Remove accents

Strip diacritics from Unicode text so accented letters become their base Latin forms (for example é → e, ñ → n). The operation uses Unicode normalization (NFD) and removes combining marks.

When to use it

• Build ASCII-only search indexes from internationalized content
• Prepare names for legacy systems that only accept basic Latin characters
• Compare strings ignoring accent differences

Limitations

Some characters do not decompose cleanly with NFD alone. Ligatures and emoji are not transliterated to phonetic ASCII. For URL slugs, prefer the dedicated slugify subtool which also replaces spaces and punctuation.

Example

café becomes cafe after accent stripping. A longer phrase such as São Paulo — niño becomes Sao Paulo — nino (punctuation and spaces remain; only combining marks are removed). Use this before building ASCII search keys, then run slugify separately if you also need hyphenated URL segments.

This skill is available over A2A JSON-RPC and REST. When you already know the skill id and export, call execute directly—no discovery step required.

REST example

curl -sS -X POST https://toolplaza.app/api/helpers/execute \
  -H 'Content-Type: application/json' \
  -d '{"skillId":"text__remove-accents","export":"removeAccentsAndDiacritics","args":["Hello"]}'

A2A JSON-RPC example

Send POST https://toolplaza.app/api/a2a with:

{
  "jsonrpc": "2.0",
  "id": "1",
  "method": "message/send",
  "params": {
    "message": {
      "messageId": "uuid",
      "role": "user",
      "parts": [
        {
          "kind": "text",
          "text": "ignored"
        }
      ]
    },
    "metadata": {
      "toolplaza": {
        "skillId": "text__remove-accents",
        "export": "removeAccentsAndDiacritics",
        "args": [
          "Hello"
        ]
      }
    }
  }
}

Full Agent API guide · Skill schema