Let’s look at the main players who offer some form of predictive text capabilities. This is in part because of the complexity of predictive text modelling. What are the most advanced AI text prediction tools now?Īlthough the category of AI writing assistants is large with dozens of products sitting under the umbrella term, the number of true text prediction tools remains quite small. It’s expected that use of such tooling will increase substantially over the next 5 years, with such functionality eventually becoming ubiquitous for almost any text input scenario (in the same way that spellcheck is no longer seen as a feature, but rather an expected standard in most text entry situations). The abilities of predictive text AI is rapidly increasing in sophistication as the field of NLP and the associated language models become ever more advanced. With browser-based predictive text tooling, the scope of their use is very wide as they can be applied to almost any browser-based situation. We are starting to see these type of AI writing assistants integrated into various text input software such as email composers, word processers, customer support tooling and CRMs. The user can then quickly select the suggested word or phrase, (normally by using the ‘tab’ key) which saves keystrokes and therefore time. By analysing what has already been written, the AI can make accurate predictions of what the user is likely to want to write next.

Text prediction software helps users write faster and more accurately by providing real-time suggestions of letters, words and even entire sentences, as the user types. ‍ What is text prediction and why use it?

Korean keyboard predictive text example