Find Unique Words

Extract a clean, duplicate-free list of vocabulary from your text. Analyze lexical diversity.

Unique List (0)
Cleaned vocabulary list will appear here...

Vocabulary Stats

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Unique
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Lexical Density0%

Higher density means richer vocabulary.

Filters & Format

Find Unique Words – Free Vocabulary Extractor

The Find Unique Words tool is a digital sieve for your content. It filters out all repetition and noise, leaving you with a crystal-clear list of the distinct vocabulary used in your text. Whether you're building a glossary, analyzing diction richness, or simply cleaning up a messy data set, this tool does it in milliseconds.

Extraction Features

Instant Deduping

Paste a chaotic mix of sentences and get back a neat, ordered list of words. No manual editing required.

Smart Sorting

Organize list alphabetically, by length, or even by appearance order to track topic introduction.

Lexical Stats

See your "Lexical Density" score. Are you repeating yourself, or using a wide vocabulary?

Flexible Output

Format for any use case: New lines for Excel, Commas for tags, Pipes for coding.

Stop Word Filter

Exclude "the", "a", "is" to create a pure list of subject-matter keywords.

File Upload

Upload entire books or documents to extract their full vocabulary list instantly.

Why extract unique words?

  • Language Learning: Create a vocabulary list of unknown words from a text.
  • Data Cleaning: Extract unique IDs or usernames from a messy log file.
  • Writing Analysis: Assess the breadth of your vocabulary (Lexical Diversity).
  • SEO: Generate a list of all unique keywords used on a page.

Frequently Asked Questions

Is this unique words tool free?

Yes, 100% free with no usage limits, registration, or hidden costs. Extract unique words from as much text as you need.

Is my text data private and secure?

Absolutely. All processing happens in your browser using JavaScript. Your text never leaves your device—perfect for analyzing confidential documents or unpublished work.

Does it remove duplicate words?

Yes, that is the core function. If 'apple' appears 50 times in your text, it will appear only once in the final unique word list.

What is Lexical Density?

Lexical Density is the percentage of unique words in your text (Unique / Total). A higher percentage indicates a richer, more varied vocabulary. Academic writing typically has higher lexical density than casual conversation.

Can I filter out common words like 'the' and 'and'?

Yes! Enable 'Exclude Stop Words' to remove common filler words. This leaves you with content words (nouns, verbs, adjectives) that carry meaning.

How can I sort the unique word list?

You can sort alphabetically (A-Z), reverse alphabetically (Z-A), by word length, or keep words in the order they first appeared in the text.

What export formats are available?

Copy the list as separate lines (for Excel), comma-separated (for tags), pipe-separated (|), or space-separated. Choose the format that matches your destination.

Can I upload files instead of pasting text?

Yes, you can upload .txt or .md files directly. The tool processes them instantly—useful for extracting vocabulary from entire books or manuscripts.

How is this different from Find Top Words?

This tool creates a LIST of unique words (no counts). 'Find Top Words' shows frequency and percentage for each word. Use this for vocabulary lists; use Top Words for density analysis.

Can I analyze text in other languages?

Yes! The tool extracts any Unicode words. It works with French, Spanish, German, and other languages. Stop word filtering is optimized for English but can be disabled for other languages.

Is there a word count limit?

No artificial limit. Since processing happens in your browser, you can analyze entire novels. Modern devices handle millions of words efficiently.

What are common use cases for extracting unique words?

Language learning (vocabulary lists), glossary creation, SEO keyword extraction, data cleaning (unique IDs from logs), academic analysis (lexical diversity), and creating word clouds or tag lists.