Count Words in Text

Count the frequency of each word in the text.

Input
Words to IgnoreEnter the words you don't want to count. (Put each word on a new line.)
Ignore words strictly according to their case.
Counting Mode
Count all words in text.
Count only non-repeating words.
Count words with different case as two unique words.
Contractions and Hyphens
Count contracted words as separate words.
Count hyphenated words as separate words.
Output (Word Counts)

Related Tools

Text Inspector

Frequency, Uniqueness and Count Characters, Words, Sentences and Lines.

Text

Sort Letters in Words

Sort letters within each word alphabetically in ascending or descending order with case insensitivity option.

Text

Swap Letters in Words

Swap characters inside each word based on custom positions.

Text

Remove Random Letters From Words

Remove random letters from words with control over removal count, positions, and word filters.

Text

What It Does

The Count Words in Text tool analyzes any block of text and calculates the exact frequency of every unique word it contains. Whether you're a writer, SEO specialist, student, or researcher, understanding how often specific words appear in your content is essential for producing clear, well-balanced writing. This tool processes your input instantly, delivering a ranked breakdown that shows which words dominate your text and which appear only occasionally. For SEO professionals, word frequency analysis is a critical step in auditing keyword density — ensuring that your target terms appear often enough to signal relevance to search engines, but not so often that they trigger spam filters. For academic writers, the tool helps measure vocabulary diversity and flag over-reliance on certain terms that can make prose feel repetitive. Content editors use it to spot weak filler words inflating word count without adding meaning. Marketers analyze competitor content by running it through the tool to uncover the terminology and phrasing patterns their audience responds to. The tool handles everything from short paragraphs to long-form documents, processing text in seconds regardless of length. Results can be sorted alphabetically or by frequency, giving you the flexibility to investigate your content from multiple angles. Whether you're optimizing a blog post, reviewing an essay draft, or conducting linguistic research, this word frequency counter gives you the data-driven insight you need to make smarter writing decisions.

How It Works

The Count Words in Text applies its selected transformation logic to your input and produces output based on the options you choose.

It applies a fixed set of transformation rules to your input, so the output is stable and easy to verify.

All processing happens in your browser, so your input stays on your device during the transformation.

Common Use Cases

  • Auditing keyword density in a blog post or landing page before publishing to ensure target terms appear at the right frequency for SEO
  • Identifying overused filler words like 'very', 'just', or 'really' in a draft essay so you can replace them with stronger alternatives
  • Comparing the vocabulary distribution of two pieces of content to determine which uses more varied, sophisticated language
  • Analyzing competitor articles to discover which keywords and phrases they prioritize, informing your own content strategy
  • Checking academic papers or theses for unintentional word repetition that may reduce readability and score lower on originality
  • Studying the linguistic patterns in speeches or transcripts for communication research or rhetorical analysis
  • Verifying that branded terms, product names, or calls-to-action appear consistently throughout marketing copy

How to Use

  1. Paste or type your text directly into the input area — the tool accepts any length of content, from a single paragraph to a full-length article or document
  2. The tool immediately begins processing your input, tokenizing each word and incrementing its count as it scans through the text
  3. Review the word frequency list that appears below the input, which displays each unique word alongside the number of times it occurs
  4. Toggle between alphabetical sorting and frequency-based sorting to view your data in the format most useful for your task — frequency sorting quickly surfaces your most-used words, while alphabetical sorting makes it easy to look up a specific term
  5. Use the results to make targeted edits: increase the frequency of underused keywords, reduce repetition of overused terms, or identify structural patterns in your writing
  6. For SEO workflows, cross-reference the frequency data against your target keyword list to confirm optimal density before publishing

Features

  • Accurate per-word frequency counting that processes every token in your text, including hyphenated compounds and contractions, to deliver a complete and precise word map
  • Dual sorting modes — sort results by frequency to instantly see your most dominant words, or switch to alphabetical order to quickly locate any specific term
  • Handles documents of any length efficiently, from short social media captions to multi-thousand-word reports, with no performance degradation
  • Case-insensitive matching ensures that 'Marketing', 'marketing', and 'MARKETING' are counted as the same word, giving you accurate totals without manual normalization
  • Real-time processing that updates results automatically as you modify your text, making it easy to iterate and test edits on the fly
  • Clean, scannable results layout that makes it easy to compare word counts at a glance without needing to export or manipulate data elsewhere
  • Supports plain text input from any source — paste from a Word document, web page, PDF, or any other text-based format

Examples

Below is a representative input and output so you can see the transformation clearly.

Input
WTools makes text fast
Output
Words: 4

Edge Cases

  • Very large inputs may take a few seconds to process in the browser. If performance slows, split the input into smaller batches.
  • Mixed formatting (tabs, line breaks, or inconsistent delimiters) can affect output. Normalize spacing first if needed.
  • Count Words in Text follows the selected options strictly. If the output looks unexpected, re-check option settings and input format.

Troubleshooting

  • Output looks unchanged: confirm the input contains the pattern this tool modifies and that the correct options are selected.
  • Output differs from a previous run: confirm that the input and every option match, because deterministic tools should repeat when the settings are identical.
  • Unexpected characters: check for hidden whitespace or encoding issues in the input and try normalizing first.
  • Slow processing: reduce input size or try a modern browser with more available memory.

Tips

For SEO purposes, target a keyword density of 1–2% for your primary keyword — if your article is 1,000 words, your main term should appear roughly 10–20 times. Avoid counting stop words like 'the', 'and', or 'is' when calculating meaningful density, as these inflate raw counts without contributing to topical relevance. When editing for readability, pay special attention to the top 10–15 most frequent non-stop words: if a content word appears far more often than its neighbors, it's a signal that your writing may feel monotonous and could benefit from synonyms or structural variation. For competitive research, run both your content and a top-ranking competitor's article through the tool side-by-side to spot gaps in terminology coverage.

Understanding Word Frequency Analysis: Why It Matters for Writers, SEOs, and Researchers At its core, word frequency analysis is the process of counting how many times each distinct word appears in a given body of text. It's one of the oldest and most foundational techniques in linguistics, computational text analysis, and natural language processing — and it remains one of the most practically useful tools available to modern content creators. The concept dates back to the early days of corpus linguistics, where researchers manually tallied word occurrences in large text collections to understand patterns of language use. Today, computational tools can perform the same analysis on thousands of words in milliseconds, making it accessible to anyone with a browser and a block of text. Why Word Frequency Matters for SEO Search engine optimization is perhaps the most common reason people turn to word frequency tools today. Search engines like Google use sophisticated algorithms to assess the topical relevance of a page, and one of the many signals they consider is how frequently certain terms appear relative to the total word count — a metric known as keyword density. While modern SEO has moved well beyond the keyword-stuffing practices of the early 2000s, density still matters. A page that never mentions its target keyword, or mentions it only once in 2,000 words, may struggle to rank competitively. Conversely, a page that mentions it 50 times in the same length of content risks a spam penalty. Word frequency analysis lets you find the sweet spot. Beyond primary keywords, frequency analysis helps SEO professionals identify semantic gaps — related terms and concepts that a well-optimized page should cover but currently doesn't. By analyzing top-ranking competitor content and comparing its word distribution to your own, you can discover vocabulary your audience expects to see and incorporate it naturally. Word Frequency in Academic and Professional Writing For students and academics, word frequency data serves a different but equally important purpose: improving writing quality. Repetitive word use is one of the most common stylistic weaknesses in student essays. When a word like 'important' or 'significant' appears a dozen times in a five-page paper, it signals limited vocabulary range and weakens the overall impression on readers and graders alike. Frequency analysis makes this problem immediately visible. Professional writers and editors use the same technique when polishing long-form content. Spotting that a word like 'leverage' appears eight times in a business article, for instance, prompts a conscious effort to diversify phrasing — replacing some instances with 'use', 'apply', or 'deploy' to improve readability without losing meaning. Word Frequency vs. Readability Scores It's worth distinguishing word frequency analysis from readability scoring tools like the Flesch-Kincaid index. Readability tools measure sentence length and syllable count to estimate how easy text is to read. Word frequency tools, by contrast, reveal the distribution of your vocabulary — which is a separate and complementary dimension of writing quality. A text can score well on readability metrics while still suffering from poor word diversity, or vice versa. Using both types of analysis together gives you the most complete picture of your content's strengths and weaknesses. Practical Applications Beyond Writing Word frequency analysis has applications that extend well beyond traditional writing contexts. Data scientists use it as a preprocessing step in machine learning pipelines, building term-frequency matrices that feed into sentiment analysis and topic modeling models. Historians analyze frequency shifts across large text corpora to track how language and cultural priorities change over time. Translators study word distributions to ensure that key terms carry appropriate weight in the target language. The humble word counter, it turns out, is a surprisingly versatile analytical instrument.

Frequently Asked Questions

What is word frequency analysis and how does it work?

Word frequency analysis is the process of counting how many times each unique word appears in a given piece of text. The tool tokenizes your input — splitting the text into individual words — and then tallies each occurrence, producing a ranked list of every distinct term along with its count. This gives you a clear picture of your vocabulary distribution and helps identify which terms dominate your content. It's used in fields ranging from SEO and content writing to linguistics, data science, and academic research.

What is keyword density and why does it matter for SEO?

Keyword density refers to the percentage of times a target keyword appears relative to the total word count of a page. For example, if your article is 1,000 words and your target keyword appears 15 times, your keyword density is 1.5%. Search engines use this as one of many signals to assess a page's topical relevance. A density that's too low may mean the page doesn't emphasize the topic enough, while density that's too high can appear spammy and trigger algorithmic penalties. Most SEO practitioners recommend a density of 1–2% for primary keywords.

Does the tool count stop words like 'the', 'and', and 'is'?

Yes, the tool counts all words in your text, including common stop words like 'the', 'a', 'and', 'is', and 'of'. These high-frequency function words will typically dominate the top of your frequency list. When using the results for SEO or vocabulary analysis, focus on the content words — nouns, verbs, adjectives, and adverbs — rather than stop words, as these are the terms that carry semantic meaning. If you're analyzing keyword density, divide your target keyword's count by the total word count excluding stop words for a more meaningful metric.

How is a word frequency counter different from a standard word count tool?

A standard word count tool simply tells you the total number of words in your text — a single number. A word frequency counter goes much deeper, breaking down the text and showing you how often each individual word appears. This distinction matters because total word count tells you the length of your content, while word frequency tells you its composition and emphasis. For SEO analysis, writing improvement, and content research, the frequency breakdown is far more actionable than a raw total.

Can I use this tool to analyze competitor content for SEO?

Absolutely. One of the most effective uses of this tool is competitive content analysis. Copy the text from a competitor's high-ranking page, paste it into the tool, and examine which terms they use most frequently. This can reveal the keywords, phrases, and related concepts that their content prioritizes — information you can use to identify gaps in your own content and strengthen its topical coverage. Doing this across several top-ranking competitors for a given keyword gives you a strong picture of the vocabulary and concepts Google associates with that topic.

How can I use word frequency data to improve my writing quality?

Start by scanning the top 20–30 most frequent content words in your text. If any single word appears significantly more often than its neighbors, that's a sign of over-reliance that may make your writing feel repetitive. Use a thesaurus to identify synonyms and alternate phrasings you can substitute for some instances. Also look for weak filler words — like 'very', 'really', 'just', or 'quite' — appearing frequently, as reducing or eliminating these typically strengthens the overall prose. Running the analysis before and after editing lets you measure concrete improvement in your vocabulary diversity.