Word Frequency Counter — Top Words and Keyword Density

What is a Word Frequency Counter?

A Word Frequency Counter (शब्द आवृत्ति काउंटर) counts how many times each word or phrase appears in a text and lists them from most to least frequent. It is a simple form of text analysis with many uses. Writers use it to catch words they overuse. SEO specialists use it to check that a page focuses on its topic without stuffing keywords. Students and researchers use it to study speeches, books and survey answers. Teachers use it to analyse vocabulary, and marketers use it to see which words customers repeat in reviews.

This free tool counts single words and two- or three-word phrases, filters out common filler words in both English and Hindi, shows each term's share of the text (density), and includes a dedicated keyword density checker that explains its calculation. You can export the results as a CSV file. Everything runs in your browser, so drafts and private documents stay on your device.

Key Features

• Top 200 words or phrases with counts and density percentages.
• Phrase analysis — 2-word and 3-word sequences (n-grams).
• Keyword density checker for any word or phrase.
• Stop-word filter for common English and Hindi words.
• Minimum word length, case sensitivity and numbers options.
• Total words, unique words and lexical diversity.
• Unicode-aware — works for Hindi, other Indian languages and accented text.
• Copy or export CSV for spreadsheets.

How to Use It — Step by Step

1. Paste your text — an article, essay, transcript, product reviews or any other text.
2. Choose single words, 2-word or 3-word phrases.
3. Adjust filters — ignore common words, set the minimum word length, case and numbers.
4. Read the table and the totals above it.
5. Type your target keyword to see its count and density with the calculation.
6. Copy or download the results.

How Density is Calculated

For each word in the table, density = count ÷ total words × 100. For phrases, the tool uses count × number of words in the phrase ÷ total words × 100, which is the share of all words that belong to that phrase. The keyword checker uses the same method and prints the full calculation.

Example: the sample text on this page has 47 words. The phrase “online tools” appears 3 times, so its density is 3 × 2 ÷ 47 × 100 = 12.77%. That figure is deliberately high because the sample is a short, repetitive paragraph — in a real 1,000-word article, the same three mentions would be only 0.6%.

Total words always include stop words, because readers read them. The stop-word filter only hides them from the frequency list.

Keyword Density and SEO — the Honest Truth

Years ago, some people believed a page needed a precise keyword density, such as 2% or 3%, to rank. Modern search engines understand language far better than that. Google's guidance is to write helpful content for people and it lists “keyword stuffing” — repeating words unnaturally — as spam. So:

• There is no ideal density to aim for.
• Use your main topic naturally in the title, headings and text, as a human writer would.
• Use the counter as a sanity check: if one keyword makes up a large share of your words, the text probably sounds repetitive.
• Look at the phrase lists to make sure you also cover related terms and synonyms, which helps both readers and search engines understand the topic.

Stop Words in English and Hindi

In almost any text, the most frequent words are small function words: “the”, “and”, “to”, “of”, “is” in English, or “का”, “की”, “के”, “है”, “में”, “और” in Hindi. They are essential for grammar but tell you little about content. With Ignore common words ticked, the tool hides about 180 such words. For phrases, any phrase that starts or ends with a stop word is skipped, which removes fragments like “of the” or “में है” while keeping meaningful phrases such as “free online tools”. Untick the option when you are studying writing style rather than topics.

Why Phrases Matter

Single-word counts can be misleading: “tools” might appear often, but are you writing about “online tools”, “garden tools” or “tools for teachers”? Two- and three-word phrases reveal the actual expressions you repeat. They are also useful for spotting accidental repetition of the same phrase in nearby sentences, finding the long-tail search phrases a page covers, and checking that a speech or essay does not lean on the same catchphrase too often.

Lexical Diversity

Lexical diversity (also called the type–token ratio) is unique words ÷ total words. A short note might score 80% or more because few words repeat; a long article naturally scores lower because common words recur. It is most useful for comparing drafts of similar length — if a revision has noticeably lower diversity, it may have become repetitive. Language learners also use it to track how varied their vocabulary is.

How Words Are Detected

The tool finds words as runs of Unicode letters, digits and combining marks, so Hindi words with vowel signs (मात्राएँ) and conjuncts stay whole, and accented words such as “café” count as one word. Apostrophes and hyphens inside a word are kept, so “don't” and “well-known” count as single words. Punctuation, emoji and symbols are ignored. Phrases are built from consecutive words in the order they appear, after the minimum-length and number filters are applied. Counting is case-insensitive unless you tick Case-sensitive, using locale-aware lower-casing.

Reading the Results Like an Editor

• Your topic should be near the top once stop words are hidden. If unrelated words dominate, the text may wander off topic.
• Look for crutch words — “really”, “very”, “just”, “basically” — and trim them.
• Check the phrase lists for the same expression repeated in nearby paragraphs.
• Compare drafts by exporting CSV files and viewing them side by side in a spreadsheet.

Everyday Uses

• SEO writing — check topic focus and avoid keyword stuffing.
• Editing — find overused words like “very”, “really”, “actually”.
• Academic work — analyse speeches, texts and interview transcripts.
• Customer feedback — find the words customers mention most in reviews.
• Social media — study captions and comments.
• Hindi content — analyse Hindi blogs, news and essays.
• Teaching — build vocabulary lists from a chapter or story.

Common Mistakes to Avoid

• Chasing a density number — readability matters far more.
• Analysing text with navigation and footer copied in — paste only the main content.
• Comparing diversity across very different lengths.
• Forgetting word forms — “tool” and “tools” are counted separately; consider both.
• Ignoring phrases — single words alone can hide repeated expressions.

Tips and Troubleshooting

• Too many tiny words in the list — tick Ignore common words or raise the minimum length.
• Numbers missing — tick Include numbers.
• Keyword shows 0 — check spelling; the checker matches whole words in order, ignoring case.
• Table shows only 200 rows — that is the display limit; very rare words are left out.
• Hindi words split oddly — text copied from PDFs sometimes contains broken characters; retype or paste from a Unicode source.
• Density looks high on short texts — that is normal; percentages swing widely when there are few words.

Quick Glossary

• Frequency: how many times a word or phrase occurs.
• Density: the percentage of all words taken up by a term.
• N-gram: a sequence of n consecutive words.
• Stop words: common function words usually excluded from analysis.
• Lexical diversity: unique words divided by total words.
• Keyword stuffing: unnatural repetition of keywords to manipulate rankings.
• Corpus: a collection of texts analysed together, such as all the posts on a blog.

Why Use This Word Frequency Counter?

It combines word and phrase frequencies, a transparent keyword-density check, bilingual stop-word filtering and CSV export in one fast, private tool — and it gives honest advice about how to use the numbers.

Word Frequency Counter — Key Facts

Frequently Asked Questions

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