OMomnistack-sh
Audio

Create transcription

Changed on

Transcribes audio into the input language.

Returns a transcription object in json, diarized_json, or verbose_json format, plain text in text, srt, or vtt format, or a stream of transcript events. Supported formats depend on the model.

post/audio/transcriptions

Request

  • Base URL
    https://api.openai.com/v1
  • URL
    https://api.openai.com/v1/audio/transcriptions
  • Auth
    HTTP bearer

Request body multipart/form-data

filestring binary required

The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. The request must include enough format metadata for the file to be identified. We recommend an extension-bearing filename and an appropriate content type.

languagestring

The language of the input audio. Supplying the input language in ISO-639-1 (e.g. en) format will improve accuracy and latency.

languagesstring[]

Possible languages of the input audio, in ISO-639-1 format. Supported by gpt-transcribe.

keywordsstring[]

Words or phrases to guide transcription of the input audio. Supported by gpt-transcribe.

promptstring

An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language. This field is not supported when using gpt-4o-transcribe-diarize.

response_format'json' | 'text' | 'srt' | 'verbose_json' | 'vtt' | 'diarized_json'

The format of the output, in one of these options: json, text, srt, verbose_json, vtt, or diarized_json. For gpt-4o-transcribe and gpt-4o-mini-transcribe, the only supported format is json. For gpt-4o-transcribe-diarize, the supported formats are json, text, and diarized_json, with diarized_json required to receive speaker annotations.

temperaturenumber

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. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.

includeTranscriptionInclude[]

Additional information to include in the transcription response. logprobs will return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. logprobs only works with response_format set to json and only with the models gpt-4o-transcribe, gpt-4o-mini-transcribe, and gpt-4o-mini-transcribe-2025-12-15. This field is not supported when using gpt-4o-transcribe-diarize.

timestamp_granularitiesstring[]

The timestamp granularities to populate for this transcription. 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. This option is not available for gpt-4o-transcribe-diarize.

streamboolean nullable

If set to true, the model response data will be streamed to the client as it is generated using server-sent events. See the Streaming section of the Speech-to-Text guide for more information.

Note: Streaming is not supported for the whisper-1 model and will be ignored.

known_speaker_namesstring[]

Optional list of speaker names that correspond to the audio samples provided in known_speaker_references[]. Each entry should be a short identifier (for example customer or agent). Up to 4 speakers are supported.

known_speaker_referencesstring[]

Optional list of audio samples (as data URLs) that contain known speaker references matching known_speaker_names[]. Each sample must be between 2 and 10 seconds, and can use any of the same input audio formats supported by file.

Response

OK

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OR

Changes

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