Word Frequency Counter & Text Analyzer

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.

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.

Contact Us

Email: everyday_royalties.com

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.

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.

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.

  1. Identify the most repeated meaningful phrase (ignore stop words).
  2. Rewrite 2–3 sentences by adding a specific detail (what, how, or why).
  3. Add one new section: example, troubleshooting, or FAQ.
  4. 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.

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.

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.

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.

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.

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.

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.

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.

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).

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.

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.

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.

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.

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’.

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).

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.

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.

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

  1. Run the analyzer on your draft and skim the top 20 terms.
  2. Switch to bigrams/trigrams to expose recurring phrases and intent.
  3. Trim filler words and merge duplicated concepts (e.g., “sign in” vs “log in”).
  4. Compare your results to the top ranking pages for your target query.
  5. 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”.

Do you send my text anywhere?

No. All analysis runs locally in your browser.

Readability vs. Accessibility: Writing That Works for Everyone

Meet both goals: clear language plus inclusive structure.

Editing with Data: Turn Readability Scores into an Action Plan

Baseline → high‑impact edits → structure → style → measure.

Designing Help Docs That People Actually Read

Task‑first pages, strong IA, and success metrics.

Choosing the Right Reading Level for Your Audience

Pick targets by risk, domain, and channel—with testing.

Plain Language for Technical Teams: Before/After Examples

Concrete rewrites for errors, APIs, and release notes.

How to Use Word Frequency Analysis for SEO

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

  1. Paste a representative sample (300–500 words).
  2. Check Flesch and FK Grade; note long sentences and jargon clusters.
  3. Trim run-ons; define acronyms; convert passive to active where it helps.
  4. Re-run the analyzer and compare improvements.
  5. 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.

How it works

  1. Paste your text (or type directly).
  2. Click Analyze to compute frequencies.
  3. 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.

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

  1. Draft freely without worrying about keywords.
  2. Analyze with this tool to find overused words.
  3. Revise for clarity, variety, and user intent.
  4. 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

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.

From the Blog

Latest guides and how‑tos:

What These Scores Mean

90–100 Very easy 80–90 Easy 60–79 Plain 30–59 Difficult 0–29 Very difficult 0 100

How it’s calculated

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.

    1. Balance clarity vs. variety: Repeating essential terms helps searchers, but rotate phrasing to stay human.
    2. Tune microcopy: Check button and form labels for consistent verbs (e.g., “Create account” vs. “Sign up”).
    3. Map to questions: Compare your top terms to common reader questions. If answers aren’t obvious, add examples.
    4. Prevent cannibalization: If two pages share identical high‑frequency terms and intent, consolidate or differentiate.
    5. 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)

    ProblemSymptomFix
    Over‑optimizationUnnatural repetition of a single phraseUse synonyms and re‑frame with questions and examples.
    Jargon sprawlMultiple terms for the same ideaPick a primary term and mention alternatives once.
    Thin summariesDefinitions without actionable valueAdd steps, checklists, or short scenarios.
    Ambiguous CTAsReaders can’t tell what to do nextUse 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

    1. Run the analyzer and skim the top 20 terms for relevance.
    2. Switch to bigrams to reveal the phrases readers expect.
    3. Update headings and first paragraphs to reflect the core concepts.
    4. Add a small example, table, or checklist near your main claim.
    5. 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

    1. Draft → run frequency & phrase analysis.
    2. Create a one-paragraph “reader promise” that reflects the top concepts.
    3. Add one table or checklist per ~800 words.
    4. Cut duplicate sentences; keep the strongest example.
    5. Re-run and export a snapshot for your editorial ticket.

    Content Types & Suggested Signals

    Content typeUseful signalWhat to adjust
    TutorialHigh overlap in task phrasesSteps, screenshots, error handling
    ComparisonBalanced brand/product mentionsFeature table, decision criteria
    DefinitionStrong concept terms, low fluffExamples, “what it is / isn’t”
    Release notesVersion and feature clustersLink 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

    RoleGoalHow to use this tool
    WriterClear, helpful draftRun frequency early; align headings with dominant concepts.
    EditorConsistency across pagesCheck for term drift; enforce glossary terms.
    SEOTopical completenessValidate phrase coverage vs. search intent.
    PMAligned product languageEnsure UI labels match site copy and docs.

    CMS‑Friendly Workflow

    1. Draft in your editor; paste body text into the analyzer.
    2. Export CSV and attach to the content ticket.
    3. Update headings and microcopy based on results.
    4. Re‑run checks in staging before publishing.
    5. 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.

    KPITargetHow this tool helps
    Time on page+10–20% after editsReveal missing sections; add examples where readers stall.
    Click‑through to CTA+5–10%Align phrasing between headings and buttons.
    Support deflectionFewer duplicate ticketsEnsure 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.

    PersonaPrefersAvoid
    BeginnerPlain definitions, step listsJargon, internal code names
    EvaluatorComparisons, criteria, tradeoffsFluffy benefits without proof
    ExpertSpecs, versions, edge casesOver-explaining basics

    Content Lifecycle

    1. Outline → verify phrases match intent.
    2. Draft → check frequency and trim repetition.
    3. Pre‑publish → add table/checklist and examples.
    4. Post‑publish → monitor questions; iterate headings.
    5. Quarterly → re‑compare against fresh results.

    Ready‑to‑Use Templates

    Copy these into your docs tool and customize:

    • “Reader Promise” intro (2 sentences)
    • Task checklist (5–7 steps)
    • Decision table (criteria × options)
    • Glossary block (term, plain definition, example)

    Real Examples by Niche

    • 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

    1. Brief → include a short “reader promise” and target phrases.
    2. Draft → attach analyzer export and glossary notes.
    3. QA → run a final pass for term consistency and CTA clarity.
    4. Publish → keep the CSV with the ticket or release note.
    5. 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

    ModeBest forWhat you’ll see
    1‑gramTerminology inventoryCore nouns, repeated verbs
    2‑gramUI labels & task phrases“create account”, “reset password”
    3‑gramIntent 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

    1. Identify the primary task the page helps a reader complete.
    2. Ensure task phrases appear in headings and examples.
    3. Use a CTA that names the task (“Download CSV”, “Compare drafts”).
    4. 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.

    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.

    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.

    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.

    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: