Word Frequency Analyzer
Führung
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.
Anwendung
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.
Merkmale
- 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.
- Exportieren — Copy frequency data as CSV, JSON array, or plain text list. Ready for spreadsheets, scripts, or reports.
Anwendungsfälle
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.
What are stop words?
What are bigrams and trigrams?
What is lexical diversity?
Is my text sent to a server?
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