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Smart quotes remover

Turn “smart” curly quotes back into plain straight ones. Word processors auto-replace " and ' with curly typographic versions, and dashes and ellipses too — which quietly break code, JSON and config files. Paste your text and get a clean, ASCII-safe copy in one click.

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Open Smart quotes remover and you get an answer straight away, with no account to create. Its place is under Counting & analysis; Trailing whitespace remover and Lipogram checker answer the questions closest to this one.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What is Smart quotes remover?

Turn “smart” curly quotes back into plain straight ones. Word processors auto-replace " and ' with curly typographic versions, and dashes and ellipses too — which quietly break code, JSON and config files. Paste your text and get a clean, ASCII-safe copy in one click.

What does a concrete case look like?

“quoted” → "quoted" · don’t → don't — the tool shows every step in between, not just the final figure.

When would I actually use this?

Fitting a piece to a limit: an essay to a word count, a post to a network's cap, a meta description to what a result page will show.

What is the most common mistake?

Assuming one character equals one unit of the limit. An emoji can cost two or more, a combining accent can cost two, and several platforms bill a link at a flat rate regardless of length.

How is Smart quotes remover different from Trailing whitespace remover?

They sit next to each other but answer different questions: Trailing whitespace remover is the one to open when you need it to remove trailing spaces and tabs from the end of every line. Pick whichever matches what you're starting from — both are free.

Where do the figures come from?

Counting follows Unicode: the tool reports code points and grapheme clusters separately, because they differ for emoji and combining marks. Per-network limits come from each platform's published specification.

Further reading

All guides →
ExplainerCounting Words Is Ambiguous, and Every Tool Answers DifferentlyA word count is a definition, not a measurement. We counted the same paragraph four ways and got 25, 28, 33 and 38 — then counted 50,000 characters of ordinary prose and got agreement to within 4.5%. The gap is entirely driven by compounds, figures and URLs.ExplainerWord Frequency and Zipf's Law: We Counted Six Books in Six Languages and Fitted the SlopeThe nth most common word appears about 1/n as often as the first. We counted six public-domain books, printed rank × frequency, fitted log frequency against log rank, and got slopes between -1.02 and -1.08 in all six languages — plus the two places the law breaks.ExplainerWhere a Line May Break: The Unicode Algorithm Behind Every Wrapped Paragraph"Break at spaces" fails in most of the world's writing systems. UAX #14 gives every character a line-break class; we looked ours up in Unicode 17.0.0 and ran a conforming implementation over no-break spaces, soft hyphens, zero-width spaces, URLs, Japanese and Thai.ExplainerCounting Characters Against a Limit Someone Else SetOne emoji is 1 character, or 7, or 11, or 25, depending on who is counting. Which one your form, your database and your SMS gateway mean — and a one-paste test that tells you which you are facing.ExplainerWhat Readability Scores Actually Measure (and the Three Things They Cannot See)Flesch Reading Ease and Flesch-Kincaid Grade Level count syllables and sentence length. Nothing else. Both formulas in full, one passage scored end to end, and the comma trick that buys 3.9 grade levels without changing a word.ExplainerDetecting the Language of a Text, and Why Short Texts FailMeasured, not asserted: 90 short real phrases across six languages, none declined and 68 right — 76%, falling to 64% under sixteen letters. Four of the wrong answers came back at 100% confidence.