Create Transcription

Transcribes audio into the input language.

Options

File

The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.

Model

ID of the model to use. The options are gpt-4o-transcribe, gpt-4o-mini-transcribe, and whisper-1 (which is powered by our open source Whisper V2 model).

Set Language

Enable to set the optional field Language

Language

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

Set Prompt

Enable to set the optional field Prompt

Prompt

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

Set Response Format

Enable to set the optional field Response Format

Response Format

The format of the output, in one of these options: json, text, srt, verbose_json, or vtt. For gpt-4o-transcribe and gpt-4o-mini-transcribe, the only supported format is json.

Set Temperature

Enable to set the optional field Temperature

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

Set Stream

Enable to set the optional field Stream

Stream

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.

Set Chunking Strategy

Enable to set the optional field Chunking Strategy

Chunking Strategy

Controls how the audio is cut into chunks. When set to "auto", the server first normalizes loudness and then uses voice activity detection (VAD) to choose boundaries. server_vad object can be provided to tweak VAD detection parameters manually. If unset, the audio is transcribed as a single block.

Set Timestamp Granularities

Enable to set the optional field Timestamp Granularities

Timestamp Granularities

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.

Set Include

Enable to set the optional field Include

Include

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 and gpt-4o-mini-transcribe.

Result Format

Specify how the response should be mapped to the table output. The following formats are available:

Structured Table: Returns a parsed table with data split into rows and columns.

• Text: The transcribed text.
• Logprobs: The log probabilities of the tokens in the transcription. Only returned with the models gpt-4o-transcribe and gpt-4o-mini-transcribe if logprobs is added to the include array.
• Usage: Usage statistics for models billed by audio input duration.
• Language: The language of the input audio.
• Duration: The duration of the input audio.
• Words: Extracted words and their corresponding timestamps.
• Segments: Segments of the transcribed text and their corresponding details.

Raw Response: Returns the raw response in a single row with the following columns:

• body: Response body
• status: HTTP status code

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