With release v5.7.0 we introduced an enhanced AI-based proofreading engine for English. It was built using modern approaches in Natural Language Processing (NLP). Unlike the classical rules or dictionary-based engines, it's based on the huge pre-trained language model. Its accuracy is at least 3 times better.

However, at the same time, there are some cons that should be taken into consideration:

• It is available for general English. It doesn't distinguish dialects. Thus, offered as a separate language.
• Suggestions can be unpredictable and there is no option to ignore a rule.
• AI technology consumes more resources to provide the results. It's response time is longer compared to classical engines. Check the updated WebSpellChecker Server v5.7.0 hardware requirements.
• It is available only for modern products, such as the WProofreader add-on for rich text editors and API.
• There are no tips or differentiation by problem type (spelling, grammar, style, punctuation). All are combined in one. Later we will add types.

You can give it a try using one of the public demos on our website: https://webspellchecker.com/wsc-proofreader/

If you are using the server-based package of WebSpellChecker v5.7.0 and higher, then you have an AI engine included in the package.

<Language Id="en_AI">
    <Alias>ai</Alias>
    <GrammarCheckProvider>neural</GrammarCheckProvider>
    <GrammarCheckProviderOptions>en</GrammarCheckProviderOptions>
    <!--<ThesaurusEnabled>true</ThesaurusEnabled>
    <SpellEngineOptions>
        <Locale>am</Locale>
        <SpellCheckProvider>ssce</SpellCheckProvider>
        <Dictionary FullPath="ssceam2.clx" >
            <ForSuggest>no</ForSuggest>
        </Dictionary>
        <Dictionary FullPath="ssceam2s.clx">
            <ForSuggest>yes</ForSuggest>
        </Dictionary>
        <Dictionary FullPath="keywords.clx"></Dictionary>
        <Dictionary FullPath="ssceam.tlx"></Dictionary>
    </SpellEngineOptions>-->
</Language>