.length || 'no'} keypoints`,
+};
+human.draw.all(dom.canvas, human.result, drawOptions);
+```
diff --git a/Home.md b/Home.md
index c0a849e..cae925d 100644
--- a/Home.md
+++ b/Home.md
@@ -12,7 +12,8 @@
 **Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis,**  
 **Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition, Body Segmentation**  
 
-JavaScript module using TensorFlow/JS Machine Learning library  
+<br>
+
 ## Highlights
 
 - Compatible with most server-side and client-side environments and frameworks  
@@ -22,6 +23,7 @@ JavaScript module using TensorFlow/JS Machine Learning library
 - Detection of frame changes to trigger only required models for improved performance  
 - Intelligent temporal interpolation to provide smooth results regardless of processing performance  
 - Simple unified API  
+- Built-in Image, Video and WebCam handling
 
 <br>
 
@@ -94,7 +96,8 @@ JavaScript module using TensorFlow/JS Machine Learning library
 - [**Code Repository**](https://github.com/vladmandic/human)
 - [**NPM Package**](https://www.npmjs.com/package/@vladmandic/human)
 - [**Issues Tracker**](https://github.com/vladmandic/human/issues)
-- [**TypeDoc API Specification**](https://vladmandic.github.io/human/typedoc/classes/Human.html)
+- [**TypeDoc API Specification - Main class**](https://vladmandic.github.io/human/typedoc/classes/Human.html)
+- [**TypeDoc API Specification - Full**](https://vladmandic.github.io/human/typedoc/)
 - [**Change Log**](https://github.com/vladmandic/human/blob/main/CHANGELOG.md)
 - [**Current To-do List**](https://github.com/vladmandic/human/blob/main/TODO.md)
 
@@ -105,6 +108,7 @@ JavaScript module using TensorFlow/JS Machine Learning library
 - [**Usage & Functions**](https://github.com/vladmandic/human/wiki/Usage)
 - [**Configuration Details**](https://github.com/vladmandic/human/wiki/Config)
 - [**Result Details**](https://github.com/vladmandic/human/wiki/Result)
+- [**Customizing Draw Methods**](https://github.com/vladmandic/human/wiki/Draw)
 - [**Caching & Smoothing**](https://github.com/vladmandic/human/wiki/Caching)
 - [**Input Processing**](https://github.com/vladmandic/human/wiki/Image)
 - [**Face Recognition & Face Description**](https://github.com/vladmandic/human/wiki/Embedding)
@@ -237,7 +241,7 @@ Additionally, `HTMLVideoElement`, `HTMLMediaElement` can be a standard `<video>`
   e.g.: **HLS** (*HTTP Live Streaming*) using `hls.js` or **DASH** (*Dynamic Adaptive Streaming over HTTP*) using `dash.js`
 - **WebRTC** media track using built-in support  
 
-<br>
+<br><hr><br>
 
 ## Code Examples
 
@@ -346,15 +350,54 @@ const outputCanvas = document.getElementById('canvas-id');
 async function drawResults() {
   const interpolated = human.next(); // get smoothened result using last-known results
   human.draw.all(outputCanvas, interpolated); // draw the frame
-  requestAnimationFrame(drawVideo); // run draw loop
+  requestAnimationFrame(drawResults); // run draw loop
 }
 
 human.video(inputVideo); // start detection loop which continously updates results
 drawResults(); // start draw loop
 ```
 
+or using built-in webcam helper methods that take care of video handling completely:
+
+```js
+const human = new Human(); // create instance of Human
+const outputCanvas = document.getElementById('canvas-id');
+
+async function drawResults() {
+  const interpolated = human.next(); // get smoothened result using last-known results
+  human.draw.canvas(outputCanvas, human.webcam.element); // draw current webcam frame
+  human.draw.all(outputCanvas, interpolated); // draw the frame detectgion results
+  requestAnimationFrame(drawResults); // run draw loop
+}
+
+await human.webcam.start({ crop: true });
+human.video(human.webcam.element); // start detection loop which continously updates results
+drawResults(); // start draw loop
+```
+
 And for even better results, you can run detection in a separate web worker thread
 
+<br><hr><br>
+
+## TypeDefs
+
+`Human` is written using TypeScript strong typing and ships with full **TypeDefs** for all classes defined by the library bundled in `types/human.d.ts` and enabled by default  
+
+*Note*: This does not include embedded `tfjs`  
+If you want to use embedded `tfjs` inside `Human` (`human.tf` namespace) and still full **typedefs**, add this code:
+
+```js
+import type * as tfjs from '@vladmandic/human/dist/tfjs.esm';
+...
+const tf = human.tf as typeof tfjs;
+```
+
+This is not enabled by default as `Human` does not ship with full **TFJS TypeDefs** due to size considerations  
+Enabling `tfjs` TypeDefs as above creates additional project (dev-only as only types are required) dependencies as defined in `@vladmandic/human/dist/tfjs.esm.d.ts`:
+
+    @tensorflow/tfjs-core, @tensorflow/tfjs-converter, @tensorflow/tfjs-backend-wasm, @tensorflow/tfjs-backend-webgl
+
+
 <br><hr><br>
 
 ## Default models
@@ -384,9 +427,9 @@ For more info, see [**Configuration Details**](https://github.com/vladmandic/hum
 
 <br><hr><br>
 
-`Human` library is written in `TypeScript` [4.8](https://www.typescriptlang.org/docs/handbook/intro.html)  
-Conforming to latest `JavaScript` [ECMAScript version 2022](https://262.ecma-international.org/) standard  
-Build target is `JavaScript` [EMCAScript version 2018](https://262.ecma-international.org/11.0/)  
+`Human` library is written in [TypeScript](https://www.typescriptlang.org/docs/handbook/intro.html) **4.8** using [TensorFlow/JS](https://www.tensorflow.org/js/) **4.0** and conforming to latest `JavaScript` [ECMAScript version 2022](https://262.ecma-international.org/) standard  
+
+Build target for distributables is `JavaScript` [EMCAScript version 2018](https://262.ecma-international.org/9.0/)  
 
 <br>