Speech to Text
This API transcribes audio input into text in the same language using Sarvam’s speech-to-text models. It is suitable for use cases that require transcripts in the native language.
The recommended input audio size is below 5 minutes.
Headers
Your unique subscription key for authenticating requests to the Sarvam AI Speech-to-Text API. Here are the steps to get your api key
Body
The audio file to transcribe. Supported formats are WAV (.wav) and MP3 (.mp3).
The API works best with audio files sampled at 16kHz. If the audio contains multiple channels, they will be merged into a single channel.
Specifies the model to use for speech-to-text conversion.
Note:- Default model is saarika:v2
saarika:v1, saarika:v2, saarika:flash Specifies the language of the input audio. This parameter is required to ensure accurate transcription.
For the saarika:v1 model, this parameter is mandatory.
For the saarika:v2 model, it is optional.
unknown: Use this when the language is not known; the API will detect it automatically.
Note:- that the saarika:v1 model does not support unknown language code.
unknown, hi-IN, bn-IN, kn-IN, ml-IN, mr-IN, od-IN, pa-IN, ta-IN, te-IN, en-IN, gu-IN Enables timestamps in the response. If set to true, the response will include timestamps in the transcript.
Enables speaker diarization, which identifies and separates different speakers in the audio. When set to true, the API will provide speaker-specific segments in the response. Note: This parameter is currently in Beta mode.
Number of speakers to be detected in the audio. This is used when with_diarization is set to true.
Response
The transcribed text from the provided audio file.
Contains timestamps for the transcribed text. This field is included only if with_timestamps is set to true
Diarized transcript of the provided speech
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