Transcription

Converts the given audio file to text.

Create Transcription

Creates a transcription for the audio file.

Azure OpenAI

Request

POST https://api.core42.ai/openai/deployments/whisper/audio/transcriptions

OpenAI

Request

POST https://api.core42.ai/v1/audio/transcriptions

Request Parameters

Name	Required	Type	Description
file	true	file	Audio file object to transcribe. Supported formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.
model / deployment-id	true	string	Model ID to use for the request. Only whisper-1 is available. To transcribe a file larger than 25 MB, break it into chunks. Alternatively, you can use the Azure AI Speech batch transcription API if deploying on Azure openAI.
language	false	string	Language of the audio file. An input language in ISO-639-1 format will improve accuracy and latency. The supported languages are: Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese, and Welsh.
prompt	false	string	Optional text to guide the model's style or continue a previous audio segment. Ensure the prompt matches the audio language.
response_format	false	string	Format of the transcript output. Supported output formats: json, text, srt, verbose_json, and vtt.
temperature	false	number	The temperature controls randomness. The range is from 0 to 2. Lowering results in less random completion. As the temperature approaches zero, the model will become deterministic and repetitive. If the value approaches 0, the model tends to produce more predictable and deterministic responses. This means the generated text is more likely to adhere closely to the input prompt and follow a coherent narrative. If the value approaches to 2, it produces more randomness, resulting in responses that are less predictable and more diverse. This may lead to more creative outputs, reducing the coherence and relevance of the input.
timestamp_granularities	false	array	The timestamp granularities to populate for this transcription. Note: response_format must be set verbose_json to use timestamp granularities. Either or both of these options are supported: word, or segment. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.