Asset Doc Wizard

Asset Doc Wizard is designed for Unity Asset Store publishers who want to ship local HTML documentation with their assets and make it easy for users to access.
 
By default, Unity displays HTML files as plain text. Asset Doc Wizard provides a dedicated entry point inside your asset, allowing users to open the documentation in their default web browser.
 
The visual wizard lets you customize the documentation hub to match your asset’s branding, including its logo, title, version, description, and footer text. You can also provide quick access to your website, support page, video tutorials, community, changelog, and other helpful resources.
 
To easily create multi-page HTML documentation packaged as a single file, you can use One File Docsonefiledocs.com.
 
The built-in smart rating widget helps direct user feedback to the right place. High ratings direct users to your Unity Asset Store review page, while low ratings encourage them to contact support.
 
Key Features
  • conveniently open local HTML documentation in an external browser;
  • create a polished entry point inside the Unity project;
  • customize the experience to match your asset's branding;
  • add links to websites, support, and other resources;
  • configure buttons and custom actions;
  • use smart rating flows for high and low ratings;
  • transfer settings between projects.
 
Asset Doc Wizard makes local HTML documentation easy to find, easy to access, and fully integrated into the experience of using your asset.

See also

Tiny Terrain

Tiny Terrain is a lossy Terrain Data compression technology for Unity Terrain Engine, which allows you to reduce the size of the data that Terrain takes in the project many times and significantly reduce the size of your application.

You pay a little CPU time and additional memory usage, but save tens and hundreds of megabytes for each Terrain in the project.

Even though the compression is lossy, in most cases you won't see any visual difference at all.

A very high compression ratio is achieved due to the author's data preparation algorithms and then compression using Brotli.