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Word Frequency Analyzer

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Автоматический процесс

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Word Frequency Analyzer

Analyze the word frequency of any text — paste content and instantly see a ranked frequency table, word cloud visualization, text statistics, and character frequency breakdown. Supports n-gram analysis (bigrams, trigrams), stop word filtering, and export to CSV, JSON, or plain text. All processing happens in your browser.

Как использовать

Paste your text into the input area. Results update instantly as you type or change options. Toggle case sensitivity, stop word filtering, set minimum word length, and choose n-gram mode (words, bigrams, or trigrams). The frequency table shows rank, word, count, percentage, and a visual bar. The word cloud displays the most frequent words sized by count. Export results as CSV, JSON, or plain text.

Функции

Ranked Frequency Table — Word, count, percentage of total, and a proportional visual bar for each entry. Sortable by rank, word (alphabetical), or count.
Word Cloud — Visual word cloud with font size proportional to frequency. Color-coded palette for visual clarity, limited to top 100 words for performance.
N-gram Analysis — Analyze single words (unigrams), word pairs (bigrams), or word triples (trigrams). Bigrams and trigrams reveal common phrases and collocations.
Text Statistics — Total words, unique words, characters (with/without spaces), sentences, average word length, lexical diversity ratio, and reading level estimate.
Stop Word Filtering — Built-in list of 100+ common English stop words (the, a, an, is, are, etc.). Add custom stop words via comma-separated input.
Character Frequency — Collapsible letter frequency table showing count and percentage for each alphabetic character with visual bars.
Configurable Options — Case sensitivity toggle, minimum word length filter, top N results limit, and custom stop words.
Экспорт — Copy frequency data as CSV, JSON array, or plain text list. Ready for spreadsheets, scripts, or reports.

Варианты использования

Content writing: Check keyword density and repetition in blog posts or articles. SEO: Verify target keywords appear with appropriate frequency. Academic research: Analyze text corpora for linguistic patterns. Editing: Identify overused words to improve writing variety. Language learning: Find the most common words in a text to prioritize vocabulary study.

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What are stop words?

Stop words are the most common words in a language that usually carry little meaning on their own — words like ‘the,’ ‘a,’ ‘an,’ ‘is,’ ‘are,’ ‘in,’ ‘on,’ ‘at,’ ‘to,’ ‘for.’ They’re filtered out by default because they dominate any frequency analysis without providing useful insight. Disabling the stop word filter shows all words including these common ones, which can be useful for linguistic analysis or when working with non-English text.

What are bigrams and trigrams?

Bigrams are pairs of consecutive words (e.g., ‘machine learning,’ ‘New York’). Trigrams are triples of consecutive words (e.g., ‘natural language processing,’ ‘New York City’). N-gram analysis reveals common phrases and word combinations that single-word frequency misses. Bigrams are especially useful for identifying collocations — words that frequently appear together — and for SEO keyword phrase analysis.

What is lexical diversity?

Lexical diversity is the ratio of unique words to total words in a text. A score of 1.0 means every word is unique (no repetition); lower scores indicate more repetition. Academic writing typically has higher lexical diversity than casual conversation. It’s a useful metric for evaluating writing variety — if your lexical diversity is low, you may be overusing certain words and could benefit from using synonyms or restructuring sentences.

Is my text sent to a server?

No — all analysis happens in your browser using JavaScript. Your text never leaves your device. There are no API calls, no server-side processing, and no data storage. This makes it safe to analyze sensitive documents, private correspondence, or confidential content. The word cloud, frequency table, statistics, and exports are all generated entirely client-side.

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