Remove Punctuation
Remove all punctuation marks from text.
How to Use Remove Punctuation
- 1Paste your text
- 2Punctuation is removed in real time
- 3Copy or download the cleaned result
About Remove Punctuation
Remove Punctuation strips all punctuation marks and symbols from your text, leaving only letters, digits, and whitespace. This is a standard preprocessing step in Natural Language Processing (NLP), machine learning pipelines, and text analysis workflows where punctuation is noise that should be removed before tokenization or frequency analysis.
The tool removes all characters that are not alphanumeric or whitespace — including periods, commas, exclamation marks, question marks, colons, semicolons, hyphens, parentheses, brackets, quotes, and all other symbols. Letters, digits, and spaces are preserved.
Processing runs in real time in your browser with no server required. This tool is ideal for preparing text for word frequency analysis, bag-of-words feature extraction, keyword extraction, and other NLP tasks where clean tokenizable text is needed.
Key Features of Remove Punctuation
- Removes all punctuation and symbol characters from text
- Preserves letters, digits, and whitespace including line breaks
- Instant real-time processing as you type or paste
- Useful as a preprocessing step for NLP and machine learning
- One-click copy button for the cleaned output
- Download result as a plain .txt file
- No character length limit — handle large documents
- Runs entirely in-browser with no data transmission
Examples
Prepare text for word frequency analysis
Strip punctuation from a paragraph before splitting it into words for frequency counting.
Input
Hello, world! This is a test. Is it working? Yes, it is.
Output
Hello world This is a test Is it working Yes it is
Clean a sentence for bag-of-words tokenization
Remove all punctuation from a sentence before splitting it into tokens for machine learning.
Input
"Don't stop," she said. "Keep going!"
Output
Dont stop she said Keep going
Common Use Cases
- Preprocessing text for NLP word frequency and tokenization analysis
- Preparing bag-of-words feature vectors for machine learning models
- Cleaning text before splitting into tokens for sentiment analysis
- Removing symbols from keyword lists before deduplication
- Stripping punctuation from OCR output before further text processing
- Preparing clean word lists for corpus analysis or vocabulary building
Troubleshooting
Expecting hyphens in compound words like "state-of-the-art" to be preserved
Solution
Hyphens are treated as punctuation and are removed. "state-of-the-art" becomes "stateoftheart" as one token. If you need to preserve hyphens in compound words, use Find & Replace to convert them to underscores or spaces before removing punctuation.
Apostrophes in contractions like "don't" and "it's" being removed
Solution
Apostrophes are punctuation and are removed, turning "don't" into "dont". For NLP tasks that treat contractions as special tokens, expand contractions manually before removing punctuation.
Extra spaces appearing where punctuation was removed
Solution
When punctuation characters that had no surrounding spaces are removed, words may run together. Use the Remove Extra Spaces tool after punctuation removal to collapse any resulting multiple spaces into single spaces.
Frequently Asked Questions
What counts as punctuation?
All characters that are not letters (a-z, A-Z), digits (0-9), or whitespace are removed. This includes periods, commas, exclamation marks, question marks, colons, semicolons, hyphens, apostrophes, brackets, quotes, and all other symbols.
Are numbers removed?
No. Digits (0-9) are preserved along with letters and whitespace. Only punctuation and symbol characters are removed.
Are line breaks preserved?
Yes. Newline characters are considered whitespace and are preserved. The line structure of your text is maintained after punctuation removal.
What happens to contractions like "don't"?
The apostrophe is removed, turning "don't" into "dont". For NLP tasks that require correct handling of contractions, expand them to their full forms ("do not") before removing punctuation.
What happens to hyphenated words?
Hyphens are removed, joining the two parts of a compound word into one token. "state-of-the-art" becomes "stateoftheart". If you need to preserve compound word boundaries, convert hyphens to spaces first.
Is there a text length limit?
No. Processing runs locally in your browser with no server overhead. Large documents with thousands of words are cleaned instantly.
Is my text sent to a server?
No. All processing runs in client-side JavaScript. Your text is never uploaded, stored, or transmitted anywhere.
After removing punctuation, should I also remove extra spaces?
Possibly. If punctuation characters were surrounded by spaces (like "word , word"), their removal leaves extra spaces. Run the Remove Extra Spaces tool after removing punctuation to clean up any resulting multiple spaces.