Diacritic Remover
Remove diacritics, accents, and umlauts from text instantly online. Converts ü→u, ğ→g, ç→c, é→e, and more. Free diacritic remover — no signup, runs entirely in your browser.
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Diacritics are marks added to base letters to indicate pronunciation differences, stress, or tonal distinctions. Common examples include the acute accent (é), grave accent (è), umlaut (ü), cedilla (ç), tilde (ñ), and circumflex (â). Hundreds of languages use diacritics, and Unicode encodes thousands of precomposed characters that combine a base letter with one or more marks.
Removing diacritics — also called 'stripping accents' or 'accent folding' — is a standard text normalization technique in software engineering. The canonical method uses Unicode NFD (Canonical Decomposition) to split precomposed characters into their base letter plus combining mark(s), then removes all characters in the Unicode 'Mn' (Mark, Nonspacing) category. The result is ASCII-compatible text that preserves the base letters.
This tool performs diacritic removal in the browser using the native String.prototype.normalize('NFD') method followed by a regex that strips Unicode combining marks. It handles all Latin-script diacritics including Turkish (ş, ğ, ı), Nordic (å, ø, æ), Vietnamese, and Central European characters. Note that some characters like ø and ß have no direct ASCII equivalent and may require manual substitution for strict ASCII output.
Common Use Cases
Generating URL slugs from international titles
Blog platforms, e-commerce sites, and CMSes generate URL slugs from page titles. A French article titled 'Découverte de Paris' must become 'decouverte-de-paris' for a clean ASCII URL. Diacritic removal is the first step in slug generation pipelines used by systems like WordPress, Gatsby, and Hugo before spaces are replaced with hyphens and the string is lowercased.
Normalizing search index terms
Full-text search engines normalize search queries and indexed content to improve recall. Elasticsearch's 'asciifolding' token filter, Postgres pg_trgm extension, and Typesense's built-in normalization all perform accent folding so that a search for 'resume' also matches 'résumé'. When building a custom search pipeline without these tools, manual diacritic removal achieves the same result.
Preparing data for legacy systems with ASCII-only fields
Many legacy databases, mainframe systems, and older EDI formats only accept 7-bit ASCII in text fields. Customer name and address data collected from international users — containing accented names like Müller, García, or Čech — must be normalized before insertion. Diacritic removal produces the closest ASCII approximation while retaining readability.
What Are Diacritics?
Diacritics are marks added to letters to indicate a different pronunciation or stress. Common examples include: