We just launched Humanizer. The problem we kept running into across our own products, drafts came out technically fine but obviously not human. Articles, support replies, marketing copy, all readable but instantly forgettable. Readers tune out before the first paragraph.
Question for anyone who reads or edits a lot of online content.
When you read something and think "this was machine output", what tipped you off? We have our own theory list building Humanizer, repetitive sentence length, no contractions, the word "delve" used in unusual places, conclusions that summarize what you just read instead of saying something new.
Sharing our model selection process for Humanizer in case anyone is making a similar choice.
We tested all the major models on the same humanization task, paste a stiff draft, return something natural that keeps the original meaning. Three things mattered.
Half our users now write directly in Humanizer instead of pasting from elsewhere, the blank page becomes less scary when something is helping you reshape every paragraph. So we are leaning into that.
Models keep getting better at writing naturally. Each generation reduces the obvious tells that prompted tools like Humanizer to exist in the first place. Two years from now, will anyone need a separate humanization step, or will it be solved by default?
