Keyword Extractor
Automatically identify the most important keywords and tags from any block of text
| Keyword | Frequency | Density |
|---|
Find out which words your text leans on most
Before you publish a blog post, product description or landing page, it helps to know which terms the text actually repeats. The Keyword Extractor reads a block of text, counts how often each meaningful word appears, and shows the top results as tags and as a density table. It is useful for checking that your target term shows up, and for spotting words you are overusing.
How to extract keywords
- Paste your article, blog post or description into the Your Content box.
- Click Extract Keywords.
- Read the Top SEO Keywords (Tags) section, where each tag carries a small multiplier such as x4 showing its number of occurrences.
- Check the Keyword Density Analysis table, which lists each keyword with its Frequency and its Density percentage.
- Press Copy All Tags (Comma Separated) to copy the keywords as a plain list for a tags field or a spreadsheet.
How the counting works
The text is lowercased, punctuation is stripped, and only words longer than three letters are considered. A short list of filler words (this, that, with, from, about, could, would and a few more) is ignored. The most frequent words that remain, up to 15 in total, are shown in order. Density is the word's count divided by the number of words longer than three letters, expressed as a percentage to one decimal place.
Where it helps
- Checking a draft blog post to confirm the main topic word is the most repeated term rather than something incidental.
- Pulling candidate tags from a long product description for an online store.
- Comparing a competitor's copy pasted in from their page to see which terms dominate it.
- Editing your own text: a word at the top of the list that should not be there is a hint to rewrite.
Limits worth knowing
This is a frequency counter, not a language model. It only reports single words, never phrases, so a topic like email marketing appears as two separate entries. Because the ignore list is short, everyday words such as have, will or your can appear in the results and should be skipped by eye. Words with three letters or fewer, including acronyms like SEO, are excluded. Numbers and words joined by underscores are treated as words. Editing the text hides the previous results until you run the extraction again. All processing happens in your browser.
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