Analysis
Clear writing is persuasive writing. Paste your content and find out exactly where it loses people — and how to fix it.
AI-generated output
Paste your text and click Analyse to get your readability report.
Paste the text you want to analyse — a blog post, product description, email, or any piece of writing. The tool works best with at least 100 words.
Select your intended audience and your communication goal. These context signals help the AI evaluate whether the complexity is appropriate, not just whether it's high or low.
You get a readability verdict, scores across five key dimensions, the single most important issue to fix, and a rewritten example of your most problematic sentence.
For example, paste a software onboarding email aimed at non-technical users and select "General public / Consumers" as your audience. The AI might identify that sentence length averages 32 words (too long), passive voice appears in 40% of sentences, and three technical terms appear without explanation.
The improvement note will rewrite your most complex sentence in plain language — so you can see the difference immediately, not just read about it.
The AI evaluates sentence length, word complexity, passive voice frequency, jargon density, and structural clarity — then maps these against your stated audience and goal. It does not use a single Flesch score in isolation, because a score without context (who is reading this, and why) is not very useful.
Not necessarily. If you select "Technical / Developer audience", the AI benchmarks complexity against that standard. Dense technical writing for a general audience will score poorly; the same text for developers might score well. The tool evaluates fit, not just difficulty.
Aim for at least 100 words for a meaningful analysis. Short snippets (a sentence or two) don't provide enough signal for sentence structure or pattern analysis. The tool handles up to several thousand words comfortably — though for very long documents, focus on the section you care most about.
The tool is optimised for English. It may still provide useful structural feedback for other languages, but scoring benchmarks (sentence length norms, jargon identification) are calibrated for English text.
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