Keyword Density & TF Analyzer

Analyze keyword density and term frequency for any text or live URL. Get word count and reading time, one-, two- and three-word phrase frequency with density %, stop-word filtering, a focus-keyword optimization check with over-use warnings, and keyword prominence, then export to CSV. Free, private, in-browser.

The Keyword Density & TF Analyzer breaks any article or web page down into the words and phrases that actually carry its meaning. Paste text or fetch a live URL and instantly see word count, reading time and the frequency of every one-, two- and three-word phrase, each with its density percentage. Filter out stop words to surface real keywords, enter a focus keyword to get a density reading with clear over-optimization or under-use warnings, and see which terms appear prominently in the opening 100 words. It's a fast way to audit your own content for keyword stuffing or thin coverage, or to reverse-engineer what a competitor's page is optimized for, and every table exports to CSV.

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Keyword Density & TF Analyzer

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Overview

Keyword density, in context and without the guesswork

Keyword density is simply how often a term appears relative to the total number of words, expressed as a percentage. It's a useful diagnostic, not a magic number: modern search engines don't reward a specific density, but a term that appears too often reads as spammy 'keyword stuffing', while a focus keyword that barely appears sends a weak relevance signal. This analyzer gives you the real numbers instead of a feeling, exact counts and density for every word and phrase in your text, so you can spot both problems. Enter your focus keyword and it flags an unhealthily high density (a stuffing risk) or a suspiciously low one, and points out whether the keyword shows up early in the content where it carries more weight.

Included

Features

01
Word, character, sentence, unique-word count and reading-time estimate
02
1-word, 2-word and 3-word (n-gram) frequency with count and density %
03
Stop-word filtering to surface meaningful keywords, not 'the' and 'and'
04
Focus keyword check with density and over-optimization / stuffing warnings
05
Keyword prominence: flags terms used in the first 100 words
06
Analyze pasted text or fetch a live URL (HTML stripped automatically)
07
Filter, set min count / min length, and export any table to CSV
How to use

How to use Keyword Density & TF Analyzer

  1. 01

    Add your content

    Paste an article or page copy into the box, or switch to Fetch URL to pull a live page, its HTML is stripped to plain text automatically.

  2. 02

    Read the headline stats

    See total words, unique words, sentences, characters and an estimated reading time to gauge the content's depth at a glance.

  3. 03

    Explore keyword frequency

    Switch between 1-word, 2-word and 3-word phrases, toggle stop-word filtering, and set a minimum count or length to focus the table. Each term shows its count, density % and whether it appears in the first 100 words.

  4. 04

    Check your focus keyword & export

    Enter your target keyword to get its density and an over-optimization or under-use recommendation, then export any table to CSV for reporting or deeper analysis.

Use cases

Common use cases

  • -Audit an article for keyword stuffing before publishing, aiming for a natural density range.
  • -Confirm your focus keyword actually appears enough (and early enough) to signal relevance.
  • -Reverse-engineer which keywords and phrases a competitor's ranking page is optimized around.
  • -Find the dominant themes and phrases in a long document or transcript.
  • -Check that supporting/secondary keywords are present, not just the head term.
  • -Generate a keyword-frequency CSV for a content report or client deliverable.
Guide

Detailed guide

Phrases matter more than single words

Real search queries are usually phrases, not lone words, so the tool analyzes one-, two- and three-word combinations (n-grams), not just single terms. Two- and three-word phrase frequency reveals the actual topics and long-tail variations a page emphasizes, which single-word counts hide. A stop-word filter removes function words like 'the', 'and' and 'of' that dominate raw counts but carry no topical meaning, so the terms that rise to the top are the ones that actually describe the content. You can tune the minimum count and minimum word length, and filter the table to a specific term, to zero in on exactly what you're auditing.

Analyze your own text or any live URL — privately

Paste copy directly, or fetch a live URL and the tool extracts the readable page text (stripping scripts, styles and markup) before analyzing it, handy for auditing a competitor's page or a page you've already published. Because the analysis itself runs entirely in your browser, your draft content is never stored or sent anywhere, and every frequency table can be exported to CSV for a content brief, an SEO report or a client hand-off. It turns a vague 'is this over-optimized?' into concrete, exportable numbers in seconds.

FAQ

Frequently asked questions

What is a good keyword density?+

There's no exact target, but a natural focus-keyword density is usually somewhere around 0.5%–2.5%. Much higher starts to look like keyword stuffing; much lower may signal weak relevance. This tool flags both extremes for your focus keyword, but always prioritize writing naturally for readers.

Can I check the keyword density of a live web page?+

Yes. Switch to Fetch URL, paste the page address, and the tool retrieves the page, strips the HTML to plain text, and analyzes its keyword density and phrase frequency, useful for auditing your own published pages or a competitor's.

What are 1-word, 2-word and 3-word analyses?+

They're n-grams, single words, two-word phrases and three-word phrases. Because people search in phrases, the 2- and 3-word views reveal the topics and long-tail terms a page emphasizes far better than single-word counts alone.

What does the stop-word filter do?+

It removes common function words like 'the', 'a', 'and' and 'of' that appear constantly but carry no topical meaning, so the meaningful keywords rise to the top of the frequency table instead of being buried.

What is keyword prominence?+

Prominence reflects where a keyword appears. Terms used early, in the first 100 words, tend to carry more weight, so the tool tags keywords that show up in that opening section.

Is my text uploaded or stored?+

No. The analysis runs entirely in your browser and your pasted text is never stored or transmitted. Fetching a URL uses a lightweight proxy only to retrieve that public page's HTML.

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