What is a Unique Words Finder?

A Unique Words Finder is a text analysis utility that processes a block of text and extracts a list of all the words that appear, showing each word only once. It essentially creates a vocabulary list for your document. Our tool also provides a count of how many unique words were found, helping you gauge the lexical diversity of the text.

What Problem Does This Tool Solve?

When analyzing a piece of writing, it can be useful to know the breadth of the vocabulary used. Are you repeating the same words too often? How many different words does this author use? Manually creating such a list from a long text would be extremely difficult and time-consuming. This tool automates the process, instantly giving you a clean, sorted list of all the unique words, which is invaluable for writers, editors, and students.

How to Use Our Unique Words Finder?

1. Paste Your Text: Copy your text and paste it into the input box.
2. Choose Options: Use the checkbox to decide if the analysis should be case-sensitive (treating 'Word' and 'word' as different).
3. See the Result: The tool will immediately display an alphabetically sorted list of all the unique words found, along with a total count.
4. Copy the List: Click the "Copy List" button to use your list of unique words.

Frequently Asked Questions (FAQ)

1. How does the tool define a "word"?

The tool considers any sequence of letters as a word. It automatically ignores punctuation and numbers during the analysis.

2. What does "case-sensitive" mean?

If case-sensitive is checked, "The" and "the" will be counted as two separate unique words. If it's unchecked, they will both be treated as "the" and counted as one unique word.

3. Can I see the frequency of each unique word?

This tool is designed to only list the unique words. For frequency counting, you can use our Letter Frequency Counter or our Word Counter which shows top keyword density.

4. Is my text data private?

Yes. All processing happens securely in your browser. Your text is never sent to our servers.