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Note: this tool is replaced by WCAG-EM Report Tool, version 3.0.0 (the code lives in the wai-wcag-em-report-tool repository)

WCAG-EM Report tool is an assistant that takes the user through the process of evaluating the accessibility of a website, using the WCAG-EM Evaluation Methodology. The Report Tool runs entirely on the client and so it can be used offline and in any server configuration available to you.

The Report Tool does not save files to a server or in local storage. Rather, load and save functions are available for storing an evaluation to your local file system.

Important references:

The official released version of the Report Tool can be found at An example of the latest (unapproved by EO) version is available at

See Change log for details about the latest version of the WCAG-EM Report Tool.


Before you can install the WCAG-EM Report Tool you will need to install a few components:


Install the wcag em report tool by running:

# Choose a root folder to install this project then:

# 1
git clone

# 2
cd wcag-em-report-tool

# (Optional) if node installed with nvm
nvm install

# 3
npm install

This will fetch the project, install all node packages, bower components and compass. See scripts: install in package.json for detailed installation info.


You can launch a development version by running:

npm start

To create a build in the /dist folder run:

npm run build

The build version can be hosted in on any server that available on http(s). WCAG-EM Report Tool runs in your local browser, so it only loads static files from the server.


The WCAG-EM Report Tool aims to be available for a wide audience. Much effort has been put into making translations as easy as possible. To learn about how to create your own translations read the translation documentation

Get Involved

Did you find a bug, or are you interested in working with us to create new features for the Report Tool, then get involved with the project!

Data Format

Data in the WCAG-EM Report Tool is saved and can again be loaded in a JSON format. The data format is JSON Linked Data, and uses EARL to store the test results.

Custom fields are based on WCAG-EM and are documented in EARL+JSON-LD format definition.