A keyword density checker on Mac runs entirely in Safari or Chrome with no install, no upload, and no sign-up, so a Mac user can paste any draft into the local browser tab and read the frequency numbers immediately. The Keyword Density Checker counts Unicode word tokens in up to 500,000 characters, totals unique normalized tokens, lists the 50 most frequent eligible single words, and reports an optional exact phrase as a contiguous match. Every percentage divides the count by total recognized tokens, then multiplies by 100, with the denominator disclosed so you can verify each row. Because tokenization uses Unicode letter and number properties, words written beyond basic ASCII, including forms such as l'été, remain single countable units. The report stays on the device, never reaches an AI model or external server, and never fetches the live URL you might have drafted on. That combination of local processing and documented math is what makes a browser-based Mac workflow reliable for inspecting drafts before publishing.
What a keyword density checker on Mac actually does
On macOS the tool lives in the browser tab you already have open. Paste any block of text — a blog post, a product page, a newsletter draft — and the checker parses the document, lowercases every letter through Unicode conversion, then splits it into word tokens using Unicode letter and number properties with optional internal straight or typographic apostrophes. Punctuation, dashes, symbols, and whitespace separate tokens. The result is a frequency report with four layers: total word count, count of unique normalized tokens, the 50 most frequent eligible single words, and an optional contiguous keyword phrase. Each displayed percentage equals count ÷ total tokens × 100, with the denominator kept identical across rows so the math is transparent rather than guessed.
The Minimum word length control only filters which single-word rows appear in the frequency table; total and unique counts continue to include every recognized token. A minimum of two, for instance, hides rows such as a or I, but those tokens still count toward the denominator. This prevents a filtered view from quietly inflating the percentages you read on screen, and it keeps the displayed math consistent with the totals.
The tool also offers one optional exact-phrase slot. The phrase is tokenized by the same rules, matched as a contiguous sequence, and reported as occurrence count ÷ total tokens × 100. Phrase matches may overlap, and the phrase length is not multiplied into the denominator, so the documented formula stays identical to the single-word math.
How to check keyword density on a Mac in your browser
On macOS the entire workflow stays inside one browser tab. The following steps use Safari as the reference browser, but Chrome behaves identically because the checker renders everything client-side using JavaScript and never reaches a server.
- Open Safari or Chrome on macOS and load the Keyword Density Checker.
- In your draft source — Pages, TextEdit, Bear, Ulysses, Google Docs, or a CMS editor — select the visible copy with Cmd+A and copy it with Cmd+C, or highlight only the section you want inspected.
- Click into the text box in the checker, paste with Cmd+V, and optionally type the exact keyword or phrase you want tracked into the phrase field.
- Set the Minimum word length to the smallest token length you want displayed in the table — leave at 1 to see every token, raise it to 2 or 3 to hide short rows.
- Select Check keyword density; the page will reject empty or token-free content rather than returning a misleading zero report.
- Read total words, unique words, the displayed single-word rows, and the phrase count, then revise the draft in your editor and re-run the analysis to compare revisions using the same tokenizer and denominator.
The 500,000-character ceiling applies to the pasted text, so for very long drafts paste a single section at a time. The page renders everything client-side; your text does not leave the browser tab, which is convenient on shared Macs where you want drafts to stay on the device.
Reading the frequency table on macOS
The table presents each eligible token, its count, and its density percentage. Rows sort by descending count and then alphabetically for deterministic ties, so two revisions of the same draft produce comparable layouts. Only the top 50 terms appear, while total and unique counts still cover the complete text. The maximum-50 cap keeps the interface readable on a MacBook screen without truncating the underlying counts that drive the denominator.
Using the documented test sentence "Red blue red. RED green blue red-blue.", the tokenizer finds eight total words. Red appears four times for 50%, blue appears three times for 37.5%, and green appears once for 12.5%. The exact phrase "red blue" occurs twice, producing a phrase density of 25% under the documented denominator of total tokens. The math for any other sentence follows the same formula — count ÷ total tokens × 100 — so you can verify each row yourself before treating it as evidence.
What the report covers and what it intentionally leaves out
Because the report is page-side, the tool works on drafts without sending text to a server, but it deliberately avoids features that would change the math or the reading. The following comparison lists what the report covers on macOS and what it intentionally leaves out so the numbers stay descriptive and verifiable.
| The report on macOS shows | The tool intentionally does not |
|---|---|
| Total word tokens and unique normalized tokens | Fetch a live URL, render JavaScript, or analyze the web |
| The 50 most frequent eligible single-word rows | Compare competitors, headlines, or search results |
| An optional exact-phrase count with phrase density | Detect language, stem, lemmatize, or remove stop words |
| Percentages using a disclosed total-token denominator | Estimate ranking difficulty, search volume, or traffic |
| Case-insensitive matching through Unicode lowercase | Connect to Search Console, AI models, or external services |
The tokenization uses Unicode letter and number properties, so words with diacritics or non-ASCII scripts remain countable, and an internal apostrophe can stay inside a token so forms such as don't or l'été stay as single units. Punctuation, dashes, symbols, and whitespace separate tokens. Empty or token-free input is rejected rather than returned as a misleading zero report.
Why density numbers alone do not improve rankings
Density is a descriptive signal, not a ranking target. According to Google's spam policies for keyword stuffing, search engines evaluate many factors at once, and repeating a phrase to reach a numeric target can look like keyword stuffing and make copy worse. Use the report to notice accidental repetition, missing terminology, or editorial imbalance, then revise for readers rather than for a percentage.
The tool makes no ranking guarantee and recommends no target. Search engines weigh usefulness, intent satisfaction, originality, structure, links, reputation, and many other signals. Treat each row as a question — "does this term deserve to appear this often in my draft?" — instead of as a goal. Editorial judgment and any actual search performance data you collect should sit above any isolated density number.
Common mistakes Mac users make when pasting into a density tool
- Pasting the full CMS page including nav, footer, and sidebars. Repeated templates and chrome inflate denominator counts and lower every meaningful percentage. Paste only the visible copy you want inspected.
- Trusting a filtered table to mean hidden tokens are gone. Minimum word length only affects display rows; total and unique counts still include every recognized token, so percentages stay honest.
- Reading the top-50 cap as a ceiling on analysis. Total and unique counts cover the complete input even when the table is capped at 50 rows.
- Chasing a target percentage across revisions. Two revisions with the same denominator but different intent can sit at the same density number while one is clearer; density is descriptive, not prescriptive.
- Assuming the checker fetched the live page or compared competitors. The tool analyzes only what you paste into the current browser tab and never reaches out to the network.
For a guided walkthrough of the same inspection on long draft articles, see the guide on checking keyword density in your drafts.