Endpoints
Speech to Text
Endpoints
Speech to Text
Transcribes audio input to text in same language using Sarvam speech-to-text models. Suitable for use cases that require transcripts in native language.
The ideal input audio size is below 5 mins
POST
/
speech-to-text
Headers
api-subscription-key
string
default: Your subscription key
Body
multipart/form-data
file
file
requiredThe audio file to transcribe. Supported formats are wave (.wav) and MPEG-3 (.mp3). Works best at 16kHz. Multiple channels will be merged.
language_code
enum<string>
requiredLanguage code
Available options:
hi-IN, bn-IN, kn-IN, ml-IN, mr-IN, od-IN, pa-IN, ta-IN, te-IN, gu-IN model
enum<string>
Model to be used for speech to text
Available options:
saarika:v1 with_timestamps
boolean
default: falseUse this to enable word level timestamps
Response
200 - application/json
transcript
string
requiredTranscript of the provided speech.
timestamps
object | null
Timestamps of words in the transcript.