OCR documents
Scanned text introduces stray commas, periods, and misread symbols.
Strip periods, commas, quotes, and symbols while optionally keeping apostrophes in contractions and hyphens in compound words.
Remove Punctuation
Strip symbols with fine-grained keep and preserve options plus live stats.
Top Symbols Found
Most common: —
No punctuation detected
Paste or type text containing punctuation to clean.
Your text stays in your browser — nothing is uploaded.
Standard cleanup → Clean output
Before
Hello, world! It's well-known.
After
Hello world It's well-known
Quotes removed
She said "Hello" loudly.
→
She said Hello loudly
Decimals & emails preserved
Price is 3.14. Email test@example.com.
→
Price is 3.14 Email test@example.com
Scanned text introduces stray commas, periods, and misread symbols.
Normalize ChatGPT output with the Plain Text Converter, then strip smart quotes and em dashes here.
Quoted fields and comma separators add punctuation noise to pasted data.
Strip symbols from social exports before using Remove Hashtags or Remove URLs.
Qualitative exports need symbol stripping before coding and analysis.
Punctuation in indexed text can split tokens and reduce match quality.
Preserve contractions like It's and possessives during cleanup.
Retain compound words such as well-known and hyphenated terms.
Strip quotation marks while leaving other punctuation untouched.
Default mode strips symbols except your selected keep and preserve options.
Keep decimal points in numbers like 3.14 and 25.5.
Protect email addresses from symbol stripping during cleanup.
| Mode | Before | After |
|---|---|---|
| All punctuation | Hello, world! |
Hello world |
| Keep apostrophes | It's John's book. |
It's John's book |
| Keep hyphens | Well-known. |
Well-known |
| Remove quotes | "Hello" |
Hello |
| Preserve decimals | 3.14, 25.5 |
3.14 25.5 |
| Preserve emails | test@example.com! |
test@example.com |
| Quotes only | "Hello" |
Hello |
| Hyphen preservation | well-known |
well-known |
| Email preservation | test@example.com |
test@example.com |
| URL preservation | https://example.com |
https://example.com |
Unicode punctuation from word processors, AI tools, and multilingual text is detected and removed. Smart quotes, dashes, and language-specific marks are all supported.
“Hello”
‘Hello’
Hello — world
10–20
Wait…
« Bonjour »
By default, all categories below are removed unless you enable keep or preserve options. Hyphens and apostrophes can be kept; decimals, emails, and URLs can be preserved.
.
Removed unless inside preserved decimals.
,
Always removed in full mode.
?
Includes Spanish ¿.
!
Includes Spanish ¡.
" '
ASCII and Unicode quote marks.
( )
Round brackets removed.
[ ]
Square and curly brackets.
/
Removed unless inside preserved URLs.
;
Removed in full mode.
:
Removed in full mode.
&
Removed as symbols.
$ € £
Removed unless keep symbols is off and targeted mode used.
Multilingual punctuation is detected via Unicode matching. Strip language-specific marks while optionally keeping apostrophes and hyphens.
Standard commas, periods, and exclamation marks.
Before
Hello, world!
After
Hello world
Inverted ¿ and ¡ marks are removed.
Before
¡Hola! ¿Cómo estás?
After
Hola Cómo estás
Guillemets « » are stripped from quoted text.
Before
« Bonjour »
After
Bonjour
Low-high German quotation marks are removed.
Before
„Hallo"
After
Hallo
Enable preserve options to protect structured data. Chain with Remove HTML Tags when cleaning markup-heavy paste first.
Before
3.14, 25.5
After
3.14 25.5
Before
-5.2
After
-5.2
Before
john@example.com
After
john@example.com
Before
https://example.com
After
https://example.com
Before
U.S.A.
After
USA
Before
Price is 3.14. Email test@example.com.
After
Price is 3.14 Email test@example.com
Punctuation removal is a core preprocessing step before counting, embedding, or indexing text. Pair with Remove Extra Spaces for fully normalized output.
Prepare clean input for the Word Frequency Counter without punctuation skewing counts.
Build consistent word tokens for bag-of-words and n-gram models.
Normalize labeled corpora before training classification models.
Remove symbol noise so polarity models focus on word content.
Strip punctuation that splits or duplicates index tokens.
Remove misread symbols from scanned document text.
Normalize AI prompt text before token budget analysis with the Character Counter.
First pass in a cleanup chain with the Plain Text Converter and related tools.
Notes & Limitations
# or / characters may be affected — paste prose when possible.Apostrophes in contractions like It's and possessives like John's keep text readable. Enable Keep apostrophes to preserve them during cleanup.
Yes. Enable Preserve decimal numbers to keep decimal points in values like 3.14 and 25.5.
Not when preserve is enabled. Turn on Preserve email addresses to protect @ and dots inside email patterns, or use Remove Emails for targeted redaction.
Yes. Enable Preserve URLs to protect http:// and https:// links from symbol stripping.
Yes. Enable Remove quotes only to strip quotation marks including smart quotes and guillemets without removing other punctuation.
By default, all Unicode punctuation and symbols are removed except your keep and preserve options. Targeted checkboxes remove only commas, periods, brackets, or symbols.
Yes. Smart quotes, em dashes, ellipses, guillemets, and inverted Spanish marks are detected via Unicode property matching.
Trailing periods in abbreviations like Dr. and acronyms like U.S.A. are removed in full punctuation mode, producing USA.
Yes. Keep hyphens is enabled by default so compound words like well-known stay intact.
Yes. With Preserve decimal numbers enabled, negative decimals like -5.2 keep their minus sign and decimal point.
Yes. This tool is designed for NLP preprocessing — strip punctuation before tokenization, frequency analysis, or model training pipelines.
No. All punctuation processing runs entirely in your browser using JavaScript. Your text never leaves your device.