Audience before simplicity
A specialist document can remain technical. The question is whether its language, structure and assumptions fit the people who need it.
PlainSight combines audience-aware readability analysis with deterministic measures and plain-language rules. It scores content, protects meaning and identifies ways to simplify complex writing. AI may propose wording, but it does not set the framework or decide what passes.
A specialist document can remain technical. The question is whether its language, structure and assumptions fit the people who need it.
Stable calculations support the assessment, while human-like judgement is used only where context matters.
Protected wording and a separate meaning check take priority over achieving a higher score.
The readability score is part of a broader plain-language assessment out of 100. It is designed to help teams find and prioritise barriers, not certify content or claim scientific certainty.
PlainSight calculates Flesch Reading Ease directly. It uses the average number of words per sentence and syllables per word:
206.835 − 1.015 × (words ÷ sentences) − 84.6 × (syllables ÷ words)A higher score generally means the text is easier to decode and requires less reading effort. Flesch cannot tell whether information is accurate, well ordered, actionable or appropriate for a particular audience, so it contributes only 10% of the Clarity Score.
PlainSight highlights clarity findings in the content. Select a highlight to see the reason, review a verified alternative and choose whether to apply it. The score and remaining findings update as you work. This keeps each meaning-preserving change under human control.
PlainSight uses public, freely available guidance. It does not reproduce restricted standards, use ISO publications, or claim ISO compliance, certification or alignment.