About the Remove Accents
The Remove Accents tool is a free, browser-based utility that instantly strips diacritical marks (accents, umlauts, tildes, cedillas, and other combining characters) from text, converting accented letters to their plain ASCII equivalents. It processes your input entirely in your browser without uploading data to any server, making it completely private and requiring no sign-up. The tool solves a critical compatibility problem: when text needs to work with systems that don't support special characters, when creating URL-friendly slugs from titles, or when standardizing names and identifiers across databases and platforms.
How Remove Accents works
How the Remove Accents Tool Works
The tool uses Unicode normalization (NFD - Canonical Decomposition) to break down each accented character into two parts: the base letter and its combining diacritical mark. For example, the character "é" is decomposed into "e" + combining acute accent (´). The tool then filters out all combining marks while keeping the base letters, leaving you with clean, plain text.
This happens instantly in your browser using JavaScript, so there is no network request, no server processing, and no data stored anywhere. You can paste text, URL content, or upload a file, and the transformation completes immediately.
Worked Example
Input: "Café résumé naïve Señor über François"
Output: "Cafe resume naive Senor uber Francois"
The tool removes: acute accents (´) from é, grave accents (`) from accented letters, tildes (~) from ñ, diaeresis marks (¨) from ü, and all other diacritical marks, converting each to its base ASCII character.
How to use
- Type or paste your text into the input box.
- The result updates instantly as you type.
- Click Copy to use the output.
Common uses
- Creating URL-friendly slugs from article titles, product names, or navigation links that contain accented characters
- Generating standardized filenames for cross-platform file sharing when some users or systems cannot read special characters
- Preparing data for databases, search indexes, and APIs that require plain ASCII text or have character encoding restrictions
- Normalizing email addresses, usernames, and identifiers in registration systems where accented input causes validation errors
- Processing multilingual content for systems that treat 'resume' and 'résumé' or 'cafe' and 'café' as different entries when unified matching is needed
- Cleaning up imported data, CSV files, or legacy documents that need standardization before integration into modern applications