English Readability Estimates
Compare six English readability formulas with visible counts and sources. Review word syllables, Fog exclusions and the 30-sentence SMOG sample.
Use this result well
- Inputs that matter
- An English passage and optional syllable corrections or Fog exclusions for individual words.
- Output to expect
- Six formula estimates with their counts and sources, a word pronunciation review and, for longer prose, the selected SMOG sentences.
- How it works
- English syllables start with a heuristic. Review numbers and abbreviations; corrections apply to every occurrence of the same normalized word. SMOG samples 30 complete sentence candidates.
- Choose English prose independently of the site language. Non-Latin scripts do not receive these English formula scores.
- Review the linked Fog exclusions and the actual word and sentence boundaries. Scores estimate surface features, not reader comprehension.
- Copy includes formulas, sources and your corrections. Editing the source resets corrections and invalidates old export feedback.
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Reference & details
How it works
Updated September 2026
How it works
Updated September 2026Counts behind the six formulas
W is the number of word-like tokens, S the sentence candidates and Y the estimated spoken syllables. Coleman–Liau uses letters L; ARI uses letters plus digits A. Spaces, punctuation and emoji are excluded from L and A. Scores are displayed to one decimal without clipping.
Pronunciation and Fog review
The syllable 5.0.1 English heuristic supplies initial estimates. Numbers and all-capital abbreviations require spoken counts. A correction applies to all occurrences of a normalized word. Fog starts with 3+ syllable words; inspect the linked procedure and mark exclusions for proper nouns, hyphenated words or applicable -es/-ed endings.
Source: SKC IRB: Gunning Fog procedure
Separate SMOG sample
SMOG requires at least 30 complete sentence candidates. It samples ten near the beginning, ten in the middle and ten near the end, with no overlap. Count repeated words of 3+ syllables each time. The panel lists the selected sentences; Fog exclusions do not affect SMOG.
SMOG estimate = 1.043 × square root of sampled polysyllabic-word occurrences + 3.1291Source: McLaughlin (1969): SMOG Grading
Flesch Reading Ease
Higher scores usually describe easier surface features. W is counted words, S sentence candidates and Y estimated syllables; very short or unusual prose can produce values outside 0–100.
206.835 − 1.015 × W/S − 84.6 × Y/WFlesch–Kincaid grade estimate
This approximate US grade scale uses the same word, sentence and syllable counts. It does not test whether a particular reader understands the passage.
0.39 × W/S + 11.8 × Y/W − 15.59Gunning Fog estimate
C counts word occurrences of three or more syllables after the exclusions you review. The denominator remains all counted words.
0.4 × (W/S + 100 × C/W)Source: SKC IRB: Gunning Fog procedure
Coleman–Liau grade estimate
L counts letters. Digits, spaces, punctuation and emoji are excluded from L; word and sentence boundaries remain estimates.
0.0588 × 100L/W − 0.296 × 100S/W − 15.8Source: Coleman & Liau (1975): A Computer Readability Formula
Automated Readability Index
A counts letters and digits. Spaces, punctuation and emoji do not increase A. The raw result is shown without an artificial grade-14 ceiling.
4.71 × A/W + 0.5 × W/S − 21.43Updated: September 2026
Example Scenarios
Use a tiny passage to inspect the arithmetic rather than infer reader comprehension.
→ Flesch Reading Ease 121.2; ARI −6.8; SMOG not calculated.
Enter the phrase and then review NASA as 2 syllables and 12 as 1 syllable.
→ Before review, pronunciation-dependent formulas wait. With those two corrections, the total is 6 syllables.
Repeat Beautiful people. exactly 30 times, separated by spaces.
→ 30 complete sentence candidates and 30 sampled polysyllabic-word occurrences; SMOG estimate 8.8.
FAQ
About English Readability Estimates
Inspect a draft using six English readability formulas. The panel shows the variables behind each score, keeps raw formula values outside familiar grade ranges and lets you review pronunciation assumptions. These estimates describe surface features of prose.