# Normalize

> Repair and shape imported names, phones, addresses and identifiers.

Source: https://bettersupabase.com/docs/concepts/normalize

`better-supabase/normalize` is a set of pure functions for import mappers.
Locale rules are data: a country is a calling code, a postal shape or a
national-id length, not a branch inside the function. The same checks exist in
SQL as `better_supabase.validate_iban` and `better_supabase.normalize_phone`.

```ts
import {
  TEXT_PACKS,
  normalizePhone,
  sanitizeText,
  splitPersonName,
  validateIban,
} from "better-supabase/normalize";

splitPersonName("A.M. Gerritsen").initials; // "A.M."
normalizePhone("06 12345678", { defaultRegion: "NL" }); // "+31612345678"
validateIban("NL91 ABNA 0417 1643 00"); // true

sanitizeText("café", {
  repairs: TEXT_PACKS["utf8-as-latin1"],
  stripControl: true,
  csvQuotes: true,
});
```

`sanitizeText` applies each repair once, as a literal string. The named packs
are `utf8-as-latin1`, `windows-1252`, `cp437` and `cp850`. No pattern for one
source is built in. `detectMojibake` returns a score from 0 to 1, and
`looksShouted` is true when most longer words are capitals.

`splitPersonName` keeps initials and never expands them, and puts particles
such as `van der` in `infix`. `classifyParty` uses that split. `auto` treats a
legal suffix (`bv`, `gmbh`, `ltd`) as a company and stores `legalName`. A
person keeps initials, so `A. Gerritsen` and `A.M. Gerritsen` stay different.