Name: Page2Doc
Author: Page2Doc

Question 1

What does the readability checker actually measure?

Accepted Answer

Word, character, sentence, and paragraph counts; estimated reading and speaking time; a Flesch-Kincaid readability score translated into a grade level and difficulty label; a content-quality score with specific strengths and suggestions; and the most frequently used words. All of it is computed locally — no AI model call is involved, which is why the result returns instantly and never costs a token.

Question 2

Is this free, or does it use my token allowance?

Accepted Answer

Free, always — this is the one Page2Doc AI action that runs entirely as local computation with no OpenAI call behind it. There's no usage meter on this page and no upgrade prompt can appear here, because there's genuinely nothing to meter: the server route itself has no credit-deduction or token-gating step.

Question 3

Is the Flesch-Kincaid score the same thing Hemingway Editor or Grammarly show?

Accepted Answer

The formula is the same well-established public standard (Flesch-Kincaid Grade Level), so two tools computing it correctly on the same text should agree closely. What differs is everything around the score — Page2Doc doesn't offer inline sentence-by-sentence rewrite suggestions or grammar correction the way Hemingway or Grammarly do; it reports the score, a grade level, a difficulty label, and general quality suggestions, not a line-by-line edit pass.

Question 4

Does it check accessibility (WCAG) compliance?

Accepted Answer

No. Reading-level readability and technical web accessibility are related but different things — this tool measures how easy your text is to read (relevant to cognitive accessibility and plain-language guidelines), not color contrast, alt text, keyboard navigation, or any other WCAG success criterion. Don't use a passing readability score as evidence of accessibility compliance.

Question 5

Does it detect headings, bullet lists, or other scannability structure?

Accepted Answer

Not directly. It counts paragraphs and factors paragraph count into its quality suggestions (e.g. flagging a long, single-paragraph block), but it does not parse heading levels, bullet/numbered lists, or bolded text as structural elements today. Scannability here means paragraph-level structure, not full document-formatting analysis.

Question 6

Can I export the results?

Accepted Answer

Yes — as PDF or Word for a shareable readability report, or as JSON/CSV if you're feeding the numbers into another tool or a content-QA spreadsheet.

Question 7

Is my data safe when I paste a URL into the web app?

Accepted Answer

Page2Doc's server fetches the URL fresh — it does not use your browser session, cookies, or login, and neither the source page nor the generated analysis is stored after you leave the page. If the content you need sits behind a login, use the Chrome extension instead, which reads the tab you're already signed into.

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