SEO & Content

Entity & Keyword Extractor

Instantly extract potential entities (brands, people, place names), the most frequent keywords, and 2-3 word phrases (n-grams) from your text for free. It works entirely in your browser using heuristic frequency analysis.

Entity & Keyword Extractor
This tool frequency-based heuristics It performs analysis. An AI-powered external API is required for true entity recognition (NER); the results here are approximate.
The results update automatically as you enter text.
Entity Candidates
# Term Frequency %
Keywords
# Word Frequency Intensity
N-gram Phrases (2–3 words)
# Heap Frequency %
Information

About the Entity & Keyword Extractor

Entity and keyword extractionSEO strategies, content analysis, and competitive research are critical processes. Search engines closely examine the entities (people, brands, places, organizations) and frequently repeated keywords in the text to determine the main topic of a page. This free tool instantly reveals potential entities and high-density keywords in your text.

The tool offers three different analysis layers: In the first layer sequences of one or more words beginning with a capital letter By scanning, it lists potential entities that could be brand names, personal names, or place names, and their frequency within the text. The second layer is in Turkish. stop-word list After removing conjunctions, pronouns, prepositions, etc., the frequency and percentage density of the remaining meaningful words are calculated. In the third layer, 2–3 word phrases (n-grams) By extracting the words, the dominant word combinations in the text are shown.

This analysis can be used as a quick preliminary assessment tool to review blog posts, product descriptions, press releases, or competitor site content. The entire process... entirely in your browser This happens; your text is not sent to any server. Important note: AI-based NLP services are required for true and highly accurate entity recognition (NER); this tool is based on frequency and capitalization patterns. a heuristic approach It presents a list of names, and therefore some names may be omitted or misclassified.

How to use it?

Step by step

  1. What you want to analyze text Paste it into the text box (at least 50 words recommended).
  2. Analyze Click the button or wait for automatic updates as you enter text.
  3. Entity Candidates Examine the table for phrases that could be brand, personal, or place names beginning with a capital letter, and their frequency.
  4. Keywords View the table showing the most frequent words and their frequency percentages after removing Turkish stop words.
  5. N-gram Clusters Examine the table to find the 2–3 word phrases that appear most frequently in the text; these phrases may provide opportunities for long-tail keywords.
FAQ

Frequently Asked Questions

In this tool, potential entities are sequences of 1-4 words beginning with a capital letter, not starting with a Turkish sentence. Brand names, personal names, and place names often fit this pattern. However, this is a heuristic approach; it lacks contextual understanding like true NLP/NER systems, so some candidates may be incorrect or incomplete.

Stop words are frequently used but often dysfunctional functional words like 'and', 'one', 'this', 'also', and 'with'. In keyword analysis, these stop words are removed, bringing to the forefront words that are truly meaningful and represent the content.

N-grams are sequences of two or three words that appear side-by-side in text. Frequently repeated n-grams indicate which combinations of concepts the page focuses on and can reveal long-tail keyword opportunities. For example, phrases like 'web hosting' or 'domain name prices'.

Professional NLP and entity recognition (NER) systems use deep learning models and extensive language databases to make sense of entities within context and classify them with much higher accuracy (such as people/places/organizations). This tool, however, offers a heuristic approach based on capitalization patterns and frequency statistics using pure JavaScript; it works quickly and independently, but does not guarantee accuracy.

Yes. All analysis takes place entirely in your browser (client-side); the text you enter is not sent to any server, stored, or shared with third parties.
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