Keyword Extractor guide
Find repeated English words and two-word phrases in your text with a transparent local ranking.
What this tool does
The Keyword Extractor tokenizes the supplied text, removes common English function words, and scores the remaining terms using frequency and word length. When phrase analysis is enabled, adjacent meaningful words are also scored as two-word phrases. The highest-ranked terms are displayed with their occurrence counts and can be copied as a comma-separated list.
This is a statistical text-analysis utility, not a search-volume service or a generative model. It does not know whether a phrase is competitive, commercially valuable, factually important, or appropriate for a particular audience. Instead, it answers a narrower and verifiable question: which meaningful terms are most prominent in this exact passage under the displayed method?
The analysis is optimized for English because its stop-word list contains common English words. Words written in other scripts can still be counted, but filtering and ranking may be less useful without language-specific rules.
How to use it
- Paste at least ten words into the text area.
- Choose how many ranked terms to return.
- Enable two-word phrases when combinations such as “content quality” matter.
- Select Extract keywords.
- Review the term, rank, and occurrence count before copying the list.
For a more representative result, analyze complete paragraphs rather than a headline alone. A very short sample gives each repeated word disproportionate influence. Remove navigation labels, legal boilerplate, and unrelated footer text when you want to understand the main body of a document.
Benefits
- Provides repeatable frequency-based ranking
- Finds individual terms and adjacent two-word phrases
- Displays occurrence counts for verification
- Explains the method and its limitations
- Performs all analysis locally without an upload
Interpreting the ranking
High rank means a term appears often or receives additional phrase weight in the entered text. It does not prove that the term should be added more frequently. Repetition can make writing unnatural, and search engines do not reward mechanical keyword stuffing. Use the list to inspect topic consistency, find accidental repetition, compare drafts, or create an initial index for human review.
Important concepts expressed through synonyms may appear as separate entries. The tool does not merge related meanings such as “photo,” “image,” and “picture.” A subject-matter editor should make the final decision about which terms accurately describe the document.