Image Alt Text Suggester
Generate SEO-friendly image descriptions
Extract relevant keywords and phrases from any text or URL using advanced AI analysis. Perfect for SEO optimization, content analysis, and understanding topic relevance.
Start Extracting
Switch to the "Analyze URL" tab above and paste the full URL of any webpage you want to analyze. It can be your own site, a competitor page, or any public URL.
Our AI crawls the page, extracts the visible content, and runs natural language processing to identify every semantically important term and phrase.
Receive a ranked list of keywords with relevance scores, grouped by importance. Export the results as CSV to use in your SEO workflow.
Works with any public URL — your site, competitor sites, or any webpage you want to analyze. No login or signup required.
Don't have a URL? Paste any text directly — a draft blog post, a competitor's content, or a product description. The extractor identifies the most important terms and phrases regardless of source.
This is especially useful when you're writing new content and want to check your keyword coverage before publishing, or when you've copied text from a PDF, email, or document that isn't available as a public webpage.
You search for keywords manually, one by one. You type in a seed term, get a list of related keywords with search volumes, and build your strategy from there. It works, but it's slow and you might miss what's already working.
You give it a URL or text, and it tells you what keywords are already there and what's important. Instead of guessing which keywords matter, you see exactly which terms carry the most weight on any page — yours or a competitor's.
Run the extractor on a competitor's top-ranking page to see exactly which terms they're targeting. Then run it on your own page covering the same topic to spot keyword gaps. The difference between their keyword list and yours tells you precisely what to add to your content to compete.
Keyword extraction is not just an SEO exercise. It is a practical tool for anyone who needs to understand what a page is actually about — and whether it matches what you intended.
Extract keywords from your existing pages to see what you are actually ranking for versus what you intended to target. If you wrote a page about "email marketing automation" but the extractor surfaces "newsletter templates" as the dominant keyword, your content drifted from the original intent. You will not catch this by just reading the page — you need to see the data.
Paste a competitor URL and see their keyword focus instantly. You do not need to guess what terms they are targeting — the extractor tells you exactly which words carry the most weight on their page. Do this for their top 3-5 ranking pages on a topic and you will have a clear picture of their SEO strategy.
Run the extractor on both your page and a competitor page covering the same topic. Export both CSV files and compare. The keywords they have that you do not — those are your content gaps. This is faster and more precise than guessing which terms you are missing, and it costs nothing.
Before writing a new article, extract keywords from the top 3 pages currently ranking for your target term. The combined keyword list becomes your content brief — you will know which terms Google expects to see on a page about that topic. Write to cover those terms and you start with an advantage over content written from scratch without research.
Simple keyword counting tells you how often a word appears on a page. That is useful, but limited. If the word "the" appears 50 times, that does not make it an important keyword. And if "crawl budget" appears 3 times, you still do not know whether that term actually matters for the topic.
TF-IDF (Term Frequency-Inverse Document Frequency) solves this by measuring how important a word is relative to what other pages use. A term scores high when it appears frequently on your page but rarely across other pages in the comparison set. A term scores low when every page about the topic uses it — it is expected, not differentiating.
This tool uses TF-IDF, which is why it surfaces relevant keywords that basic frequency counters miss.
Example: If every page about "robots.txt" mentions "crawl budget," that term will not score high in TF-IDF — it is expected. But if your competitor mentions "sitemap priority" and you do not, that term will score high because it differentiates their content from the rest. That is a gap you can fill.
When you see a high TF-IDF score next to a keyword in the results, it means that term is doing real work to distinguish the content. Low scores mean the term is either too generic or too common across all pages on the topic.
Related tools: TF-IDF Analyzer · Keyword Density Checker · Blog Keyword Generator · Search Intent Analyzer
SEOJuice tracks your keywords automatically, monitors ranking changes, and identifies keyword gaps between you and your competitors. Get actionable insights across all your pages without manual extraction.
Try SEOJuice FreeYes, the keyword extractor is completely free to use with no login required. Paste any URL or text and get a ranked list of keywords with relevance scores instantly. There are no usage limits for basic extraction.
Yes, enter any public URL to extract keywords. This makes it ideal for competitive analysis — see exactly which terms your competitors are targeting on their top-ranking pages. Run the extractor on their page and then on yours to identify keyword gaps you can fill.
We analyze the page content using natural language processing (NLP) to identify the most semantically important terms. Unlike simple word-frequency counters, our AI understands contextual relevance — it knows which terms carry the most weight for the topic of the page, including long-tail phrases and semantic variations that basic tools miss.
Keyword extraction tells you what keywords are on a page — it analyzes existing content to surface the terms being targeted. Keyword research tells you what keywords you should target based on search volume, competition, and opportunity. Use extraction first to understand the current landscape of a page, then research to plan what to add or create next.
TF-IDF stands for Term Frequency-Inverse Document Frequency. It measures how important a word is to a specific document relative to a larger collection of documents. A word that appears often on your page but rarely on other pages about the same topic gets a high TF-IDF score — it is what makes your content unique. For SEO, this matters because it helps you identify which terms competitors use that you are missing, and which of your own terms actually differentiate your content from everything else ranking for the same query.
Yes. Paste any public URL into the extractor and you will get a ranked list of the keywords on that page. The practical workflow: extract keywords from a competitor page that ranks well for a term you care about, then extract keywords from your own page on the same topic. Export both as CSV and compare. The keywords they have that you do not are your content gaps — the terms you should consider adding to your page.
Focus on 1 primary keyword and 3-5 secondary keywords per page. Your primary keyword should be in the title, H1, and opening paragraph. Secondary keywords support the main topic and should appear naturally throughout the content. This tool helps you identify which ones actually matter — look at the keywords with the highest relevance scores in the "Primary Keywords" group. Trying to target 20+ keywords on a single page dilutes your focus and usually means the content lacks depth on any one topic.
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