What is it?
ExtractKeywords is a free online keyword extraction tool made for content creators, SEO specialists, marketers, bloggers, and researchers. It helps users quickly understand the main words and phrases inside a piece of text or on a webpage.
The tool can extract keywords from pasted text or from a public URL. It shows keyword frequency, density, and common two-word and three-word phrases. This makes it useful for checking whether content is focused on the right topics, finding repeated terms, and reviewing the keyword profile of a page before publishing or improving it.
ExtractKeywords does not require registration for its free text and URL extraction modes, which makes it fast and easy to use. Results can also be downloaded as a CSV file or copied to the clipboard.
How it works?
ExtractKeywords works in a simple way. The user either pastes text into the tool or enters a website URL. When a URL is used, the tool fetches the public page content, extracts the main text, and then runs its keyword analysis.
The tool counts how often each word appears and calculates keyword density. It also removes common stop words, such as basic filler words that do not add much SEO value. After that, it identifies single keywords, bigrams, and trigrams, so users can see both individual words and important phrase combinations.
Once the results are ready, users can review the keyword list, filter by one-word, two-word, or three-word phrases, copy the results, or export them as a CSV file.
Case Studies
An SEO specialist can use ExtractKeywords to analyze a competitor’s webpage. By entering the competitor’s URL, the specialist can see which keywords and phrases appear most often and compare them with their own content.
A blogger can paste a draft article before publishing. The tool helps confirm whether the main topic is clear and whether important phrases appear naturally throughout the text.
A digital marketer can review landing pages and campaign pages to make sure the copy supports the right search intent. The keyword frequency and density data can help spot weak or overused terms.
A researcher can use the tool to scan documents, articles, or reports and quickly identify the main themes. This saves time when reviewing long texts or comparing several pieces of content.
