Transcribe Audio

Transcribes audio into the input language. Follows the OpenAI Audio API spec: https://platform.openai.com/docs/api-reference/audio/create-transcription

curl -X POST https://api.inference.nebul.io/v1/audio/transcriptions \-H "Authorization: Bearer sk-1234" \-F "file=@audio.mp3" \-F "model=nvidia/parakeet-tdt-0.6b-v3" \-F "language=en" \-F "response_format=json"

Authorization

X-API-Key<token>

Project-scoped Nebul API key. Also accepted as Authorization: Bearer <key>.

In: header

Request Body

multipart/form-data

TypeScript Definitions

Use the request body type in TypeScript.

file*array<>

The audio file to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.

model*Model

The model to use for transcription.

Length1 <= length

language?|

The language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency.

prompt?|

An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.

response_format?|

The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.

Default"json"

temperature?|

The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

Default0

timestamp_granularities?array<string>|

JSON array of timestamp granularities to include. Options: ["word"], ["segment"], or ["word", "segment"].

Response Body

`application/json`

curl -X POST "https://example.com/transcribe" \  -F file="[    \"string\"  ]" \  -F model="string"

null

Authorization

Request Body

Response Body

200application/json

400application/json

401application/json

422application/json

`application/json`

`application/json`