Remove Punctuation

Text Tools

How to use the Remove Punctuation

Remove punctuation with precise control in three steps:

1

Paste your text

Paste any text containing punctuation into the input area.

2

Configure keep options

Toggle which punctuation to preserve: sentence enders (. ! ?), apostrophes in contractions, hyphens and em dashes, commas, and Unicode punctuation. Enable 'Collapse spaces' to clean up gaps left by removed marks.

3

Convert and copy

Click 'Remove Punctuation' and copy or download the output. Stats pills show exact removal count.


When to use this tool

Use to clean text for NLP, data processing, and analysis:

  • Preparing text for NLP preprocessing pipelines where punctuation is noise that interferes with tokenisation
  • Cleaning text before word frequency analysis or keyword density checking to avoid punctuation-attached word variants
  • Stripping punctuation from text before passing it to a text-to-speech engine that doesn't handle punctuation gracefully
  • Removing punctuation from search terms before fuzzy matching to improve match rates
  • Normalising text data in a machine learning dataset by removing punctuation for consistent feature extraction
  • Cleaning exported chat logs or social media data before sentiment analysis or topic modelling

Frequently asked questions

Q:What punctuation characters are removed by default?
All standard ASCII punctuation is removed: . , ; : ! ? ' " ( ) [ ] { } - + = < > @ # $ % ^ & * _ \ / | ` ~ and their Unicode equivalents including curly quotes (“”‘’), em dash (—), en dash (–), ellipsis (…), and guillemets («»). Use the keep toggles to selectively preserve specific marks.
Q:How do I keep apostrophes in contractions like 'don't' or 'it's'?
Enable the 'Keep apostrophes' toggle. This preserves both the ASCII apostrophe (') and the Unicode right single quotation mark (’, commonly used as a typographic apostrophe in word processors). With this toggle on, words like 'don’t', 'it’s', and 'they’re' are left intact while all other punctuation is removed.
Q:Are Unicode punctuation marks like em dashes and curly quotes removed?
Yes — in addition to ASCII punctuation, the tool removes Unicode punctuation characters from the General Punctuation block (U+2000–U+206F) and other Unicode punctuation ranges that include curly quotes, em dashes, en dashes, ellipses, and various bracket forms. Toggle 'Keep Unicode punctuation' to preserve all Unicode punctuation while still removing ASCII punctuation.
Q:What happens to the spaces left after punctuation is removed?
When 'Collapse spaces' is enabled, any run of two or more consecutive spaces produced by removing punctuation is collapsed to a single space, and leading/trailing spaces on each line are trimmed. This is essential for producing clean text rather than text with awkward gaps where punctuation used to be.
Q:Will removing punctuation break NLP tokenisation?
It depends on the tokeniser. Most modern NLP tokenisers (spaCy, NLTK, Hugging Face) handle punctuation removal gracefully and are designed to work with or without punctuation. Some tokenisers rely on punctuation to identify sentence boundaries, so if you need sentence-level processing, enable 'Keep sentence enders' to preserve . ! ? before tokenising.
Q:Does the tool remove punctuation inside URLs or email addresses?
Yes — the tool treats all text uniformly and does not detect URLs or email addresses. Punctuation within URLs (/ : . -) and email addresses (@ .) will be removed along with all other punctuation unless you enable the relevant keep toggles (Keep dots, Keep @ signs, Keep hyphens). Pre-process to extract URLs first if preservation is needed.