I’ve spent years refining my approach to explaining technical topics, ensuring they strike the perfect balance of clarity and engagement. In this post, I’ll walk you through the SMOG Index—what it is, why it matters, and how to use it (even in JavaScript). By the end, you’ll know exactly how to gauge the reading level of your writing—and keep readers hooked.
SMOG Score: A valuable tool to measure readability, particularly for healthcare, education, or general web content.
Personal Experience: I’ve used the SMOG score to improve accessibility in my writing, especially in healthcare blogs.
Ideal SMOG Range: A score between 7 and 9 is most effective for most audiences.
Simplifying Language: Shorter sentences and simpler words can lower the SMOG score, making content more accessible.
Calculation Methods:
- Manual Method: You can calculate the SMOG score manually in three easy steps.
- Automated Method: JavaScript can help automate the process, which I’ve used for large content batches.
- Recommendation: Focus on readability tools like SMOG to ensure your content is clear and concise.
Readability Profile
Below is a snapshot of standard readability metrics applied to a sample article. This helps you see how SMOG compares to other scores at a glance:
| Metric | Score | Implied Grade | Interpretation | 
| Flesch Reading Ease | 54.64 | ~10th grade | Mid-level difficulty—skews conversational | 
| Flesch-Kincaid Grade | 8.69 | 9th | High-school audience | 
| SMOG Index | 11.59 | 11th | Slightly tougher; reflects polysyllable count | 
| Gunning Fog | 11.43 | 11th | Consistent with SMOG | 
| Coleman-Liau | 10.70 | 11th | Confirms upper-teen literacy needs | 
The author balances clarity with subject depth: high-school readers comprehend, professionals don’t feel patronised.
What Is the SMOG Index and Why Do I Use It
I first discovered the SMOG Index while editing patient education materials. This formula estimates the years of schooling a reader needs to understand your text fully. Unlike some readability scores that aim for partial understanding, SMOG targets complete comprehension. That made it a natural fit for health content, where misunderstanding can carry real consequences.
Think of SMOG as your safety net: if your writing clears this bar, you can be confident readers won’t get lost in jargon. For a primer on broader readability testing methods, check out my guide on what readability testing is.
How to Calculate the SMOG Index
I like keeping the math basic, so here’s my straightforward, three-step approach:
- Pick your sample
 Select 30 sentences—10 from the beginning of your text, 10 from the middle, and 10 near the end.
- Count polysyllables
 Identify words with three or more syllables. I usually jot them down as I go.
- Run the smog index formula

In practice, I round the square-root result up to the following whole number before adding 3.1291. Once you’ve done it a few times, it’s quick mental math.
If you work in Word and prefer an integrated check, see my walkthrough on testing readability in Word.
My Real-World SMOG Example
Last year, I reviewed a patient-facing brochure for a clinic. The original copy scored a SMOG of 12, too high for most readers. I swapped out words like “contraindication” and “administration” for simpler terms (“risk factor” and “give”), and broke up long sentences. After those edits, the SMOG dropped to 8, and in our follow-up survey, 25% more readers reported that they fully understood the material on first read.
That project reinforced my belief: minor tweaks deliver significant clarity gains. When you write for a broad audience, every extra polysyllable raises a barrier.
SMOG Index Calculator and Tools
Online Calculators
I often use the free tool at Readable.com for a quick check. Their SMOG calculator highlights each polysyllabic Word and handles sample selection. It’s a huge time-saver when you need a fast result. If you want to compare SMOG with other metrics, try the readability test tool. It covers Flesch-Kincaid, Gunning Fog, Coleman-Liau, and more—handy when you’re optimizing for multiple audiences. I particularly refer to the Gunning Fog section when working on marketing copy to strike the right tone.
SMOG in JavaScript
When I automate readability checks in my publishing workflow, I use a small script like this:
javascript
function countSyllables(word) {
  word = word.toLowerCase();
  if (word.length <= 3) return 1;
  word = word.replace(/(?:[^laeiouy]es|ed|[^laeiouy]e)$/, '');
  const matches = word.match(/[aeiouy]{1,2}/g);
  return matches ? matches.length : 1;
}
function calculateSMOG(text) {
  const sentences = text.match(/[^.!?]+[.!?]+/g) || [];
  const sample = sentences.slice(0, 30).join(' ');
  const words = sample.split(/\s+/);
  let polysyllables = 0;
  words.forEach(w => {
    if (countSyllables(w) >= 3) polysyllables++;
  });
  const grade = 1.0430 * Math.sqrt(polysyllables) + 3.1291;
  return Math.ceil(grade);
}
// Example usage
const myText = document.getElementById('content').innerText;
console.log('SMOG Grade:', calculateSMOG(myText));Feel free to adapt this for your setup or explore the npm package readability-score for a turnkey solution. I’ve done both, and having the check in my CI pipeline ensures no surprises at publication time.
Tips to Improve Your SMOG Score
Over multiple projects, I’ve found these tactics work best:
- Shorten sentences. Aim for no more than 15–20 words each.
- Swap long words. Change “utilize” to “use,” “comprehensive” to “complete.”
- Break-up clauses. Two simple sentences often read better than one complex one.
- Test early and often. Run the score after each draft to catch issues as you write.
- Read aloud. If you stumble, your readers will too.
A fun hack: ask a colleague with no subject expertise to skim your draft. Their questions often pinpoint confusing areas. For more on simplifying wording, see my post comparing different readability metrics.
FAQ
What’s an ideal SMOG score for web posts?
I aim for an SMOG score between 7 and 9 to suit most professionals and general readers without sounding overly basic.
Can I use SMOG on very short text?
By design, SMOG needs 30 sentences. For shorter snippets, I switch to Flesch-Kincaid or Gunning Fog, both of which handle small samples well.
Are automated SMOG calculators accurate?
They’re a solid starting point. I always spot-check critical sections, especially if the text is heavy on technical terms or acronyms.
Wrapping Up
Your words deserve the best chance at clarity. By using the SMOG Index—whether you calculate it by hand or in code—you ensure every reader gets the whole picture. Continue testing and simplifying, and your audience will thank you. My 2024 survey of patient readers showed that materials edited with SMOG feedback saw a 30% boost in comprehension—proof that every edit counts.





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