Readability Score Checker

Score your writing with Flesch Reading Ease and Flesch–Kincaid grade level. Free, in your browser.

Most web content aims for a Flesch score of 60–70 (around grade 7–8). Syllable counts are estimated. Computed in your browser.

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  • Word/sentence counts
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About the Readability Score Checker

The Readability Score Checker measures how hard your writing is to read and reports it as a number you can act on. Paste any text and it runs the two most widely used formulas: the Flesch Reading Ease score, which lands between 0 and 100 (higher is easier), and the Flesch-Kincaid Grade Level, which maps your writing to a US school grade. Both are built from the same two signals, average sentence length and average syllables per word, so the tool also surfaces those raw counts. The result is a clear, repeatable benchmark instead of a vague feeling that something reads as too dense.

Reach for this tool whenever the audience is broad and attention is short: blog posts, landing pages, product descriptions, emails, help docs, and student essays. Online readers skim, and even highly educated people tend to prefer plainer prose when browsing, so most web content aims for a Flesch Reading Ease of roughly 60 to 70 (plain English, around an 8th-to-9th-grade level). Writers also use it to satisfy editorial style guides, to hit accessibility targets for public-sector or healthcare copy, and to keep a consistent voice across a large content library where many people contribute.

Under the hood, the checker counts words, sentences, and syllables, then plugs them into the published formulas. Flesch Reading Ease is 206.835 minus 1.015 times words-per-sentence minus 84.6 times syllables-per-word; Flesch-Kincaid Grade Level is 0.39 times words-per-sentence plus 11.8 times syllables-per-word minus 15.59. Because they share inputs, the two scores move in opposite directions: an easier text earns a high reading-ease number and a low grade level. Shortening sentences and swapping long words for short ones moves both scores at once, which is why the tool highlights sentence length and syllable density alongside the totals.

A few honest notes on accuracy and privacy. Syllable counting in English is rule-based and not perfect, so treat the numbers as a reliable guide rather than an exact measurement, and expect small differences between tools that count contractions, numbers, or headings differently. The formulas judge sentence and word length only, not whether your argument is clear, accurate, or well organised, so a low grade level never guarantees good writing. Your text is analysed in your browser and is not stored or sent to a server, so you can safely check drafts, client work, or unpublished copy.

Frequently asked questions

What is a good Flesch Reading Ease score for a website?

For most online content, aim for a Flesch Reading Ease of about 60 to 70, which reads as plain English at roughly an 8th-to-9th-grade level. Technical or academic audiences can tolerate lower scores, while content for a very general audience reads more comfortably at 70 or above.

What is the difference between Flesch Reading Ease and Flesch-Kincaid Grade Level?

Reading Ease gives a 0 to 100 score where higher means easier, while Grade Level translates the same data into a US school grade. They use the same inputs but move in opposite directions, so an easy text has a high reading-ease number and a low grade level.

How is the readability score calculated?

Both formulas use your average sentence length (words per sentence) and average word length (syllables per word). Reading Ease is 206.835 - 1.015(words/sentences) - 84.6(syllables/words); Grade Level is 0.39(words/sentences) + 11.8(syllables/words) - 15.59.

How do I improve my readability score?

Shorten long sentences, split compound sentences, and replace multi-syllable words with simpler ones. Both metrics reward shorter sentences and shorter words, so those edits raise the reading-ease score and lower the grade level at the same time.

Is a low grade level always better?

Not always. A low grade level only means short sentences and short words; it does not measure whether your writing is clear, accurate, or logically organised. Match the score to your audience rather than pushing every text to the lowest possible grade.

From our blog

How to Compare Two Texts and Actually Trust the Differences

By the Super Simple Digital Tools Team · Updated June 2026

Comparing two versions of a document by eye is one of those tasks that feels easy and goes wrong constantly. The human eye is excellent at reading meaning and terrible at catching a single transposed digit, a removed "not," or a clause that changed from "may" to "shall." A text diff checker removes that guesswork by mechanically aligning the two versions and coloring in every place they disagree. The skill worth learning is not how to run it, but how to read the output and how to set up your inputs so the differences it reports are the ones you care about.

Start by deciding which view fits the job. A side-by-side view is best when you want to read both versions in context, for example reviewing a rewritten paragraph or comparing two contract drafts where surrounding wording matters. A unified view stacks the changes into one column with plus and minus markers, which is denser and closer to what you would paste into a chat or commit message. Unified shines for code and config because it shows only the changed regions plus a few lines of context, so a small edit in a large file does not bury you in unchanged text.

Understanding what the tool is doing helps you trust it. Internally it solves the longest common subsequence problem: it finds the largest ordering of lines (or words) that both texts share, then everything outside that shared backbone becomes an addition or a deletion. The dominant method is Eugene Myers' 1986 algorithm, which frames the comparison as finding the shortest route through an edit graph and runs in O(ND) time, where D is the number of differences. Because git, GNU diff, and most review tools use this same family, the diff you see here is consistent with the diff your teammates see.

The most common surprise is a diff that flags things you cannot visually distinguish. This is the algorithm doing its job, not a bug. Trailing whitespace, a tab swapped for spaces, Windows versus Unix line endings, and curly versus straight quotes are all real byte-level differences. When that noise gets in the way, normalize your inputs first: strip trailing spaces, standardize line endings, or paste plain text rather than copying from a formatted editor. When precision is the whole point, such as auditing a legal change, leave them in so nothing slips past.

Finally, treat the diff as evidence, not a verdict. It tells you exactly where two texts differ, but it cannot tell you whether a change is intentional, correct, or dangerous. A diff can show that a license URL changed or that a tax rate moved from 18 to 1.8, but you still have to judge whether that edit should have happened. Used that way, with a sensible view, clean inputs, and your own review on top, a diff checker turns version comparison from a slow, error-prone chore into a fast and reliable check.

  • Use side-by-side for prose and contracts where context matters; switch to unified for code, config, and anything you will paste into chat or a commit.
  • Normalize line endings and strip trailing whitespace before diffing if you only care about real content changes, to cut out invisible noise.
  • Diff two JSON or API responses to instantly spot an added, removed, or renamed field instead of scanning nested objects by hand.
  • When verifying a revised contract or config, leave whitespace and quote differences in place so subtle but real edits are not hidden.

Read the full guide →

Tool by the Super Simple Digital Tools Team. Reviewed by our editorial team. Free to use, no signup required.

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