Instantly find the most common words, keyword density, and unique terms in any text. Privacy‑friendly: runs in your browser.
What You’ll Learn From a Frequency Report
A frequency report shows what your writing emphasizes. That helps you tighten clarity (remove accidental repetition), strengthen topical coverage (add missing related terms), and make your messaging more consistent across pages.
If you’re improving a site for quality signals, use frequency to add genuinely helpful sections that answer real questions instead of rephrasing the same sentence repeatedly.
Find overused words and replace them with clearer phrasing.
Spot missing subtopics by comparing your top terms to what users search for.
Use results to build cleaner headings and more useful sections.
Word Frequency Analyzer
Paste your text and instantly get word frequency, percentage breakdown, and live word count.
Word Count: 0
Sample Analysis
Try the tool with a short public‑domain passage. Click Load Sample to fill the box, then Analyze.
About This Tool
This free word frequency analyzer helps writers, students, and content creators uncover patterns in their text. Whether you're optimizing for SEO or cleaning up your writing, this tool shows exactly which words dominate your message.
FAQ
Q: What does this tool do? A: It counts how often each word appears in your text and gives percentages.
Q: Is it free to use? A: Yes! 100% free. No login required.
Q: Can I use this for SEO? A: Absolutely. It’s great for keyword analysis.
We do not store, track, or sell any data entered into this tool. Your input is processed entirely in your browser for your privacy.
Because the analysis runs locally, you can paste drafts, client copy, or private notes without sending the text to our servers. For the best privacy, avoid including personal identifiers in any text you share with others, and review our full Privacy Policy for details about ads and standard website logs.
Your pasted text stays on your device during analysis.
Results update instantly as you change settings.
You can clear the text box at any time to remove it from view.
Terms of Service
Use this tool at your own discretion. We provide it as-is without warranties. By using it, you agree to our privacy terms.
Real Examples: How to Use the Results
These are realistic mini case-studies that show how word frequency helps you improve clarity and add substance (without keyword stuffing). Copy the patterns and apply them to your own pages.
Example 1 — Before → After rewrite (remove repeated claims)
Before (repetitive):
Our tool helps you write better. Write better with our tool. Write better fast with results you can trust.
After (clear + specific):
Our tool highlights repeated phrases and top terms so you can rewrite sections with clearer wording. Use it to spot overused claims, then add one concrete detail (step, feature, or example) to make the page more useful.
What the tool reveals: the same phrase (“write better”) dominates the top list.
What we changed: replaced repeated claims with a specific explanation of what the tool does.
Why it helps: clearer meaning + more substance, not just different wording.
Example 2 — What the top 5 words revealed (missing subtopics)
Draft snippet:
This calculator is fast and easy. It’s easy to use and fast for anyone. Fast results, easy input, fast output.
A frequency report might show top meaningful terms like: fast, easy, calculator, results, input. That tells you the page is repeating speed claims but not explaining the process or edge cases.
Add a “How it works” section (what is counted, what is ignored).
Add a “Common mistakes” section (formatting issues, copied boilerplate).
Add a “Best practices” section (how to interpret results, what to fix next).
Example 3 — What we changed and why (turn output into a workflow)
If the top list is dominated by one phrase, don’t just delete it everywhere. Replace some repeats with new information that answers a different question.
Identify the most repeated meaningful phrase (ignore stop words).
Rewrite 2–3 sentences by adding a specific detail (what, how, or why).
Add one new section: example, troubleshooting, or FAQ.
Re-run the tool to confirm repetition dropped and coverage improved.
Glossary: Key Terms Used in Frequency and Readability
A short glossary makes tool pages feel complete and helps users understand what they’re looking at. Use these definitions when you’re writing content or interpreting results.
Stop words: common words (the, and, to) that often hide the meaningful topic terms.
Normalization: treating “Marketing” and “marketing” as the same word for consistent counts.
Repetition: repeated phrases or claims that reduce clarity and can make a page feel thin.
Coverage: how many subtopics your page includes beyond the main keyword.
Scannability: how easy a page is to skim using headings, short paragraphs, and bullets.
Troubleshooting: When the Output Looks “Off”
If your results look strange, it’s usually because the input contains hidden formatting, duplicated blocks, or copied page chrome (menus/footers).
Use the checks below to isolate the real content so your frequency list reflects what readers actually see.
If you copied from a webpage, remove navigation/footer text before analyzing.
If counts are inflated, check for repeated headings or template blocks in the text.
If punctuation looks odd, paste into a plain-text editor first to normalize formatting.
If you’re analyzing transcripts, remove timestamps and speaker labels for cleaner results.
How to Write a High‑Value “Results” Section for Any Tool
A common reason tool sites feel thin is that they show numbers without explaining what to do next. A results section should interpret the output and guide action.
Use the structure below to turn output into instruction so the page is useful even before someone runs the tool.
Explain what each metric means in one sentence.
Give a ‘what to do next’ checklist.
Include one real mini example and interpret it.
Add 3–5 FAQs focused on user intent (editing, SEO, clarity).
Mini Case Study: Upgrading a Thin Landing Page
Here’s a realistic way to use this tool to improve a page that repeats the same promise. The goal is to add substance: steps, proof, and clearer outcomes.
You don’t need to ‘add words’. You need to add sections that answer new questions—what it does, how it works, and what to do next.
Before: repeated marketing claims with no specifics.
After: a short “How it works” section + one example + FAQs.
Result: lower repetition and clearer topic coverage across headings and body.
A Safe Way to Expand Content Without Keyword Stuffing
If you’re worried about repeating a phrase too much, expand sideways: add related subtopics, definitions, and examples instead of repeating the same line.
A page feels high-value when it covers the topic from multiple angles: setup, usage, mistakes, and troubleshooting.
Add definitions for key terms the first time they appear.
Add a “common mistakes” section with fixes.
Add a “troubleshooting” section for weird outputs.
Add a short FAQ focused on user intent.
Use Cases: Writers, Students, Marketers, and Product Teams
Different users get different value from the same frequency report. Below are practical use cases that show how to turn counts into edits and decisions.
If your goal is a higher-quality page, pick the use case that matches your intent and follow the checklist.
Writers: remove repeated phrases, tighten intros, and add a clearer example section.
Students: check essays for overused words and improve clarity with stronger transitions.
Marketers: verify that a landing page emphasizes the right benefits without repeating claims.
Product teams: analyze support tickets or feedback to find recurring themes and prioritize improvements.
Exporting Results and Tracking Improvements Over Time
If you’re improving a page or an article, the best proof of progress is a before/after comparison. Export your results (or copy them into notes) so you can see how repetition changes after edits.
Tracking improvements helps you avoid endless rewriting. You can set a simple goal like “reduce the top repeated phrase by 30%” while adding new subtopics and examples.
Save a ‘before’ snapshot of your top terms and counts.
Make edits: remove repeated claims, add examples, add FAQs.
Run the tool again and compare the top 10 meaningful terms.
Repeat until the page reads naturally and feels complete.
Quality Signals: What Readers Expect From a Helpful Tool Page
A helpful tool page answers the questions users have while they’re using the tool: what the output means, what to do next, and how to fix common issues.
When you add substance—clear steps, examples, troubleshooting, and definitions—the page becomes useful even without running the tool. That’s a strong quality signal.
Explain outputs in plain language (what counts mean).
Provide a short workflow (step-by-step).
Include one real example with interpretation.
Add troubleshooting for common weird results.
Add FAQs that match actual user intent.
Use Frequency to Improve Policy Pages (Privacy/Terms)
Policy pages get flagged when they only contain short generic statements. A strong policy page explains terms, gives examples of what data is and isn’t collected, and tells users what choices they have.
You can use word frequency to check whether your policy repeats the same sentence structure. If it does, add new sections that answer different questions (controls, retention, third parties, contact).
Add a plain-language summary section.
Add a section on user controls (cookies, browser settings).
Add a section on retention and support emails.
Add a contact/process section for policy questions.
How to Expand a Tool Page Without Repeating Yourself
A tool page becomes high-value when it teaches users how to interpret results. That means: step-by-step guidance, common mistakes, and at least one real example.
Instead of rephrasing the same benefit, expand the page by adding new ‘angles’—like troubleshooting, export workflows, and use cases for different audiences.
Add an “Interpretation” section (what the numbers mean).
Add troubleshooting for weird outputs (boilerplate, formatting).
Add an audience section (writers, students, marketers).
Add a before/after example to show the outcome of editing.
Mini Template: A High‑Value Section Layout
If you’re expanding a page, use this layout to add substance without fluff. Each block teaches something new and is easy to scan on mobile.
1) What it is (one paragraph).
2) Why it matters (one paragraph).
3) Steps (bullets).
4) Example (short).
5) Common mistakes (bullets).
6) FAQ (3–5 questions).
Checklist: Make Any Page Feel “Complete”
If a page feels thin, it usually lacks one of these: clear purpose, step-by-step guidance, real examples, or answers to common questions.
Use this checklist after you run your frequency report. If you can’t check most of these boxes, expand the page with original sections that help the reader finish a task.
States who the page is for (audience) and what problem it solves.
Explains how to use the tool or method in 3–6 steps.
Includes at least one example and a short interpretation.
Lists common mistakes and quick fixes.
Answers the top 3–5 questions readers actually ask.
Content Ideas That Add Real Value (Not Fluff)
When expanding content, avoid generic filler. Instead, add sections that change what the reader can do after reading the page.
Below are expansions that consistently improve usefulness for web tools and informational pages.
Add a ‘When to use this / When not to use this’ section.
Add a ‘Common mistakes’ section with specific fixes.
Add a ‘Troubleshooting’ section (what to do when results look wrong).
Add an example that includes a before/after rewrite.
Add a short glossary defining the terms you use on the page.
Advanced Tip: Build Headings From Your Results
A strong page usually has headings that reflect subtopics, not repeated claims. Use your top terms to plan headings that expand coverage.
For example, if your top terms include ‘keyword’, ‘density’, and ‘intent’, you can add headings like ‘How to measure density’, ‘How intent changes wording’, and ‘Common mistakes’.
Pick 3–5 meaningful terms from your top list.
Write 1 heading per term that answers a question.
Under each heading, add a short paragraph + bullets + one example where possible.
Step‑by‑Step: Turn a Frequency List Into Better Writing
A frequency list is only useful if it drives edits. Use this short workflow to turn counts into real improvements—especially for landing pages, blog posts, and policy pages.
Start by looking at your top repeated non‑stop words. Then decide whether each repeated term is intentional (a key topic) or accidental repetition (a habit word or repeated phrase).
Circle the top 10 meaningful terms (ignore common words).
Rewrite 2–3 sentences that repeat the same claim; add a specific detail or example instead.
Add a missing subtopic section (FAQ, checklist, or common mistakes) to increase usefulness.
Re‑run the tool and confirm repetition drops while topic coverage increases.
What “Good” Results Look Like
Good results usually show a clear topic signal: a few key terms appear consistently, while the rest of the vocabulary supports the topic with related terms and examples.
If one phrase dominates, the page often feels thin or spammy. The fix is usually to add real substance (steps, examples, definitions) rather than swapping synonyms randomly.
Healthy: key term appears naturally across headings and body.
Unhealthy: the same phrase appears back‑to‑back in multiple sentences.
Best fix: add new sections that answer real questions instead of repeating claims.
Common Issues and Quick Fixes
If your output looks wrong, it’s usually caused by formatting from copied web pages or by analyzing too much boilerplate. These fixes keep your report focused on the actual content.
For the cleanest analysis, paste into a plain‑text editor first, then paste here.
Seeing menu words like “home” and “privacy”? Remove navigation text and analyze only the article body.
Weird symbols or curly quotes? Paste into a plain‑text editor to normalize formatting.
Counts feel too high for one word? Check for repeated headings or template blocks inside your text.
N‑gram & Keyword Density Explorer
Quick start: paste your text, run the analysis, then scan the top terms for repetition. Use filters to remove common stop-words, and export results when you’re done so you can track improvements across drafts.
Go beyond single-word counts. Discover bigrams and trigrams (two‑ and three‑word phrases), filter stop words, and export a CSV for SEO or editorial planning.
What you can do with a Word Frequency & N‑gram tool
Real‑world use cases
SEO research: Validate that a draft naturally includes the terms searchers expect, without over‑optimizing.
Editorial quality: Spot repetition, jargon, and off‑topic phrases before publishing.
UX writing: Check for consistent terminology across buttons, menus, and error messages.
Academic & legal: Surface recurring concepts and definitions to tighten arguments.
Brand voice audits: Ensure preferred words and phrases appear with the right frequency.
Step‑by‑step: turn counts into action
Run the analyzer on your draft and skim the top 20 terms.
Switch to bigrams/trigrams to expose recurring phrases and intent.
Trim filler words and merge duplicated concepts (e.g., “sign in” vs “log in”).
Compare your results to the top ranking pages for your target query.
Revise headings, intros, and CTAs to reflect the most helpful language.
Example: product page snippet
Paste this sample to see how the n‑gram explorer highlights themes you’d want on a product page:
Meet the Aurora 3000 blender — a compact, 1200‑watt powerhouse built for smoothies, soups, and frozen desserts.
With three presets, a pulse mode, and dishwasher‑safe parts, it’s our most versatile blender yet. The Tritan jar
resists odors and stains, and the rubber feet keep the base stable at high speeds. Free two‑year warranty.
FAQ: Word frequency, density, and n‑grams
What’s the difference between frequency and keyword density?
Frequency is a raw count. Density is a percentage of total words. Both can be helpful; density is easier to compare across drafts of different lengths.
Why look at bigrams and trigrams?
People search with phrases, not just single words. N‑grams catch topics like “account security”, “best budget”, or “customer support”.
Use frequency and density as a revision guide—not a quota.
Get More from Your Text Analysis
Use these practical tips to turn scores and frequency data into clearer, more useful writing. Everything on this site runs in your browser, so you can iterate safely and quickly.
Workflow: From Draft to Polished
Paste a representative sample (300–500 words).
Check Flesch and FK Grade; note long sentences and jargon clusters.
Trim run-ons; define acronyms; convert passive to active where it helps.
Re-run the analyzer and compare improvements.
Finish with headings and lists for skim-friendly structure.
SEO Tips (That Aren't Spammy)
Use frequency as a revision guide, not a quota.
Group related terms into sections with descriptive headings.
Answer the intent in the first 100–150 words.
Link to related posts and define key terms once.
Accessibility Essentials
Write descriptive link text (no “click here”).
Ensure readable contrast and visible focus states.
Use lists for steps, not comma splices.
Methodology (Quick)
We compute Flesch Reading Ease and Flesch–Kincaid Grade using standard formulas. Words include common contractions (e.g., don’t), sentences are split by end punctuation with safeguards for abbreviations and numbers, and syllables are counted via a robust heuristic with special cases and a minimum of one per word.
Last expanded October 03, 2025
FAQ
Do you upload my text?
No—analysis runs locally in your browser. We don’t store pasted text.
What’s a “good” readability score?
For most web content, Flesch 60–80 works well. Prioritize clarity for your audience over chasing a single number.
Why does my score change after small edits?
Short samples are sensitive to sentence and syllable counts. Try 300–500 words for a stable estimate.
Sort and export results for your editor or SEO doc.
Best for
Blog posts & landing pages
Academic papers & reports
Scripts, captions, and speeches
Tips
Aim for natural keyword density (1–2.5%).
Reduce filler words to improve clarity.
Use synonyms to avoid repetition.
FAQ
Do you store my text?
No. Analysis happens locally in your browser.
Can I export the results?
Yes. Use the copy button or export to CSV from the results table.
What languages are supported?
Works best with English, but many Latin‑alphabet languages will also work.
About the publisher
Created by a team of software engineers and editors to help writers craft clearer content. This page was last updated on February 5, 2026.
Deep Dive: Interpreting Results
Raw frequency alone can be misleading. Use relative metrics like keyword density and unique word ratio to understand emphasis and variety. Aim for a natural balance rather than hitting an exact percentage.
Keyword Density: (count ÷ total words) × 100. Good content typically falls between 1–2.5% for a primary term.
Type–Token Ratio (TTR): unique words ÷ total words. Higher TTR suggests varied vocabulary.
Stopwords: Try toggling them off to surface meaningful terms.
SEO Best Practices
Write for people first, search engines second.
Use synonyms and related phrases to avoid over‑optimization.
Place key phrases naturally in headings, intro, and conclusions.
Combine this tool with readability checks and internal linking.
Editorial Workflow
Draft freely without worrying about keywords.
Analyze with this tool to find overused words.
Revise for clarity, variety, and user intent.
Re‑analyze to confirm improvements.
Common Pitfalls
Chasing exact % targets instead of natural flow.
Counting plural/tense variants as separate ideas.
Ignoring headings and image alt text in optimization.
Worked Example
Suppose your article has 1,000 words and you used “meal prep” 18 times. Density = 18 ÷ 1000 = 1.8%. If TTR is 0.62, your vocabulary variety is healthy. Consider adding related terms like “batch cooking” or “weekly plan.”
Glossary
Frequency: How often a word occurs in your text.
Lemma: Canonical form of a word (e.g., “run” for “running”).
Collocation: Words that commonly occur together (e.g., “strong tea”, “make a decision”). Useful for natural phrasing.
Stopwords: Common function words (the, and, of) often excluded.
Export & Sharing
Copy results with one click or export to CSV. Paste your table into Google Sheets to track revisions over time and share with collaborators.
Privacy & Data
No uploads: Your text never leaves your browser. Ads and analytics may set cookies; see our Privacy Policy for details.
Flesch uses average sentence length and syllables per word. Higher is easier to read.
FK Grade converts that into a U.S. grade‑level estimate.
Good targets
General web content: Flesch 60–80 (Grade 7–10)
Technical docs can be lower; consumer help should be higher.
Improve readability
Shorten sentences; use active voice.
Swap jargon for familiar words.
Break up dense paragraphs with lists.
Swap jargon for familiar words.
Break up dense paragraphs with lists.
Make Frequency Data Work Harder
Word counts are a flashlight, not the destination. Use them to guide edits that improve clarity, trust, and task completion.
Balance clarity vs. variety: Repeating essential terms helps searchers, but rotate phrasing to stay human.
Tune microcopy: Check button and form labels for consistent verbs (e.g., “Create account” vs. “Sign up”).
Map to questions: Compare your top terms to common reader questions. If answers aren’t obvious, add examples.
Prevent cannibalization: If two pages share identical high‑frequency terms and intent, consolidate or differentiate.
Show the receipts: When you assert performance or accuracy, add a short table, formula, or source.
Quality Signals Editors Love
Descriptive headings that match on‑page content
Tables for comparisons instead of long paragraphs
Examples and edge cases near definitions
Plain‑language summaries before technical detail
Clear next steps, not just information
Common Pitfalls (and fixes)
Problem
Symptom
Fix
Over‑optimization
Unnatural repetition of a single phrase
Use synonyms and re‑frame with questions and examples.
Jargon sprawl
Multiple terms for the same idea
Pick a primary term and mention alternatives once.
Thin summaries
Definitions without actionable value
Add steps, checklists, or short scenarios.
Ambiguous CTAs
Readers can’t tell what to do next
Use explicit verbs tied to outcomes (“Download CSV”, “Compare drafts”).
Editor’s Mini‑Checklist
Does the intro promise exactly what the page delivers?
Are the top terms represented in headings and examples?
Is there at least one data table or step list?
Do examples reflect real‑world tasks, not contrived text?
Is there a clear next step (export, compare, read more)?
All analysis runs in your browser. We never upload your text.
Who Benefits (and how)
SEO specialists: Validate topical coverage without keyword stuffing.
Editors: Find repetition and tighten language before layout.
Support & docs: Normalize terms across guides and UI.
Product teams: Align naming between marketing pages and in‑app copy.
Students & researchers: Surface recurring concepts to frame a literature review.
Reading Patterns to Know
In many texts, a small set of words carry most meaning, while a long tail appears infrequently. When your top terms don’t match the topic, readers feel lost. Use the frequency table to confirm the “center of gravity” of your draft matches its promise.
Performance & Privacy
Works locally in your browser — paste-sensitive drafts stay on your device.
Handles long inputs; for books or massive logs, analyze chapter by chapter.
Export CSVs to archive snapshots with your content briefs.
Quick Start for Better Drafts
Run the analyzer and skim the top 20 terms for relevance.
Switch to bigrams to reveal the phrases readers expect.
Update headings and first paragraphs to reflect the core concepts.
Add a small example, table, or checklist near your main claim.
Re-run and export results as part of your handoff notes.
When Frequency Misleads (and how to correct)
Counts can overweight boilerplate (navigation, legal, UI). Focus analysis on core content by excluding headers/footers or pasting the main body only. Switch to bigrams to capture intent instead of filler.
Build a Repeatable Editing Loop
Draft → run frequency & phrase analysis.
Create a one-paragraph “reader promise” that reflects the top concepts.
Add one table or checklist per ~800 words.
Cut duplicate sentences; keep the strongest example.
Re-run and export a snapshot for your editorial ticket.
Content Types & Suggested Signals
Content type
Useful signal
What to adjust
Tutorial
High overlap in task phrases
Steps, screenshots, error handling
Comparison
Balanced brand/product mentions
Feature table, decision criteria
Definition
Strong concept terms, low fluff
Examples, “what it is / isn’t”
Release notes
Version and feature clusters
Link to docs, deprecations
Accessibility of Language
Prefer concrete verbs over abstractions.
Define acronyms at first use.
Favor short sentences near instructions.
Avoid metaphors that don’t translate.
Use consistent button and menu names.
Role‑Based Playbooks
Role
Goal
How to use this tool
Writer
Clear, helpful draft
Run frequency early; align headings with dominant concepts.
Editor
Consistency across pages
Check for term drift; enforce glossary terms.
SEO
Topical completeness
Validate phrase coverage vs. search intent.
PM
Aligned product language
Ensure UI labels match site copy and docs.
CMS‑Friendly Workflow
Draft in your editor; paste body text into the analyzer.
Export CSV and attach to the content ticket.
Update headings and microcopy based on results.
Re‑run checks in staging before publishing.
Store exports with the release notes for traceability.
House Style Guidelines (starter)
Use present tense for procedures.
Capitalize UI labels exactly as in the product.
Prefer second‑person (“you”) in instructions.
Spell out acronyms on first mention.
Keep headings descriptive, not clever.
Quality Gates Before Publish
At least one example, table, or checklist present.
Top phrases reflected in headings or summary.
CTA is explicit and tied to user outcome.
Terminology conforms to your glossary.
Re‑run analysis after edits; attach the CSV.
Measurement Plan
Use analyzer exports to anchor a simple content KPI sheet.
KPI
Target
How this tool helps
Time on page
+10–20% after edits
Reveal missing sections; add examples where readers stall.
Click‑through to CTA
+5–10%
Align phrasing between headings and buttons.
Support deflection
Fewer duplicate tickets
Ensure top task phrases are addressed explicitly.
Persona Language Map
Different audiences use different labels for the same idea. Build a mini dictionary so pages speak the reader’s vocabulary.
E‑commerce: Use phrases to ensure specs and sizes match shopper intent.
Fintech: Check regulatory terms and fee language for precision.
Health & fitness: Balance medical accuracy with plain‑language guidance.
Developer docs: Verify API nouns, verbs, and error codes are consistent.
Education: Align objectives, steps, and assessment terms.
Agency Hand‑off Pattern
Brief → include a short “reader promise” and target phrases.
Draft → attach analyzer export and glossary notes.
QA → run a final pass for term consistency and CTA clarity.
Publish → keep the CSV with the ticket or release note.
Retro → measure scroll‑depth and CTA clicks vs. prior version.
Export Hygiene
Name files with date + page slug (e.g., 2025‑11‑compare‑pricing.csv).
Keep one export per stage (outline, draft, pre‑publish).
Annotate top 10 phrases with planned placement (H2, intro, table).
Advanced FAQ
Can I analyze PDFs?
Copy the main body text only to avoid headers/footers; for large docs, analyze section by section.
How long can my input be?
Very long inputs work best in chunks—chapter or section—so the results remain actionable.
Does this replace human editing?
No. It’s a compass for clarity and coverage, not a judgment of correctness or originality.
Before You Analyze: Prep Your Text
Paste only the main body to avoid nav/legal noise.
Remove duplicated blockquotes or code fences.
Keep section headings—they boost phrase clarity.
For long reports, analyze per chapter to keep results actionable.
Choosing the Right N‑gram
Mode
Best for
What you’ll see
1‑gram
Terminology inventory
Core nouns, repeated verbs
2‑gram
UI labels & task phrases
“create account”, “reset password”
3‑gram
Intent and snippet‑style steps
“how to export csv”
Evidence Pack Ideas
Pages that include small, concrete artifacts perform better. Consider adding:
A 4–8 row comparison table
One short worked example with numbers
A checklist of steps or pitfalls
A mini glossary (3–6 terms)
Reader Outcomes First
Identify the primary task the page helps a reader complete.
Ensure task phrases appear in headings and examples.
Use a CTA that names the task (“Download CSV”, “Compare drafts”).
Trim sentences that don’t move the task forward.
How the Word Frequency Counter Works
This tool scans your text, splits it into individual terms, and counts how often each term appears. You can then sort, filter, and spot repeated phrases fast—useful for SEO, editing, research, and content cleanup.
Unlike many online tools, the analysis runs in your browser. That means you can paste sensitive drafts (like client documents) without uploading your text to a server.
Tokenization: your text is broken into words based on spaces and punctuation.
Normalization: common formatting differences (like capitalization) can be treated consistently.
Counting: each word’s occurrences are tallied and displayed in a ranked list.
How to Use Word Frequency for SEO (Without Keyword Stuffing)
Word frequency is great for understanding what your page is ‘about’—but it should support readability, not hurt it. A healthy page uses key terms naturally across headings, subheadings, and body text.
If you see one phrase dominating your top list, you can rewrite a few sentences, add synonyms, or expand the topic coverage to improve topical depth.
Check the top 10 terms: do they match the topic you intended?
Look for missing related terms: add sections that address user questions.
Reduce repetition: swap repeated phrases with clearer alternatives.
Common Use Cases
People use word frequency analysis for far more than SEO. It’s a quick way to understand patterns in any text—long articles, essays, transcripts, resumes, product descriptions, and more.
If you write often, this becomes a ‘quality control’ step: it reveals repetition you don’t notice while drafting.
Editors: spot repeated words and tighten style.
Students: check essay variety and reduce filler words.
Marketers: ensure messaging is consistent across landing pages.
Researchers: summarize themes in interview transcripts.
Stop Words, Normalization, and Clean Results
When you analyze text, common words like “the,” “and,” and “to” can dominate the list. Filtering stop words helps you see the terms that actually carry meaning in your topic.
Normalization helps you interpret results consistently. For example, “Marketing” and “marketing” should usually be treated as the same term when you’re evaluating repetition.
Use stop-word filters when evaluating topical coverage.
Keep stop words ON when you’re checking writing rhythm or style.
If you copy text from a webpage, remove navigation/boilerplate so the counts reflect the content.
Mini Example: Spot Repetition Fast
Example:
Draft snippet (landing page)
Our app helps creators grow fast. Grow fast with smart tools. Grow fast with insights that show what works.
How to interpret this:
The phrase “grow fast” repeats unnaturally—rewrite two sentences with clearer, more specific wording.
Add a concrete benefit section (time saved, steps, or features) to increase usefulness.
Check if the top terms match your intended message (e.g., creators, tools, insights).