> 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. # REST POST https://api.sarvam.ai/speech-to-text-translate Content-Type: multipart/form-data ## Speech to Text Translation API This API automatically detects the input language, transcribes the speech, and translates the text to English. ### Available Options: - **REST API** (Current Endpoint): For quick responses under 30 seconds with immediate results - **Batch API**: For longer audio files [Follow this documentation](https://docs.sarvam.ai/api-reference-docs/api-guides-tutorials/speech-to-text/batch-api) - Supports diarization (speaker identification) ### Note: - Pricing differs for REST and Batch APIs - Diarization is only available in Batch API with separate pricing - Please refer to [here](https://docs.sarvam.ai/api-reference-docs/pricing) for detailed pricing information Reference: https://docs.sarvam.ai/api-reference-docs/speech-to-text-translate/translate ## OpenAPI Specification ```yaml openapi: 3.1.0 info: title: '' version: 1.0.0 paths: /speech-to-text-translate: post: operationId: translate summary: Speech To Text Translate description: >- ## Speech to Text Translation API This API automatically detects the input language, transcribes the speech, and translates the text to English. ### Available Options: - **REST API** (Current Endpoint): For quick responses under 30 seconds with immediate results - **Batch API**: For longer audio files [Follow this documentation](https://docs.sarvam.ai/api-reference-docs/api-guides-tutorials/speech-to-text/batch-api) - Supports diarization (speaker identification) ### Note: - Pricing differs for REST and Batch APIs - Diarization is only available in Batch API with separate pricing - Please refer to [here](https://docs.sarvam.ai/api-reference-docs/pricing) for detailed pricing information tags: - subpackage_speechToText parameters: - name: api-subscription-key in: header required: true schema: type: string responses: '200': description: Successful Response content: application/json: schema: $ref: >- #/components/schemas/Sarvam_Model_API_SpeechToTextTranslateResponse '400': description: Bad Request content: application/json: schema: $ref: '#/components/schemas/Sarvam_Model_API_ErrorMessage' '403': description: Forbidden content: application/json: schema: $ref: '#/components/schemas/Sarvam_Model_API_ErrorMessage' '422': description: Unprocessable Entity content: application/json: schema: $ref: '#/components/schemas/Sarvam_Model_API_ErrorMessage' '429': description: Quota Exceeded content: application/json: schema: $ref: '#/components/schemas/Sarvam_Model_API_ErrorMessage' '500': description: Internal Server Error content: application/json: schema: $ref: '#/components/schemas/Sarvam_Model_API_ErrorMessage' '503': description: Service Overloaded content: application/json: schema: $ref: '#/components/schemas/Sarvam_Model_API_ErrorMessage' requestBody: content: multipart/form-data: schema: type: object properties: file: type: string format: binary description: >- The audio file to transcribe. Supported formats include WAV, MP3, AAC, AIFF, OGG, OPUS, FLAC, MP4/M4A, AMR, WMA, WebM, and PCM formats. The API automatically detects most codec formats, but for PCM files (pcm_s16le, pcm_l16, pcm_raw), you must specify the input_audio_codec parameter. PCM files are supported only at 16kHz sample rate. Works best at 16kHz. Multiple channels will be merged. prompt: type: - string - 'null' description: >- Conversation context can be passed as a prompt to boost model accuracy. However, the current system is at an experimentation stage and doesn't match the prompt performance of large language models. model: $ref: >- #/components/schemas/Sarvam_Model_API_SpeechToTextTranslateModel description: >- Model to be used for speech to text translation. - **saaras:v2.5** (default): Translation model that translates audio from any spoken Indic language to English. - Example: Hindi audio → English text output input_audio_codec: $ref: '#/components/schemas/Sarvam_Model_API_InputAudioCodec' description: >- Audio codec/format of the input file. Our API automatically detects all codec formats, but for PCM files specifically (pcm_s16le, pcm_l16, pcm_raw), you must pass this parameter. PCM files are supported only at 16kHz sample rate. required: - file servers: - url: https://api.sarvam.ai description: Production components: schemas: Sarvam_Model_API_SpeechToTextTranslateModel: type: string enum: - saaras:v2.5 description: >- Model to be used for speech to text translation. - **saaras:v2.5** (default): Translation model that translates audio from any spoken Indic language to English. - Example: Hindi audio → English text output title: Sarvam_Model_API_SpeechToTextTranslateModel Sarvam_Model_API_InputAudioCodec: type: string enum: - wav - x-wav - wave - mp3 - mpeg - mpeg3 - x-mp3 - x-mpeg-3 - aac - x-aac - aiff - x-aiff - ogg - opus - flac - x-flac - mp4 - x-m4a - amr - x-ms-wma - webm - pcm_s16le - pcm_l16 - pcm_raw description: >- Audio codec/format of the input file. Our API automatically detects all codec formats, but for PCM files specifically (pcm_s16le, pcm_l16, pcm_raw), you must pass this parameter. PCM files are supported only at 16kHz sample rate. title: Sarvam_Model_API_InputAudioCodec Sarvam_Model_API_SpeechToTextTranslateLanguage: type: string enum: - hi-IN - bn-IN - kn-IN - ml-IN - mr-IN - od-IN - pa-IN - ta-IN - te-IN - gu-IN - en-IN - as-IN - ur-IN - ne-IN - kok-IN - ks-IN - sd-IN - sa-IN - sat-IN - mni-IN - brx-IN - mai-IN - doi-IN description: >- Languages supported for Speech-to-Text-Translate (detected source language). **saaras:v2.5 supports (11 languages):** hi-IN, bn-IN, kn-IN, ml-IN, mr-IN, od-IN, pa-IN, ta-IN, te-IN, gu-IN, en-IN **All 22 languages available** including: as-IN, ur-IN, ne-IN, kok-IN, ks-IN, sd-IN, sa-IN, sat-IN, mni-IN, brx-IN, mai-IN, doi-IN title: Sarvam_Model_API_SpeechToTextTranslateLanguage Sarvam_Model_API_DiarizedEntry: type: object properties: transcript: type: string description: transcript of the segment of that audio start_time_seconds: type: number format: double description: Start time of the word in seconds. end_time_seconds: type: number format: double description: End time of the word in seconds. speaker_id: type: string description: Speaker ID for the word. required: - transcript - start_time_seconds - end_time_seconds - speaker_id title: Sarvam_Model_API_DiarizedEntry Sarvam_Model_API_DiarizedTranscript: type: object properties: entries: type: array items: $ref: '#/components/schemas/Sarvam_Model_API_DiarizedEntry' description: List of diarized transcript entries. required: - entries title: Sarvam_Model_API_DiarizedTranscript Sarvam_Model_API_SpeechToTextTranslateResponse: type: object properties: request_id: type: - string - 'null' transcript: type: string description: Transcript of the provided speech language_code: oneOf: - $ref: >- #/components/schemas/Sarvam_Model_API_SpeechToTextTranslateLanguage - type: 'null' description: >- This will return the BCP-47 code of language spoken in the input. If multiple languages are detected, this will return language code of most predominant spoken language. If no language is detected, this will be null diarized_transcript: oneOf: - $ref: '#/components/schemas/Sarvam_Model_API_DiarizedTranscript' - type: 'null' description: Diarized transcript of the provided speech language_probability: type: - number - 'null' format: double description: >- Float value (0.0 to 1.0) indicating the probability of the detected language being correct. Higher values indicate higher confidence. **When it returns a value:** - When `language_code` is not provided in the request - When `language_code` is set to `unknown` **When it returns null:** - When a specific `language_code` is provided (language detection is skipped) The parameter is always present in the response. required: - request_id - transcript - language_code title: Sarvam_Model_API_SpeechToTextTranslateResponse Sarvam_Model_API_ErrorCode: type: string enum: - 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 title: Sarvam_Model_API_ErrorCode Sarvam_Model_API_ErrorDetails: type: object properties: request_id: type: - string - 'null' message: type: string description: Message describing the error code: $ref: '#/components/schemas/Sarvam_Model_API_ErrorCode' description: >- Error code for the specific error that has occurred. Refer to the error code documentation for more details. required: - request_id - message - code title: Sarvam_Model_API_ErrorDetails Sarvam_Model_API_ErrorMessage: type: object properties: error: $ref: '#/components/schemas/Sarvam_Model_API_ErrorDetails' description: Error details required: - error title: Sarvam_Model_API_ErrorMessage securitySchemes: ApiKeyAuth: type: apiKey in: header name: api-subscription-key ``` ## Examples **Request** ```json { "file": "" } ``` **Response** ```json { "request_id": "20240615_1a2b3c4d-5678-90ab-cdef-1234567890ab", "transcript": "Good morning everyone, let's start the project update meeting.", "language_code": "en-IN", "diarized_transcript": { "entries": [ { "transcript": "Good morning everyone,", "start_time_seconds": 0, "end_time_seconds": 3.2, "speaker_id": "speaker_1" }, { "transcript": "let's start the project update meeting.", "start_time_seconds": 3.3, "end_time_seconds": 7.5, "speaker_id": "speaker_2" } ] }, "language_probability": 0.98 } ``` **SDK Code** ```typescript import { SarvamAIClient } from "sarvamai"; async function main() { const client = new SarvamAIClient({ apiSubscriptionKey: "YOUR_API_KEY_HERE", }); await client.speechToText.translate(, {}); } main(); ``` ```python from sarvamai import SarvamAI client = SarvamAI( api_subscription_key="YOUR_API_KEY_HERE", ) client.speech_to_text.translate( file="example_file", ) ``` ```go package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://api.sarvam.ai/speech-to-text-translate" payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"; filename=\"meeting_recording.wav\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"input_audio_codec\"\r\n\r\n\r\n-----011000010111000001101001--\r\n") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("api-subscription-key", "") req.Header.Add("Content-Type", "multipart/form-data; boundary=---011000010111000001101001") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby require 'uri' require 'net/http' url = URI("https://api.sarvam.ai/speech-to-text-translate") 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"] = 'multipart/form-data; boundary=---011000010111000001101001' request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"; filename=\"meeting_recording.wav\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"input_audio_codec\"\r\n\r\n\r\n-----011000010111000001101001--\r\n" response = http.request(request) puts response.read_body ``` ```java import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://api.sarvam.ai/speech-to-text-translate") .header("api-subscription-key", "") .header("Content-Type", "multipart/form-data; boundary=---011000010111000001101001") .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"; filename=\"meeting_recording.wav\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"input_audio_codec\"\r\n\r\n\r\n-----011000010111000001101001--\r\n") .asString(); ``` ```php request('POST', 'https://api.sarvam.ai/speech-to-text-translate', [ 'multipart' => [ [ 'name' => 'file', 'filename' => 'meeting_recording.wav', 'contents' => null ] ] 'headers' => [ 'api-subscription-key' => '', ], ]); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("https://api.sarvam.ai/speech-to-text-translate"); var request = new RestRequest(Method.POST); request.AddHeader("api-subscription-key", ""); request.AddParameter("multipart/form-data; boundary=---011000010111000001101001", "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"file\"; filename=\"meeting_recording.wav\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\n\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"input_audio_codec\"\r\n\r\n\r\n-----011000010111000001101001--\r\n", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let headers = [ "api-subscription-key": "", "Content-Type": "multipart/form-data; boundary=---011000010111000001101001" ] let parameters = [ [ "name": "file", "fileName": "meeting_recording.wav" ], [ "name": "prompt", "value": ], [ "name": "model", "value": ], [ "name": "input_audio_codec", "value": ] ] let boundary = "---011000010111000001101001" var body = "" var error: NSError? = nil for param in parameters { let paramName = param["name"]! body += "--\(boundary)\r\n" body += "Content-Disposition:form-data; name=\"\(paramName)\"" if let filename = param["fileName"] { let contentType = param["content-type"]! let fileContent = String(contentsOfFile: filename, encoding: String.Encoding.utf8) if (error != nil) { print(error as Any) } body += "; filename=\"\(filename)\"\r\n" body += "Content-Type: \(contentType)\r\n\r\n" body += fileContent } else if let paramValue = param["value"] { body += "\r\n\r\n\(paramValue)" } } let request = NSMutableURLRequest(url: NSURL(string: "https://api.sarvam.ai/speech-to-text-translate")! 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() ```