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Audio

Transcriptions

Turn audio into text or text into audio.

Create transcription
$ openai audio:transcriptions create
POST/audio/transcriptions
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transcription: object { text, languages, logprobs, usage }

Represents a transcription response returned by model, based on the provided input.

transcription_diarized: object { duration, segments, task, 2 more }

Represents a diarized transcription response returned by the model, including the combined transcript and speaker-segment annotations.

transcription_diarized_segment: object { id, end, speaker, 3 more }

A segment of diarized transcript text with speaker metadata.

transcription_include: "logprobs"
transcription_language: object { code }

A language detected in transcribed audio.

transcription_segment: object { id, avg_logprob, compression_ratio, 7 more }
transcription_stream_event: TranscriptionTextSegmentEvent { id, end, speaker, 3 more } or TranscriptionTextDeltaEvent { delta, type, logprobs, segment_id } or TranscriptionTextDoneEvent { text, type, languages, 2 more }

Emitted when a diarized transcription returns a completed segment with speaker information. Only emitted when you create a transcription with stream set to true and response_format set to diarized_json.

transcription_text_delta_event: object { delta, type, logprobs, segment_id }

Emitted when there is an additional text delta. This is also the first event emitted when the transcription starts. Only emitted when you create a transcription with the Stream parameter set to true.

transcription_text_done_event: object { text, type, languages, 2 more }

Emitted when the transcription is complete. Contains the complete transcription text. Only emitted when you create a transcription with the Stream parameter set to true.

transcription_text_segment_event: object { id, end, speaker, 3 more }

Emitted when a diarized transcription returns a completed segment with speaker information. Only emitted when you create a transcription with stream set to true and response_format set to diarized_json.

transcription_verbose: object { duration, language, text, 3 more }

Represents a verbose json transcription response returned by model, based on the provided input.

transcription_word: object { end, start, word }