Batch - Start Job | Sarvam API Docs

from sarvamai import SarvamAI
client = SarvamAI(
    api_subscription_key="YOUR_API_KEY_HERE",
)
client.speech_to_text_translate_job.start(
    job_id="job_id",
)

{
  "job_state": "Accepted",
  "created_at": "2024-06-10T09:15:00Z",
  "updated_at": "2024-06-10T09:15:00Z",
  "job_id": "a1b2c3d4-e5f6-7890-ab12-cd34ef567890",
  "storage_container_type": "Azure",
  "total_files": 12,
  "successful_files_count": 0,
  "failed_files_count": 0,
  "error_message": "",
  "job_details": [
    {
      "inputs": [
        {
          "file_name": "interview_recording_01.wav",
          "file_id": "file-1234567890abcdef"
        }
      ],
      "outputs": [
        {
          "file_name": "interview_recording_01_transcript.txt",
          "file_id": "file-abcdef1234567890"
        }
      ],
      "state": "Success"
    }
  ]
}

Start processing a speech to text translate bulk job after all audio files have been uploaded

Authentication

api-subscription-keystring

API Key authentication via header

Path parameters

job_idstringRequired

The unique identifier of the job

Headers

api-subscription-keystringOptionalDefaults to

Your unique subscription key for authenticating requests to the Sarvam AI Speech-to-Text API. Here are the steps to get your api key

Query parameters

ptu_idinteger or nullOptional

Response

Successful Response

job_stateenum

Job State

Allowed values:

created_atstring

Created At

updated_atstring

Updated At

job_idstring

Job Id

storage_container_typeenum

Storage Container Type

Allowed values:

total_filesintegerDefaults to 0

Total Files

successful_files_countintegerDefaults to 0

Success Count

failed_files_countintegerDefaults to 0

Failed Count

error_messagestringDefaults to

Error Message

job_detailslist of objects

Job details at file level.

Errors

400

Bad Request Error

403

Forbidden Error

422

Unprocessable Entity Error

429

Too Many Requests Error

500

Internal Server Error

503

Service Unavailable Error