Example of accessibility analysis on upload. Three images are uploaded to your product environment with accessibility_analysis requested. The eval feature is used to tag the uploaded image according to the result of the accessibility analysis. If the image has a low score for distinct_edges, the asset is tagged 'distinct_edges_issue'. If it has a low score for distinct_colors, the asset is tagged 'distinct_colors_issue'.

Note: You may need to contact Cloudinary support to enable accessibility analysis on your product environment.

To run the script:

1. Clone this repo.
2. Open a terminal in the color-accessibility-upload folder.
3. Set your Cloudinary API Environment variable:

   export CLOUDINARY_URL=cloudinary://<api_key>:<api_secret>@<cloud_name>
   

   You can find your API Environment variable in the Account Details section of your Cloudinary console.
4. Install Cloudinary:

   npm i
   

5. Run the script:

   node index.js