Find Duplicate Words

The tool analyzes word frequency in your text and identifies words that appear multiple times based on your criteria. Set a minimum frequency threshold (e.g., ≥2 times) and the tool lists all words meeting that threshold, sorted by frequency, alphabetically, or by word length. Each duplicate shows its count and percentage of total words. Perfect for identifying repetitive writing, keyword stuffing, or overused terms in essays, articles, SEO content, or manuscripts.

Ignore Common Words filters out 100+ frequently used English words (articles, prepositions, conjunctions) like 'the', 'and', 'is', 'of', 'to', 'in', 'a', 'for', etc. These words naturally appear many times in any text but aren't problematic repetitions. With this filter enabled (recommended), you see meaningful duplicates—content words like nouns, verbs, adjectives that might indicate overuse. Disable it if you're analyzing word frequency for linguistic research or want to see absolutely all repeats.

Frequency (default): Lists duplicates from most to least repeated—identifies your most overused words first. Alphabetical (A-Z): Sorts words alphabetically—useful for scanning specific terms or creating organized reports. Length: Shows longest words first—helps spot overused complex terminology or jargon. Example: 'implementation' appearing 5 times might be more problematic than 'said' appearing 8 times, so length sort highlights verbose repetition. Switch between modes to analyze from different angles.

Total Words: Your entire word count (including all words, not just duplicates). Duplicates: Number of unique words that meet your frequency threshold (distinct repeated terms). Avg Freq: Average number of times each duplicate appears. Dup Ratio: Percentage of total words that are duplicates—high ratios (>30%) suggest heavy repetition. Example stats: 500 total words, 12 duplicates, avg frequency 4.2, ratio 10% means 12 different words appear 4+ times each, accounting for 10% of your text.

Min Frequency sets the threshold for what counts as a 'duplicate.' Set to 2: Shows words appearing 2+ times (catches all repetitions). Set to 5: Only shows words appearing 5+ times (highlights severe overuse). Set to 10: Extreme repetition only. Start with 2-3 for general writing review. Use 5+ when analyzing long documents where some natural repetition is expected. Adjust based on document length: short emails might flag 2+ occurrences, while 10,000-word articles might use 5+.

Min Word Length ignores words shorter than your specified length (1-10 characters). Set to 3 (recommended): Skips 1-2 letter words like 'a', 'I', 'to', 'is', 'in'—these are grammatical necessities, not problematic repetitions. Set to 5: Focus on longer content words—nouns, verbs, adjectives that carry meaning. Set to 1: See absolutely everything, including single letters (rarely useful). Combine with 'Ignore Common Words' for optimal filtering—length catches short words, common words filter catches grammatical long words.

Percentage shows what portion of your total text each duplicate word represents. Example: 'very' appearing 10 times in a 200-word text = 5.0% (10/200). This reveals keyword density problems: if one word is 8-10% of your text, that's severe overuse. SEO best practice: no single keyword should exceed 2-3%. For natural writing, most words should be <1%. Percentages help prioritize editing—replace the 5% word first, worry about 0.5% words later.

Use Case Sensitive when: (1) Analyzing proper nouns vs common nouns ('Apple' company vs 'apple' fruit should be counted separately), (2) Programming/code analysis where 'String' and 'string' are different, (3) Acronyms vs regular words ('IT' department vs 'it' pronoun). Leave it OFF (default) for general writing—'The', 'THE', and 'the' are the same word and should be counted together. Case sensitive mode splits counts and can hide true repetition patterns.

Writing Quality: Identify overused words in essays, articles, or books—replace repetitive terms with synonyms for better flow. SEO Analysis: Detect keyword stuffing (>3% density flags) that could penalize search rankings. Academic Writing: Ensure varied vocabulary in papers and theses. Editing: Find crutch words writers overuse unconsciously ('just', 'very', 'really'). Data Cleaning: Spot repeated entries in lists or datasets. Translation Quality: Check if translations reuse the same word too often instead of using appropriate synonyms.

100% private. All analysis happens entirely in your browser using JavaScript. Your text never leaves your device, isn't uploaded to servers, isn't logged, and isn't stored anywhere. Even file uploads are processed locally—no network transmission occurs. Verify by checking your browser's Network tab. Essential for processing confidential documents, unpublished manuscripts, proprietary business content, academic papers before submission, or any sensitive writing requiring complete privacy.