Handling multilingual text and Unicode with fewer surprises
Text that looks normal on screen can contain very different underlying characters. Accents may be composed in more than one way, spaces can be non-standard, quotation marks vary by language, and visually similar letters may come from different scripts. These tools help inspect, normalize, clean, and transform Unicode and multilingual text when copy-and-paste or system compatibility causes problems.
Normalization is useful, but it should not be treated as a blanket cleanup step. Some distinctions matter in names, linguistic data, source code, or identifiers. If you are processing text in a language you do not read, preserve the original and test the transformed version with native-language content before applying changes at scale.