Free AI Keyword Extractor

The Keyword Extractor is a free AI-powered tool that identifies and extracts the most important keywords and phrases from any text for SEO and content analysis.

Yes, it is free to use with no registration required.

The Keyword Extractor uses AI to analyze word frequency, relevance, and context to rank keywords by importance in your content.

Absolutely. The AI Keyword Extractor processes everything client-side in your browser. No data is uploaded to or stored on any server. Your content remains private on your device at all times.

Yes, the AI Keyword Extractor is fully responsive and works on smartphones and tablets. You can use it on any device with a modern web browser -- no app download required.

No account or registration is needed. Simply open the AI Keyword Extractor in your browser and start using it immediately. There are no sign-up walls or usage restrictions.

Simply enter your input in the provided field, adjust any settings to your preference, and the tool will process it instantly. You can then copy the result to your clipboard or download it.

The AI Keyword Extractor works in all modern browsers including Chrome, Firefox, Safari, Edge, and Opera. For the best experience, use the latest version of your preferred browser.

These terms describe how many words make up each extracted phrase. A unigram is a single word, a bigram is a two-word phrase, and a trigram is a three-word phrase. The extractor separates results into all three so you can target different kinds of search queries. Unigrams are your core head terms and broad topic words, but they are usually competitive. Bigrams are more specific and often match the natural shape of how people actually search. Trigrams are long-tail phrases with the highest specificity and typically the least competition, which makes them the easiest to rank for. Because a recurring multi-word phrase signals a more precise topic, the scoring gives bigrams and trigrams a small bonus over single words. Paste your text and filter by n-gram type to focus on the phrase length that fits your goal.

TF-IDF stands for Term Frequency-Inverse Document Frequency, and it weighs words more intelligently than a plain count. Term frequency rewards words that appear often in your text, while inverse document frequency discounts words that are common across all writing, like "time" or "people." The result is that genuinely distinctive terms rise to the top while filler sinks, even if a common word technically appears more times. Raw frequency alone would push generic vocabulary up the list and bury the words that actually define your topic. This tool blends TF-IDF with frequency and a phrase-length bonus into a single 0-100 importance score, so the ranking reflects meaning rather than repetition. You can also sort the table by TF-IDF directly to see which terms are most uniquely characteristic of your content. Paste a draft to see the weighted ranking in action.

Keyword density is the percentage of your total words that a given keyword represents, and this tool calculates it for every extracted term. As a rough guideline, a primary keyword density between about 1% and 3% reads as natural to both readers and search engines. Much higher than that risks keyword stuffing, where the repetition feels forced and can hurt rankings rather than help them. Much lower may signal that your page does not emphasize its target topic strongly enough. The built-in SEO recommendations flag these cases automatically, warning you when a top term exceeds roughly 3% and suggesting you ease off, or noting when an important term is underused. They also advise where to place key terms, such as the title, H1, meta description, and subheadings. Paste your draft to check whether your density sits in the healthy range.

Long-tail keywords are longer, more specific phrases that usually carry lower search competition and clearer intent. This extractor surfaces them in a dedicated long-tail panel that pulls out your strongest two- and three-word phrases ranked by importance score, so you do not have to scan the full table to spot them. These multi-word phrases reveal the precise sub-topics your text already covers, which often makes them realistic ranking opportunities you can reinforce with a few extra mentions, a subheading, or supporting content. Because trigrams describe a narrower topic than single words, they tend to map directly onto real search queries. You can also set a minimum frequency to filter out one-off phrases and keep only the long-tail terms that appear consistently. Paste an article and open the long-tail panel to see which specific phrases your content is genuinely about.

The tool includes an optional competitor comparison that helps you spot content gaps quickly. Paste your own text first to extract its keywords, then paste a rival page or article into the competitor field. The tool then shows three things: keywords you and the competitor both cover, keywords that are uniquely yours, and the terms they emphasize that your content misses entirely. That last group is the most actionable, because it reveals topics your competitor is targeting that you have not addressed yet. The shared list confirms you are competing on the same core themes, while your unique keywords highlight where you already differentiate. This reverse-engineering approach is a fast way to understand what a top-ranking page emphasizes before you brief a writer or revise a draft. Everything runs in your browser, so both texts stay private. Paste your content and a competitor's to find the gaps.