Free keyword ranker

Text Keyword Extractor

Paste any text to extract and rank its keywords by frequency. Stopwords and short words are filtered automatically, with a live tag cloud and one-click copy.

Your text

0 words0 keywords

Find the real topic of any text fast

Word count alone doesn't tell you what a piece of writing is actually about. Filtering out common function words surfaces the terms that carry the meaning.

150+ stopwords built in

Common words like the, and, of and is are excluded automatically so they don't dominate the results.

Adjustable minimum length

Raise or lower the minimum word length to fine-tune results for short or technical text.

Instant tag cloud

See keyword importance at a glance, with font size scaled to how often each word appears.

How to extract keywords

  1. Paste your textDrop in an article, transcript, product description or any block of writing.
  2. Adjust the minimum lengthTune the minimum word length if you want to include or exclude shorter terms.
  3. Review and copyScan the ranked table or tag cloud, then copy the list as comma-separated keywords.

About keyword frequency and stopwords

Keyword frequency analysis is one of the oldest techniques in text analytics, and it still works because most languages, English included, are dominated by a small set of grammatical words that appear constantly regardless of topic. Words like the, of, to, and, a and in typically account for a large share of any English text's total word count, yet they say nothing about the subject matter. Filtering them out, a step known as stopword removal, is what turns a raw word frequency count into something actually useful for spotting a document's real focus. This tool ships with a list of more than 150 common English stopwords covering articles, prepositions, pronouns, conjunctions and common auxiliary verbs. Beyond stopwords, very short words are often noise too, which is why a minimum length filter is included and defaults to 4 characters, long enough to exclude most leftover short words without cutting genuinely meaningful four-letter terms. The percentage column matters as much as the raw count: a word appearing 5 times in a 50-word text is far more dominant than the same count in a 2,000-word article, and the percentage makes that difference visible at a glance instead of requiring mental math. None of this replaces true natural-language topic modeling, but for a fast, transparent read on what a piece of text emphasizes, simple frequency counting after stopword removal remains hard to beat.

Frequency is a proxy

High frequency suggests emphasis, not necessarily importance; use judgment alongside the numbers.

Stopwords aren't universal

This list targets general English; specialized fields may need additional words filtered manually.

Works on any length

From a single paragraph to a full article, the ranking recalculates instantly as you type.

Text keyword extractor FAQ

How are keywords ranked?

The tool lowercases and splits your text into words, removes common stopwords and anything shorter than the minimum length, then counts and sorts what remains by frequency.

What counts as a stopword?

The tool uses a built-in list of over 150 common English function words, such as the, and, of, to and is, which carry little topical meaning on their own.

Can I change the minimum keyword length?

Yes. Use the minimum length control to exclude short words. It defaults to 4 characters, but you can lower or raise it to fit your text.

What does the percentage column mean?

It shows what share of all counted words (after filtering) each keyword represents, which helps gauge how dominant a term is rather than just its raw count.

Is this keyword extractor free and private?

Yes. All extraction happens locally in your browser using plain JavaScript. Your text is never uploaded or stored.

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