Readability checker

Measure how hard your copy is to read, find dense stretches of sentences, and tune clarity for your audience—before you publish or send to design.

How it works

Paste marketing or editorial text, review automated readability signals, then rewrite the sections that are hardest to parse—usually where bounce risk and “AI-smooth” tone overlap.

  1. Paste your draft. Drop in an article, landing page, email sequence, or internal doc. Long-form is fine; you can scan section by section if your workflow chunks pages.
  2. Review scores and hotspots. Typical outputs include reading-level estimates (roughly aligned with U.S. grade bands), average sentence length, and signals for paragraphs that stack similar-length sentences—often where readers skim or bounce.
  3. Edit with intent. Shorten or split long sentences, swap abstract nouns for concrete ones, and add one example or number per dense block. Re-run the checker until complexity matches the audience (executive summary vs. tutorial vs. consumer landing page).

Why readability matters for SEO and conversions

Search engines do not publish a single “readability score” as a direct ranking factor, but clarity still shapes outcomes. When people understand a page quickly, they scroll, click internal links, and convert more often—behavioral signals that align with helpful content. Snippets and meta descriptions also inherit tone from the body; stiff, repetitive prose tends to earn fewer engaged clicks even when rankings are stable.

What this tool is measuring (in plain language)

Readability formulas look at word length, sentence length, and syllable density to approximate how many years of formal schooling a reader might need to parse the text comfortably. They are guides, not laws: a medical brief will score “harder” than a lifestyle blog and still be appropriate. Use the output to compare drafts of the same piece before and after edits, or to align two authors to the same style guide.

Pair readability with other quality checks

Readable text can still be unoriginal or factually thin. For cornerstone URLs, combine this pass with the AI content detector for model-like tone, the plagiarism checker when sourcing is heavy, and the grammar checker for usage consistency. Our features overview explains how teams stack these tools in one editorial workflow.

Editorial habits that improve scores without dumbing down

  • Lead with the outcome, then explain—readers tolerate complexity after they know why it matters.
  • Vary sentence openings; models often chain similar syntactic patterns.
  • Replace stacked nominalizations (“implementation of optimization initiatives”) with verbs (“we rolled out faster pages”).
  • Add subheads every few scrolls on long pages so skimmers can self-select sections.

For a publishing-oriented walkthrough of detection plus clarity, see our post on how to check AI writing before you hit publish and browse more on the blog.