Why Text Statistics Matter
Whether you're a writer tracking word counts, a developer analyzing log files, or a data analyst looking for patterns, text statistics provide crucial insights. Our tool goes beyond simple word counting to give you a complete picture of your text content.
We built this because existing tools either lacked features we needed (like duplicate detection) or required uploading sensitive data to servers. Everything runs in your browser – your text never leaves your device.
What We Measure
- Lines: Total, unique, and duplicate line counts
- Words: Total and unique word counts with averages
- Characters: With and without spaces
- Structure: Paragraphs and sentences
- Duplicates: Identify repeated lines with occurrence counts
- Word Frequency: Most common words with percentages
Use Cases
Content Writing
Track your word count for blog posts, articles, or essays. Many publications have specific word count requirements – our tool helps you hit those targets. The word frequency analysis also helps identify overused words that might make your writing feel repetitive.
Data Cleaning
Working with CSV files, log files, or exported data? Use the duplicate detection to find repeated entries. This is especially useful before importing data into databases or performing analysis where duplicates would skew results.
SEO Analysis
Word frequency analysis helps identify keyword density in your content. See which terms appear most often and ensure your target keywords are appropriately distributed throughout your text.
Code Review
Analyze code files to find repeated lines that might indicate copy-paste issues or opportunities for refactoring. Long duplicate strings of code often signal violations of the DRY (Don't Repeat Yourself) principle.
Understanding the Results
Line Statistics
"Total Lines" counts all non-empty lines. "Unique Lines" shows how many distinct lines exist. The difference between these numbers tells you how much repetition exists in your data. High repetition might indicate data quality issues or intentional patterns.
Word Analysis
The ratio of unique words to total words indicates vocabulary diversity. Academic writing typically has higher unique word ratios than casual content. The "Average Words per Line" metric helps identify lines that might be too long or too short for your format.
Character Counts
Character counts matter for platforms with limits (like Twitter/X's 280 characters or meta descriptions). We provide both total characters and characters excluding spaces, since different platforms count differently.
Options Explained
Case Sensitivity
When enabled, "Hello" and "hello" are counted as different words or lines. Disable for most text analysis. Enable when exact matching matters, like analyzing code or data where case differences are significant.
Trim Whitespace
Removes leading and trailing spaces from each line before analysis. This prevents " Hello" and "Hello" from being counted as different lines. Usually you want this enabled unless whitespace is meaningful in your data.
Found duplicates you need to remove? Use our Remove Duplicate Lines tool to clean up your data with options for keeping first or last occurrences.
Frequently Asked Questions
How accurate is the word count?
Our word counter uses a comprehensive regex pattern that matches words containing letters, numbers, and apostrophes. It handles contractions (like 'don't') as single words and excludes pure punctuation. This matches how most word processors count words.
What counts as a duplicate line?
A line is considered duplicate if it appears more than once in your text. You can choose case-sensitive or case-insensitive matching. With case-insensitive mode, 'Hello' and 'hello' are treated as the same line.
How is word frequency calculated?
We count every occurrence of each word in your text, then calculate the percentage based on total word count. The results are sorted by frequency, showing you the most common words first.
Can I analyze files larger than 1GB?
Yes! Our tool processes files in 4MB chunks, so memory usage stays manageable regardless of file size. Processing time scales linearly with file size – expect roughly 1 minute per gigabyte depending on your device.
How are paragraphs counted?
Paragraphs are detected by empty line separators. Two consecutive newlines indicate a paragraph break. This follows standard text formatting conventions used in most documents.