ASCII-only converter

ASCII defines 128 codepoints: the basic Latin letters, digits, standard punctuation, and a small number of control characters, standardised decades before Unicode existed. Converting text to ASCII-only means every codepoint outside that set is stripped or replaced so the remaining text fits entirely within it.

Unicode, the encoding underlying nearly all contemporary text, defines well over one hundred thousand characters across every written script, plus symbols and emoji, of which ASCII is a small, early subset. Conversion to ASCII is lossy by construction: information is discarded, not merely reformatted, and the operation is not reversible.

Certain legacy data pipelines, older EDI and CSV import processes, some email header specifications, and configuration formats tied to older software reject or corrupt content outside the ASCII range. Several filename and identifier conventions on older platforms carry the same restriction.

A separate, defensive justification applies where the encoding support of a downstream system is uncertain: ASCII is the one range guaranteed to survive intact, since every text encoding in common use is a strict superset of it.

Stated precisely, before any conversion is performed.

Accented Latin letters

Café becomes cafe, naïve becomes naive. The diacritic, which can carry pronunciation and occasionally meaning, is removed without substitution.

Curly quotation marks and apostrophes

Outside ASCII. A correct conversion substitutes the plain " and ' characters; an incorrect one drops or corrupts them.

Em dashes and en dashes

Neither exists in ASCII. Substitution with a plain hyphen is required, or the character is lost entirely.

Emoji

Entirely outside the ASCII range, with no substitute character available. Conversion removes them without exception.

Non-Latin scripts

Chinese, Japanese, Korean, Arabic, Hebrew, Cyrillic, Devanagari and every other non-Latin script have no ASCII representation whatsoever. Content in these scripts is eliminated, not reduced.

Currency and technical symbols

The euro sign, the pound sign, and most mathematical notation lie outside ASCII with no built-in substitute.

This page functions as a reference article; no computation occurs when it loads. An ASCII-only conversion is not a single operation, it is several independent decisions grouped under one label: remove diacritics, substitute punctuation, and either drop or transliterate content in other scripts. Presenting these as one undifferentiated action would obscure the trade-offs documented above rather than surfacing them for an informed choice.

For Latin-script content, two existing tools on this site handle the majority of the operation, applied as separate, deliberate steps.

1. Apply the accent remover

Removes diacritics from Latin letters through Unicode decomposition, converting café to cafe while leaving unrelated content unaffected. Executes locally with no limit.

2. Apply punctuation normalisation

The ChatGPT text cleaner offers an option converting curly quotation marks to straight equivalents and em and en dashes to a plain hyphen.

3. Manually review remaining content

Emoji and non-Latin script are unaffected by either tool. Determining whether to remove, describe, or transliterate such content is a decision specific to the material and is not automated here.

Emoji and non-Latin script content are not processed by any tool here. No automatic transliteration from Arabic, Chinese or Cyrillic into ASCII exists, because that operation constitutes a linguistic judgement with more than one defensible outcome, not a mechanical substitution.

Legacy data pipelines and specific EDI or CSV formats that reject content outside the basic range. Configuration files and certain build tooling or commit hooks enforcing ASCII-only content. Filenames and identifiers on systems predating broad Unicode adoption. Plain-text email transmitted through older mail infrastructure with unreliable extended-character support.

No. Removing curly quotes, dashes and diacritics alters byte-level punctuation, not the sentence structure or lexical choice a detector evaluates. Some characters removed in this process happen to be ones associated with AI writing by some readers, but that is incidental to the operation, not a method of altering how the writing itself reads.