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Remove Accents
Remove accents and diacritics from text for slugs, search normalization, and data cleanup.
Process the input to see the result here.
Remove accents and diacritics to normalize text for slugs, search, CSV cleanup, identifiers, and data preparation.
When to use
Use it when text needs comparison, indexing, or publishing without diacritic marks while preserving letters, numbers, and punctuation.
Input
Paste words, sentences, or text lists. Uppercase, lowercase, numbers, and punctuation are preserved.
Output
The output keeps the original text without accents, ready to copy into slug, search, or cleanup workflows.
- Paste text with accents or diacritics.
- Run removal and verify that the meaning is still clear.
- Use Slugify Text if the result needs to become a URL slug.
- Validate multilingual samples before applying output to data batches.
- Slugs and URLs: Prepare titles such as ação, café, and résumé for slug or filename workflows.
- Search normalization: Standardize text for simple comparison in filters, indexes, or spreadsheets.
- CSV cleanup: Normalize names and text fields before importing data into accent-sensitive systems.
- No translation: The tool removes diacritic marks but does not change language or fix spelling.
- Special characters: Symbols, punctuation, and spaces are preserved; use Slugify to remove unwanted separators.
- Different languages: Portuguese, Spanish, and French common diacritics work well, but review language-specific rules.
- Data batches: Validate a sample before using output in imports or search keys.
- Remove Accents for Slugs, Search, and Filenames
Learn how accent removal supports URL slugs, search normalization, filenames, and code identifiers without changing more text than needed.
Remove diacritics
Input: café résumé
Output: cafe resume
Normalize text for slugs
Input: ação coração
Output: acao coracao
Does this tool translate text?
No. It only removes accents and diacritics.
Are punctuation and numbers changed?
No. The tool targets diacritics; other characters are kept.
Are uppercase and lowercase preserved?
Yes. Only accents are removed.
Is it useful for data normalization?
Yes. It helps with slug generation, simplified search, and text normalization.
Is text stored on a server?
No. Conversion runs locally in the browser.
How do I use this tool safely?
Use the tool as a short workflow: review the expected input, run processing, and validate the output: Fields: Text (textarea, required). Example workflow: café résumé -> cafe resume. Enter the requested input, run the tool, and review validation messages or warnings before copying the result.
Which inputs and outputs should I check?
Check this tool's input fields, examples, and output before using the result: Text (textarea, required). Use the fields, formats, and limits described in the tool interface; review the output before applying it to critical workflows.