Transcribe Audio

Convert audio files to text in the original language.

POST /v1/audio/transcriptions

cURL

curl https://gateway.bud.studio/v1/audio/transcriptions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@audio.mp3" \
  -F "model=whisper-1" \
  -F "language=en" \
  -F "response_format=json"

200

{
  "text": "Hello, this is a transcribed audio message."
}

cURL

curl https://gateway.bud.studio/v1/audio/transcriptions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "file=@audio.mp3" \
  -F "model=whisper-1" \
  -F "language=en" \
  -F "response_format=json"

200

{
  "text": "Hello, this is a transcribed audio message."
}

Headers

Parameter	Type	Required	Description
Authorization	string	Yes	Bearer authentication header
Content-Type	string	Yes	Must be multipart/form-data

Form Data

Parameter	Type	Required	Description
file	file	Yes	Audio file to transcribe (max 25MB). Supported formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, webm
model	string	Yes	Model identifier (e.g., whisper-1)
language	string	No	ISO-639-1 language code of the input audio
prompt	string	No	Optional text to guide the model’s style or continue previous audio segment
response_format	string	No	Format of the transcript output: json, text, srt, verbose_json, vtt. Default: json
temperature	float	No	Sampling temperature (0.0 to 1.0). Default: 0.0
timestamp_granularities	array	No	Timestamp detail level: word, segment. Default: segment

Supported Providers

OpenAI

Industry-leading Whisper models for high-accuracy transcription

Azure OpenAI

Enterprise-grade Whisper model support with global availability

Fireworks

Fast and efficient Whisper v3 and v3-turbo models