Count the number of lines in your text instantly, along with word count, character count, and characters excluding spaces.
Paste your text into the input field, and the tool automatically analyzes it to calculate four basic text statistics: line count, word count, character count, and character count without spaces. It works with plain text, multiline documents, notes, code snippets, lists, and other text-based content.
Unlike tools that modify or clean text, Count Lines is a measurement tool. It doesn’t change your content—it simply reads the text you provide and reports accurate counts that help you verify document length and formatting.
A Count Lines tool measures how many lines are present in a block of text and displays additional text statistics.
After you paste your content, the tool calculates:
The content itself remains unchanged. The tool only analyzes the text and returns numerical statistics, making it useful for writers, developers, editors, students, and anyone who needs to verify document size or formatting.
Input:
This is the first line.
This is the second line.
This is the third line.
This is the fourth line.
Output:
Lines: 4
Words: 20
Characters: 95
Characters (without spaces): 76
Paste the Final Version
For the most accurate statistics, count your text after you’ve finished editing and formatting.
Check Both Line and Word Counts
A document can meet a word requirement but exceed a line limit, or vice versa. Reviewing both values helps avoid formatting issues.
Use Character Counts for Platform Limits
Many forms, databases, and publishing platforms have character restrictions. The character totals make it easy to confirm whether your content fits.
Compare Characters With and Without Spaces
Viewing both values provides a clearer picture of the actual text content, especially when working with formatted documents that contain extra spacing.
Many websites, documentation platforms, and publishing systems have formatting requirements beyond word count. Writers can quickly verify the number of lines alongside characters and words before submitting articles, blog posts, or documentation.
Developers often want a quick overview of source files while working on scripts, configuration files, or documentation. Although this tool does not calculate code quality or complexity, it provides basic statistics such as the total number of lines and characters for any pasted code.
Editors frequently receive manuscripts, reports, and articles from multiple contributors. Checking line count, word count, and character totals provides a quick overview before beginning the editing process.
Some academic submissions specify limits based on document length or formatting. Students can verify the size of essays, reports, and assignments before uploading them to learning platforms.
Instruction manuals, release notes, and technical documentation often require consistent formatting. This tool helps technical writers monitor document size while ensuring updates remain within internal formatting guidelines.
Although both tools analyze text, they serve different purposes.
Count Lines measures your content and reports statistics such as the number of lines, words, characters, and characters without spaces.
Duplicate Line Finder examines the content itself to identify repeated lines. It helps detect duplicates rather than measuring document length.
If you simply need text statistics, Count Lines is the appropriate tool.
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The tool reports four statistics:
Total lines
Total words
Total characters
Characters without spaces
No. It only analyzes your content and displays the calculated statistics.
Yes. You can paste short notes, articles, reports, source code, documentation, or other large text blocks to calculate their statistics.
Yes. In addition to line count, it also displays the total number of words.
Character count includes every character, including spaces.Characters without spaces ignores spaces and counts only the remaining characters.
No. Duplicate Line Finder searches for repeated lines, while Count Lines simply measures the content and reports numerical statistics.
Remove symbols, special characters, and non-alphanumeric text instantly. Clean your text by removing @, #, $, %, and custom symbols
Example:
Before: Hello @World! #2024 $100%
After: Hello World 2024 100
Remove all punctuation marks including periods, commas, exclamation marks, question marks, quotes, and brackets. Free online tool.
Example:
Before: Hello, world! How are you? "I'm fine."
After: Hello world How are you Im fine
Remove all emojis, emoticons, and special Unicode symbols from your text. Clean social media posts and messages instantly.
Example:
Before: I love pizza 🍕! That's awesome 😊👍
After: I love pizza ! That's awesome
Remove all spaces, tabs, and whitespace characters from your text. Perfect for creating continuous strings or compact text.
Example:
Before: Hello World How Are You
After: HelloWorldHowAreYou
Remove empty lines and extra line breaks from your text. Clean up messy content, code, or formatted documents instantly.
Example:
Before: Line 1\n\n\nLine 2\n\nLine 3
After: Line 1\nLine 2\nLine 3
Remove page breaks, form feeds, and unwanted page separation characters from documents and text files.
Example:
Before: Page 1 content\fPage 2 content\fPage 3
After: Page 1 contentPage 2 contentPage 3
Remove extra spaces, multiple spaces, and normalize whitespace. Convert double spaces to single spaces instantly.
Example:
Before: Hello World How Are You
After: Hello World How Are You
Remove vowels (A, E, I, O, U) from text. Option to keep or remove Y. Perfect for creating consonant-only strings.
Example:
Before: Hello World How Are You
After: Hll Wrld Hw r Y
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Remove custom prefixes from the beginning of your text. Perfect for removing URLs, codes, or repetitive text patterns.
Example:
Before: https://example.com/page
After: example.com/page
Remove custom suffixes from the end of your text. Perfect for removing file extensions, trailing codes, or repetitive endings.
Example:
Before: document_final_v2.html
After: document_final_v2
Convert fancy Unicode fonts, bold italic text, and mathematical symbols to normal ASCII text. Fix messy formatted content.
Example:
Before: 𝓗𝓮𝓵𝓵𝓸 𝓦𝓸𝓻𝓵𝓭
After: Hello World
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Instantly break down long passages or lists of text using custom delimiters like commas, spaces, or slashes.
Before: apple, banana, orange, grape
After: apple banana orange grape
Automatically divide continuous walls of text into clean, readable paragraphs based on sentence count or line breaks.
Before: This is line one. This is line two. This is line three. This is line four.
After: This is line one. This is line two.
This is line three. This is line four.
Format your text side-by-side into two balanced columns for easier comparison, coding, or visual layout.
Before: Item 1, Item 2, Item 3, Item 4
After: Item 1 | Item 3 Item 2 | Item 4
Quickly calculate the exact total number of lines, filled lines, or empty spaces in your document.
Before: Header Line Data Row 1 Data Row 2
After: Total Lines: 3 (Empty Lines: 0)
Detect and isolate repeated words, phrases, or lines in your dataset to clean up messy inputs.
Before: apple, banana, apple, orange, banana
After: Found 2 Duplicates: "apple" (x2), "banana" (x2)
Filter out specific words, lines containing key search terms, or unwanted characters instantly.
Before: User_1 (Active), User_2 (Inactive), User_3 (Active)
After (Filtering “Inactive”): User_1 (Active), User_3 (Active)
Highlight differences, additions, and deletions between two text blocks side-by-side.
Before:
Text A: The quick brown fox jumps.
Text B: The fast brown fox jumps.
After: Difference detected at position 2: [quick] ➔ [fast]
Organize lists of words alphabetically (A–Z), reverse alphabetically (Z–A), or by length in one click.
Before: banana, apple, cherry, date
After (A–Z): apple, banana, cherry, date
Randomize the order of words in your sentences or lists to build unique combinations and datasets.
Before: First Second Third Fourth Fifth
After: Third Fifth First Fourth Second
Count and catalog every emoji in your text block, complete with individual frequency breakdowns.
Before: Hello! 👋 Thanks for visiting! 🎉 Keep smiling! 😊🎉
After: Total Emojis: 4 | Breakdown: 🎉 (x2), 👋 (x1), 😊 (x1)