> For clean Markdown of any page, append `.md` to the page URL. > For a complete documentation index, see https://docs.sarvam.ai/llms.txt. > For full documentation content in one file, see https://docs.sarvam.ai/llms-full.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.sarvam.ai/_mcp/server. # Language Detection POST https://api.sarvam.ai/text-lid Content-Type: application/json Identifies the language (e.g., en-IN, hi-IN) and script (e.g., Latin, Devanagari) of the input text, supporting multiple languages. Reference: https://docs.sarvam.ai/api-reference/text/identify-language ## Authentication - `api-subscription-key` header (required) — API Key authentication via header ## Request ### Body (application/json) This endpoint expects a Sarvam_Model_API_LanguageIdentificationRequest. - `input` (string, required) — The text input for language and script identification. Max Input Limit is 1000 characters ## Response ### 200 Successful Response - `request_id` (string, required, nullable) - `language_code` (string, optional, nullable) — The detected language code of the input text. Available languages: - **`en-IN`**: English - **`hi-IN`**: Hindi - **`bn-IN`**: Bengali - **`gu-IN`**: Gujarati - **`kn-IN`**: Kannada - **`ml-IN`**: Malayalam - **`mr-IN`**: Marathi - **`od-IN`**: Odia - **`pa-IN`**: Punjabi - **`ta-IN`**: Tamil - **`te-IN`**: Telugu - `script_code` (string, optional, nullable) — The detected script code of the input text. Available scripts: - **`Latn`**: Latin (Romanized script) - **`Deva`**: Devanagari (Hindi, Marathi) - **`Beng`**: Bengali - **`Gujr`**: Gujarati - **`Knda`**: Kannada - **`Mlym`**: Malayalam - **`Orya`**: Odia - **`Guru`**: Gurmukhi - **`Taml`**: Tamil - **`Telu`**: Telugu ## Errors ### 400 Bad Request Error Bad Request - `error` (Sarvam_Model_API_ErrorDetails, required) — Error details ### 403 Forbidden Error Forbidden - `error` (Sarvam_Model_API_ErrorDetails, required) — Error details ### 422 Unprocessable Entity Error Unprocessable Entity - `error` (Sarvam_Model_API_ErrorDetails, required) — Error details ### 429 Too Many Requests Error Quota Exceeded - `error` (Sarvam_Model_API_ErrorDetails, required) — Error details ### 500 Internal Server Error Internal Server Error - `error` (Sarvam_Model_API_ErrorDetails, required) — Error details ## Types ### Sarvam_Model_API_ErrorDetails - `request_id` (string, required, nullable) - `message` (string, required) — Message describing the error - `code` (enum, required) — Error code for the specific error that has occurred. Refer to the error code documentation for more details. - Allowed values: `invalid_request_error`, `internal_server_error`, `unprocessable_entity_error`, `insufficient_quota_error`, `invalid_api_key_error`, `authentication_error`, `not_found_error`, `rate_limit_exceeded_error`, `model_call_error`, `gateway_timeout_error`, `billing_service_unavailable_error` ## Examples **Request** ```json { "input": "नमस्ते आप कैसे हैं" } ``` **Response** ```json { "request_id": "20250101_0a1b2c3d-1234-5678-9abc-def012345678", "language_code": "hi-IN", "script_code": "Deva" } ``` **SDK Code** ```python text_identifyLanguage_example import requests url = "https://api.sarvam.ai/text-lid" payload = { "input": "नमस्ते आप कैसे हैं" } headers = { "api-subscription-key": "", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript text_identifyLanguage_example const url = 'https://api.sarvam.ai/text-lid'; const options = { method: 'POST', headers: { 'api-subscription-key': '', 'Content-Type': 'application/json' }, body: '{"input":"नमस्ते आप कैसे हैं"}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go text_identifyLanguage_example package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.sarvam.ai/text-lid" payload := strings.NewReader("{\n \"input\": \"नमस्ते आप कैसे हैं\"\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("api-subscription-key", "") req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby text_identifyLanguage_example require 'uri' require 'net/http' url = URI("https://api.sarvam.ai/text-lid") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["api-subscription-key"] = '' request["Content-Type"] = 'application/json' request.body = "{\n \"input\": \"नमस्ते आप कैसे हैं\"\n}" response = http.request(request) puts response.read_body ``` ```java text_identifyLanguage_example import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.sarvam.ai/text-lid") .header("api-subscription-key", "") .header("Content-Type", "application/json") .body("{\n \"input\": \"नमस्ते आप कैसे हैं\"\n}") .asString(); ``` ```php text_identifyLanguage_example request('POST', 'https://api.sarvam.ai/text-lid', [ 'body' => '{ "input": "नमस्ते आप कैसे हैं" }', 'headers' => [ 'Content-Type' => 'application/json', 'api-subscription-key' => '', ], ]); echo $response->getBody(); ``` ```csharp text_identifyLanguage_example using RestSharp; var client = new RestClient("https://api.sarvam.ai/text-lid"); var request = new RestRequest(Method.POST); request.AddHeader("api-subscription-key", ""); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"input\": \"नमस्ते आप कैसे हैं\"\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift text_identifyLanguage_example import Foundation let headers = [ "api-subscription-key": "", "Content-Type": "application/json" ] let parameters = ["input": "नमस्ते आप कैसे हैं"] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.sarvam.ai/text-lid")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ```