Remove Punctuation
Strip periods, commas and all punctuation in one click — perfect for NLP preprocessing and clean tokenization.
What is Remove Punctuation?
You're prepping text for tokenization or word-frequency analysis. Every punctuation mark inflates your vocabulary and creates token noise.
Paste any text and get a punctuation-free version back.
If you're training an ML model, you keep token counts honest. If you're indexing for search, you match queries with or without punctuation. If you're analyzing word frequencies, you stop 'hello' and 'hello,' from counting as different tokens.
How to use Remove Punctuation
Four steps. No setup, no signup.
Step 1
Paste your text
Step 2
See punctuation removed instantly
Step 3
Verify spaces and digits survived
Step 4
Hit Copy and feed into your pipeline
Example
All punctuation gets stripped in one pass.
Input
Hello, world! Don't forget: Toolkno's free.
Output
Hello world Dont forget Toolknos free
Why Remove Punctuation is useful
- ✓
Clean text for NLP tokenization or word-frequency analysis.
- ✓
Catch smart quotes, em dashes and Unicode punctuation too.
- ✓
Keep digits, letters and spaces intact — only punctuation goes.
- ✓
Pairs with Remove Numbers for pure-letter output.
Common questions
Does it remove apostrophes?
Yes, 'don't' becomes 'dont'. Most tokenizers handle that fine.
Tip: Use a contraction expander first if you want 'do not'.
What about hyphens?
'State-of-the-art' fuses into 'stateoftheart'.
Tip: Replace hyphens with spaces first if you want word separation.
Does it catch smart quotes and em dashes?
Yes, Unicode punctuation including curly quotes and em dashes is stripped.
Tip: Normalize Unicode first for safety.
Are digits preserved?
Yes, only punctuation is stripped. Letters, digits and spaces stay.
Tip: Use Remove Numbers separately if needed.
Last reviewed: April 2026 · Free, browser-based, no signup.
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