Wordlish analyses your text for word frequency, and compares it to the top 6000 most-used words [1], with some re-balancing for fiction. This works best with large bodies of text.
High 'Relative to Typical' results might not necessarily indicate that you should cull those words, because the 'typical' database corpus might not be aligned to your genre and writing intent. If your text contains dialogue, then characters might be speaking with their own biases.
Version 1.12, created by John Valentine. Donate to support software like this.
All your text is processed in-browser, is not sent over the network, and is not stored by this website. We have chosen to openly package the code on this page, for data transparency purposes.
[1] BNC database and word frequency lists, retrieved 2019-03-15.