Remove Non-ASCII Characters remove every character outside the standard 0–127 ASCII range. The result preserves the original order of all retained ASCII characters.
Use it when a text stream may contain copied Unicode symbols and the goal is to create a strict ASCII-only version for a legacy interface, parser, fixture, or protocol example.
Unlike a transliteration tool, this operation does not replace accented letters with approximate ASCII spellings. It either keeps a genuine ASCII character or drops the non-ASCII character.
Load the sample and inspect the count of retained versus removed characters. Then add a Unicode symbol such as an emoji or accented letter and verify that only the ASCII portion remains.
Spaces, digits, punctuation, and control characters inside the ASCII range are retained. A newline is ASCII and therefore survives, while an emoji does not.
A useful check is to compare the output length with the number of ASCII characters found by a separate character-code inspection. This catches accidental trimming and unexpected whitespace removal.
The input remains visible, so you can compare source and result. Copy and Download let you export the cleaned text when you are ready.
Remember that removing non-ASCII data is lossy. If the original Unicode characters may matter later, preserve the source separately rather than relying on the filtered output to reconstruct them.
Removing non-ASCII characters is a destructive filtering step, so it is best used when the application explicitly wants an ASCII-only result. It is not a general encoding conversion and it does not try to make Unicode text readable by transliterating it.
The safest workflow is to compare the filtered output with the original before exporting it. Count how many characters were removed and inspect a sample around each removal. This can reveal whether the source contains unexpected smart quotes, typographic punctuation, or symbols that a downstream system cannot accept.
Whitespace inside ASCII remains significant. A newline is ASCII, so removing non-ASCII characters will not collapse line structure by itself. This distinction is useful when cleaning copied text for a parser or command-line fixture because structure can remain intact even while Unicode glyphs disappear.
If the real goal is a readable approximation rather than strict filtering, use transliteration instead. This tool follows the stricter rule: keep the original ASCII characters and drop everything outside the 0–127 range. That predictable rule is easier to test and safer for systems that explicitly require ASCII.