Measure literal term frequency without SEO promises

Keyword Density Checker

Count a literal keyword or phrase in bounded text, choose whole-term or substring matching and case behavior, then report occurrence and word-based density context. Density is a descriptive ratio only; it does not predict search ranking, topical authority, quality, intent coverage, spam classification, or reader value.

01Private by designYour text stays in this browser tab.
02Bounded and responsiveUp to 250,000 characters for bounded local analysis.
03Ready to reuseCopy the result or download a branded TXT file.

No text upload to Nirmion

Counting and transformations run locally. Nirmion does not send the text in this workspace to an API.

01 / Input

Add source text and one literal keyword or phrase

Use the exact term whose repetition you want to inspect, including spaces and punctuation that should participate in matching. Source text is limited to 250,000 characters and the keyword to 200; density multiplies occurrences by keyword word count and divides by total source words.

Source textPaste representative text up to 250,000 characters.0 / 250,000 charactersKeyword or phraseEnter one literal value up to 200 characters. Regex syntax is escaped.0 / 200 charactersCase matchingChoose whether capitalization creates a different match.Match boundaryCount whole terms or allow matches inside larger words.

Complete the required fields to enable this action.

Runs in this tab without an API request.

Product guide

Inspect repetition without optimizing toward a magic percentage

Literal frequency can reveal accidental repetition, missing terminology, or an overused phrase, but relevant writing cannot be reduced to one ratio. Review the complete result in its destination because automated text rules cannot infer every language, house style, data model, or publishing intention.

Step A

Prepare the input

Paste the representative body copy and enter one keyword or phrase. Exclude navigation or boilerplate when it is not part of the content being evaluated.

Step B

Choose the rule

Whole-term mode protects Unicode letter and number boundaries; substring mode also counts the sequence inside larger words. Case-sensitive mode distinguishes capitalization.

Step C

Review the output

Read every occurrence in context. Improve clarity, synonyms, structure, and intent naturally instead of inserting terms solely to raise a percentage.

How it works

Escaped literal matching with an explicit density formula

The keyword is escaped before a global Unicode regular expression is created, so punctuation has no pattern meaning. Whole-term mode adds negative and positive Unicode letter-number boundaries. Occurrence count is multiplied by the keyword word count, divided by the total source word count, and displayed as a percentage. The source is capped at 250,000 characters, the keyword at 200 characters, empty terms are rejected, and matching is non-overlapping. The operation runs in this browser tab, applies explicit bounds before expensive work, and does not send workspace text to a Nirmion API.

Useful when

Find repetition and terminology gaps

Use density as one editorial measurement when consistency or overuse is already a specific review question.

Check whether a product, policy, technical term, or campaign phrase appears consistently across a draft.
Spot repeated wording that makes an article, landing page, help document, or transcript sound unnatural.
Compare literal phrase usage between versions without sending unreleased content to an SEO service.

Questions answered

Keyword Density Checker questions

Practical boundaries matter with text tools. These answers explain what is measured, what is retained, and when a manual review is still needed.

What is a good keyword density?

There is no universal good percentage. Write for the task and reader, then use this ratio only to investigate repetition or omission.

How are phrases calculated?

Each non-overlapping phrase occurrence is multiplied by the number of words in that phrase before dividing by source words.

Does whole-term mode understand stemming?

No. It protects character boundaries but does not combine plurals, inflections, synonyms, misspellings, or semantic variants.

Privacy and retention

Your draft stays on your device.

Nirmion performs these operations with browser JavaScript. The workspace does not call the catalogue API with your source text, and completed-job content is kept only in this component memory for re-download.

A downloaded file remains in your browser downloads, device storage, backups, and any location where you share it. Clear or close the page when working on a shared device, and avoid pasting secrets into extensions or third-party clipboard managers.

Tool details

Literal keyword density with a visible formula

Nirmion Keyword Density Checker measures one literal word or phrase against a Unicode-aware source word count. Whole-term or substring matching and optional case sensitivity make the rule explicit, while occurrence, phrase-word, source-word, and percentage metrics expose the calculation. The keyword is escaped before a global Unicode regular expression is created, so punctuation has no pattern meaning. Whole-term mode adds negative and positive Unicode letter-number boundaries. Occurrence count is multiplied by the keyword word count, divided by the total source word count, and displayed as a percentage. This makes the behavior inspectable and repeatable instead of presenting an unexplained result.

The report downloads as text_nirmion_tools_keyword_density_report.txt for up to 250,000 characters. Nirmion makes no ranking promise and explains that density cannot replace search intent, evidence, structure, readability, or audience value. The operation runs in this browser tab, applies explicit bounds before expensive work, and does not send workspace text to a Nirmion API. Downloading clears the active workspace while the latest three completed results remain available in this tab for re-download.