Keyword Extractor

What Is Keyword Extraction?

Keyword extraction is the process of finding the words that carry the most meaning in a piece of text. Every article, product page, and email contains a mix of content words and function words. Content words such as "solar", "battery", or "installation" describe the topic, while function words such as "the", "and", or "of" only hold sentences together. A keyword extractor separates the two and ranks the content words so you can see what a text is really about.

This tool does that automatically. Paste any text, choose its language, and the extractor returns the most significant words with their frequency and density. You can then copy the results as a comma separated list, as hashtags, or as a ready to paste meta keywords tag.

How the Extractor Works

The extraction pipeline has four stages:

Tokenization: the text is lowercased and split into individual word tokens, including accented and Cyrillic characters.
Stopword removal: common function words are filtered out using a language-specific stopword list. English, Spanish, French, German, Italian, Dutch, Russian, Portuguese, and Swedish are supported.
Frequency counting: the remaining content words are counted. Words shorter than three characters and pure numbers are ignored so the results stay meaningful.
Ranking: words are sorted by how often they appear relative to the text length, and the top keywords are returned for the count you select.

Density is shown alongside each keyword. It is the keyword's share of all content words in the text, expressed as a percentage. A word that appears ten times in two hundred content words has a density of five percent.

Choosing the Right Language

Stopwords are language specific. "The" is noise in English, "la" is noise in Spanish and French, and "der" is noise in German. Selecting the correct language matters because a mismatched stopword list lets common words pollute the ranking. If you are unsure which language a text uses, run the Language Detector first, then come back and extract.

What You Can Do With the Results

SEO review: confirm that the keywords you intended to target actually dominate your draft, then cross-check their share with the Keyword Density Checker.
Social media: turn the extracted words into hashtags for posts on Instagram, X, or LinkedIn with one click.
Meta tags: copy the meta keywords tag and drop it into your HTML head, or generate a full set of tags with the Meta Tag Generator.
Topic research: compare two articles to see the terms each one emphasizes.
Tagging and filing: label documents, notes, or research papers by their core terms.
Editorial checks: spot when a draft drifts off topic because the expected keywords are missing from the top results.

Individual Words, Not Phrases

The extractor ranks single words after stopword removal, which keeps the method fast and language independent. Multi-word phrases can still be spotted by looking for keywords that appear next to each other in your original text. If you want phrase level analysis, with one, two, three, and four word sequences and their densities, use the Keyword Density Checker, which is built for that job.

How to Use This Tool

Paste your text into the input panel. At least 50 characters are needed, and 200 or more give the most reliable ranking.
Select the language of the text so the correct stopword list is applied.
Choose how many keywords to extract: 5 for a quick summary, 10 for standard analysis, or 15 to 20 for broader coverage.
Review the keyword table with counts and densities, then copy the list, hashtags, or meta tag with the export buttons.

Everything is computed as you type, so adjusting the language or keyword count updates the results instantly.

Privacy

The entire extraction runs in your browser using a local stopword library. Your text is never uploaded, stored, or logged, which makes the tool safe for unpublished drafts, client documents, and other confidential writing. Once the page has loaded, it even works offline.

Frequently Asked Questions

Is my text sent to a server?

No. Tokenization, stopword removal, and ranking all run in your browser. The text you paste stays in browser memory and never leaves your device.

Which languages are supported?

Nine languages: English, Spanish, French, German, Italian, Dutch, Russian, Portuguese, and Swedish. Each has its own stopword list so common words are filtered correctly.

What is the minimum text length?

At least 50 characters are required before any keywords are shown. For statistically meaningful rankings, aim for 200 characters or more.

Why are some common words missing from the results?

Those words are stopwords for the selected language, or they are shorter than three characters, or they are pure numbers. Filtering them keeps the ranking focused on topic-carrying terms.

Can I export the keywords as hashtags?

Yes. The Copy Hashtags button formats every extracted keyword with a leading hash symbol so you can paste them straight into a social media post.

How is the ranking calculated?

Keywords are ranked by term frequency after stopword removal. The density column shows each keyword's share of all content words in the text, so you can compare how strongly each term is represented.

Does it extract phrases as well as single words?

It extracts individual significant words. For multi-word phrase analysis with n-gram density tables, pair it with the Keyword Density Checker.

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