Punctuation serves readers but creates problems for machines. In text analysis and ML, punctuation creates false token boundaries and inflates vocabulary sizes.
Strips all punctuation and symbol characters from text, leaving only letters, numbers, and whitespace. Handles both ASCII and Unicode punctuation.
Removes all ASCII and Unicode punctuation, preserves alphanumeric content and whitespace, handles typographic punctuation, processes large text instantly.
Applies a character-class filter removing Unicode punctuation (Pc, Pd, Pe, Pf, Pi, Po, Ps) and symbol categories while preserving letters, numbers, and separators.
NLP engineers preprocess training data. SEO analysts calculate keyword density. Data scientists prepare corpora for topic modeling. Search engineers normalize text for indexing.
Manual removal is impractical. Regex requires knowing character classes. This tool provides the same result with paste-and-copy — no regex knowledge needed.
Data scientists, NLP engineers, SEO analysts, researchers, content strategists, and developers cleaning text for computational processing.
Paste text. All punctuation stripped instantly. Copy clean output for your pipeline.
Standard NLP order: remove punctuation → lowercase → tokenize → remove stop words. Keep original text available for context.
Cannot distinguish apostrophes in contractions from stray apostrophes. Hyphens in compound words are removed.
Periods, commas, semicolons, colons, exclamation/question marks, quotes, hyphens, dashes, parentheses, brackets, braces, slashes, and symbols like @, #, $, %, ^, &, *.
Yes. Only punctuation and symbols are removed. Letters, numbers, and whitespace are preserved.
Punctuation creates false distinctions. 'data', 'data,', 'data.' should all be the same token. Removing punctuation before tokenization ensures accurate word counts and TF-IDF calculations.
Yes. Removes curly quotes, em dashes, en dashes, ellipses, and other typographic punctuation.
This tool removes all. For selective removal, use Find & Replace to target specific characters.
Apostrophes are removed: don't→dont, it's→its. To preserve contractions, expand them first with Find & Replace.
Very. OCR engines frequently misrecognize characters as punctuation. Stripping all punctuation eliminates these artifacts.
Yes — sentence boundaries disappear. This tool is for preprocessing, not producing human-readable output.
See also: Remove Accents, Case Converter, Remove Numbers.