Extract ASCII Characters extract only characters whose code points are in the standard 0–127 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.
Extraction is useful when the source may contain a mixture of ordinary ASCII and Unicode text and you need to preserve only the characters that are already valid ASCII. It is intentionally different from transliteration: a character such as é is not replaced with e, because that would invent a new character rather than identify an existing ASCII one.
Because the operation preserves order, the output can usually be compared directly with the source by scanning from left to right. Non-ASCII characters simply disappear. This makes the tool useful for preparing a clean test string while still making it clear that information has been discarded.
For legacy integrations, extraction can be a useful preflight step, but it should not be treated as a complete data-quality policy. Removing unsupported characters may make a record technically ASCII while also removing important information. Keep the original source when the lost characters could matter later.
A good verification uses mixed input with ASCII letters, an accented character, an emoji, a space, and a line break. The expected result should retain the ASCII portions in their original order, including the space and line break, while excluding only the non-ASCII characters.