ToolkitBook
Search for multiple words in your text and see how often each appears. This tool counts occurrences, shows percentages, and highlights matches in your content. Writers check keyword density for SEO, editors spot overused words, and students analyze text patterns. The search handles case variations and matches whole words only. Paste your text, enter search terms separated by commas, and get instant frequency analysis.
Enter words to search, paste your text, and click "Count Words" to see how often each term appears. All processing runs locally in your browser.
Type words separated by commas in the input field and press Enter. Each word becomes a searchable tag displayed below the input. For example, typing "marketing, strategy, growth" creates three separate search terms. Click the × button on any tag to remove it from your search list.
The tool automatically filters non-letter characters from search words. If you paste "hello123" or "test!!!", it searches for "hello" and "test" respectively. This prevents errors from accidental punctuation or numbers in your input.
Paste or type any text into the main text area. The tool handles texts of any length, from short paragraphs to long articles. Your text formatting stays intact—line breaks, paragraphs, and spacing remain preserved. The highlighted results section shows your original content with matches marked in red.
Case-Insensitive: Searches ignore letter case. "Hello," "hello," and "HELLO" all match the same word. This captures all variations without requiring multiple search terms.
Whole Word Matching: The tool matches complete words only. Searching for "the" will not match "there," "them," or "other." Word boundaries are defined by spaces, punctuation, and line breaks. This prevents false positives that would skew your counts.
Punctuation Handling: Words adjacent to punctuation still match correctly. "Hello," "hello." and "hello!" all count as occurrences of "hello." The tool recognizes punctuation as word boundaries, not part of the word itself.
Total Matches: Shows the combined count of all search words. If you searched for three words appearing 10, 15, and 20 times, the total shows 45 matches.
Results Table: Lists each search word with its count and percentage. The count shows absolute occurrences. The percentage shows what portion of total matches that word represents. If "marketing" appears 30 times out of 100 total matches, it shows 30%.
Distribution Bars: Each word has a visual bar showing relative frequency. Longer bars indicate more frequent words. This visual representation makes patterns immediately apparent without comparing numbers directly.
The highlighted text section shows your original content with matched words marked in red. This visual context helps you see where words appear and identify usage patterns. You might notice clustering in specific sections or even distribution throughout the text.
For writers and editors, highlights show exactly where to make changes. If a word appears too frequently, the marks guide you to each occurrence for revision. This practical application helps improve writing variety and reduces repetition.
SEO Keyword Analysis: Content marketers check keyword density to optimize for search engines. Enter target keywords to see how often they appear. SEO best practices suggest 1-3% keyword density for primary terms. If your 1,000-word article uses a keyword 20 times, that is 2% density. The percentage column helps calculate this quickly.
Content Editing: Editors identify overused words that weaken writing. Common culprits include "very," "really," "just," and "that." Search for these words to find opportunities for stronger alternatives. The highlighted text shows each instance in context, making revision efficient.
Academic Writing: Students analyze texts for assignments or check their own writing for repetition. Literature students might count theme-related words in novels. Writing students verify they use varied vocabulary.
Translation Quality Control: Translators check whether key terms appear consistently in their work. If a technical term should appear five times based on the source, the tool verifies the target text matches.
Missing Matches: If expected matches do not appear, check spelling in your search words. Verify the word actually exists in your text. Remember that whole-word matching prevents partial matches—"analysis" will not match "analytical." Add all relevant variations to your search list.
Unexpected High Counts: Sometimes counts seem higher than expected. This often results from common words appearing naturally. "The" might appear dozens of times in normal writing. Consider whether high counts reflect genuine overuse or natural language patterns.
Comparative Analysis: Run the same search words on different texts to compare usage. This reveals how different authors or sources treat the same vocabulary. Content strategists might compare competitor articles using identical keyword lists.
All processing happens locally in your browser. Your text never leaves your device. This matters for sensitive documents, proprietary content, or personal writing. No data gets transmitted to servers or stored anywhere.