spellcheck

द्वारा brave

वर्तनी सुधार के लिए उपयोग करें। यदि गलत वर्तनी है तो सही क्वेरी लौटाता है। अधिकांश खोज एंडपॉइंट में spellcheck बिल्ट-इन होता है; इसका उपयोग केवल खोज-पूर्व क्वेरी सफाई या… के लिए करें।

npx skills add https://github.com/brave/brave-search-skills --skill spellcheck

ZIP डाउनलोड करें GitHub

157

Spellcheck

Requires API Key: Get one at https://api.search.brave.com

Plan: Included in the Spellcheck plan. See https://api-dashboard.search.brave.com/app/subscriptions/subscribe

Quick Start (cURL)

curl -s "https://api.search.brave.com/res/v1/spellcheck/search" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
  -G \
  --data-urlencode "q=artifical inteligence" \
  --data-urlencode "lang=en" \
  --data-urlencode "country=US"

Endpoint

GET https://api.search.brave.com/res/v1/spellcheck/search

Authentication: X-Subscription-Token: <API_KEY> header

Parameters

Parameter	Type	Required	Default	Description
`q`	string	Yes	—	Query to spell check (1-400 chars, max 50 words)
`lang`	string	No	`en`	Language preference (2+ char language code, e.g. `en`, `fr`, `de`, `pt-br`, `zh-hans`). 51 codes supported
`country`	string	No	`US`	Search country (2-letter country code or `ALL`)

Response Fields

Field	Type	Description
`type`	string	Always `"spellcheck"`
`query.original`	string	The input query as submitted
`results`	array	Spell-corrected suggestions. May be empty when no correction is found
`results[].query`	string	A corrected version of the query

Example Response

{
  "type": "spellcheck",
  "query": {
    "original": "artifical inteligence"
  },
  "results": [
    {
      "query": "artificial intelligence"
    }
  ]
}

Use Cases

Pre-search query cleanup: Check spelling before deciding which search endpoint to call
"Did you mean?" UI: Show users a corrected suggestion before running the search
Batch query normalization: Clean up user inputs in bulk

Notes

Built-in alternative: Web Search and LLM Context have spellcheck=true by default — use this standalone endpoint only when you need the correction before searching
Context-aware: Corrections consider the full query context, not just individual words