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Extracted Keywords

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All processing happens in your browser. No text is ever sent to any server.

Usage Examples

Article SEO

Extract top keywords from your blog post or article to optimize your SEO strategy and meta tags.

Content Research

Analyze competitor content to discover the main topics and phrases they focus on.

Text Summarization

Quickly understand the key themes of a long document by extracting its most important keywords.

Features

TF-IDF Algorithm

Uses Term Frequency-Inverse Document Frequency to rank the most relevant keywords in your text

Stop Word Filtering

Automatically removes common words (the, a, is...) in multiple languages so real keywords stand out

Bigram Support

Optionally extract 2-word key phrases like "machine learning" or "social media" for richer analysis

CSV Export

Download keyword results as a CSV file with keyword, frequency and score columns

How to Use?

1

Paste Your Text

Type or paste any text — an article, essay, web page content — into the input area.

2

Adjust Settings

Set minimum word length, maximum number of keywords, and toggle stop word filtering or bigrams.

3

Extract & Export

Click Extract Keywords to see results sorted by TF-IDF score. Copy the list or export as CSV.

Frequently Asked Questions

TF-IDF stands for Term Frequency-Inverse Document Frequency. It measures how important a word is by balancing how often it appears against how common it is overall. Rare but frequent words score highest.

Stop words are very common words (like "the", "a", "is") that carry little meaning on their own. Filtering them out helps surface the truly meaningful keywords in your text.

Bigrams are two consecutive words treated as a single phrase, such as "machine learning" or "open source". Enabling bigrams can reveal important multi-word concepts that single words miss.

No. The entire extraction runs locally in your browser using JavaScript. Your text never leaves your device.

What is Keyword Extractor?

Keyword Extractor is a free browser-based tool that uses the TF-IDF (Term Frequency-Inverse Document Frequency) algorithm to identify the most significant words and phrases in any piece of text. Simply paste your content and get a ranked list of keywords with frequency counts and relevance scores instantly — no registration, no server uploads.

Why Extract Keywords?

Keyword extraction helps you understand what a text is really about. For SEO professionals it reveals the terms to target in meta tags and headings. For content writers it highlights topics worth expanding. For researchers it provides a fast way to summarise long documents. The TF-IDF scoring ensures common filler words are downweighted so the genuinely important terms rise to the top.

Security and Privacy

Your data security is our priority

Local Processing

All processing happens in your browser

No Data Transfer

Your data is not sent to our servers

No Data Storage

No data is stored or shared

SSL Encryption

SSL encryption for secure connection

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