diff --git a/README.md b/README.md
index cb57ead..f213f69 100644
--- a/README.md
+++ b/README.md
@@ -6,10 +6,10 @@ esparto
 [![codecov](https://codecov.io/gh/domvwt/esparto/branch/main/graph/badge.svg?token=35J8NZCUYC)](https://codecov.io/gh/domvwt/esparto)
 [![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=domvwt_esparto&metric=alert_status)](https://sonarcloud.io/dashboard?id=domvwt_esparto)
 
-Esparto is a minimal frontend web framework written in Python.
-It aims to be the first choice for designing self-contained documents with productivity as the main concern.
+Esparto is a super minimal frontend web framework written in Python. Its primary use is for generating shareable single page documents
+with content from popular analytics and data science libraries.
 
-Full documentation available at [domvwt.github.io/esparto/](https://domvwt.github.io/esparto/).
+Full documentation and examples at [domvwt.github.io/esparto/](https://domvwt.github.io/esparto/).
 
 ### Features
 * Lightweight API
@@ -18,3 +18,11 @@ Full documentation available at [domvwt.github.io/esparto/](https://domvwt.githu
 * Self contained / inline dependencies
 * Jupyter Notebook support
 * MIT License
+
+## Supported Content
+* Markdown text
+* Images
+* Matplotlib figures
+* Pandas DataFrames
+* Bokeh objects
+* Plotly figures
diff --git a/docs/01-getting-started/esparto-image-screenshot.png b/docs/01-getting-started/esparto-image-screenshot.png
index ef1453e..ba17312 100644
Binary files a/docs/01-getting-started/esparto-image-screenshot.png and b/docs/01-getting-started/esparto-image-screenshot.png differ
diff --git a/docs/01-getting-started/esparto-quickstart-screenshot.png b/docs/01-getting-started/esparto-quickstart-screenshot.png
index 6b38d36..5aaca84 100644
Binary files a/docs/01-getting-started/esparto-quickstart-screenshot.png and b/docs/01-getting-started/esparto-quickstart-screenshot.png differ
diff --git a/docs/01-getting-started/quickstart.md b/docs/01-getting-started/quickstart.md
index be8731d..352d89d 100644
--- a/docs/01-getting-started/quickstart.md
+++ b/docs/01-getting-started/quickstart.md
@@ -29,7 +29,7 @@ my_page.save("esparto-quick.html")
 
 The rendered HTML document:
 
-<img src='../esparto-quickstart-screenshot.png' style='border: 1px dotted lightgrey; width: 80%; height: 80%'>
+<img src='../esparto-quickstart-screenshot.png' style='border: 1px dotted lightgrey; width: 60%; height: auto'>
 
 <br>
 
@@ -45,7 +45,7 @@ Your *content* goes **here!**
 """
 
 my_page += content_md
-my_page += "../notebooks/iris-virginica.jpg"
+my_page += "image.jpg"
 
 html = my_page.save("esparto-quick-image.html")
 ```
@@ -53,7 +53,7 @@ html = my_page.save("esparto-quick-image.html")
 
 Esparto determines that the string points to a valid image and loads the file:
 
-<img src='../esparto-image-screenshot.png' height=70% style='border: 1px dotted lightgrey; width: 80%; height: 80%'>
+<img src='../esparto-image-screenshot.png' height=70% style='border: 1px dotted lightgrey; width: 60%; height: auto%'>
 
 <br>
 
diff --git a/docs/02-user-guide/examples.md b/docs/02-user-guide/examples.md
index c07e4f6..a5811f4 100644
--- a/docs/02-user-guide/examples.md
+++ b/docs/02-user-guide/examples.md
@@ -27,7 +27,7 @@ with few lines of code.
 With the [Plotly backend for Pandas](https://plotly.com/python/pandas-backend/)
 we can access the Plotly Express API directly from the '.plot()' method of any DataFrame or Series.
 
-This example will show basic examples from each library:
+This notebook shows basic examples from each library:
 
 * Interactive plotting with Bokeh and Plotly
 * Adding interactive content to the page
diff --git a/docs/index.md b/docs/index.md
index 1cb542c..fbdcd77 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -1,6 +1,6 @@
 # Welcome
-Esparto is a minimal frontend web framework written in Python.
-It aims to be the first choice for designing self-contained documents with productivity as the main concern.
+Esparto is a super minimal frontend web framework written in Python. Its primary use is for generating shareable single page documents
+with content from popular analytics and data science libraries.
 
 ## Overview
 The library provides a streamlined API that lets users define their page in terms of
@@ -26,10 +26,7 @@ and iteratively build documents without disrupting their workflow.
 * Self contained / inline dependencies
 * MIT License
 
-
-## Integrations
-The following content types are currently supported
-
+## Supported Content
 * Markdown text
 * Images
 * Matplotlib figures