All Implemented Interfaces:: com.openai.core.Params


public final class AudioTranscriptionCreateParams
 implements Params

Transcribes audio into the input language.

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description
`public final class`	`AudioTranscriptionCreateParams.Body`
`public final class`	`AudioTranscriptionCreateParams.Builder`	A builder for AudioTranscriptionCreateParams.
`public final class`	`AudioTranscriptionCreateParams.TimestampGranularity`

Field Summary

Fields
Modifier and Type	Field	Description

Constructor Summary

Constructors
Constructor	Description

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final ByteArray`	`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.
`final AudioModel`	`model()`	ID of the model to use.
`final Optional<String>`	`language()`	The language of the input audio.
`final Optional<String>`	`prompt()`	An optional text to guide the model's style or continue a previous audio segment.
`final Optional<AudioResponseFormat>`	`responseFormat()`	The format of the output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`.
`final Optional<Double>`	`temperature()`	The sampling temperature, between 0 and 1.
`final Optional<List<AudioTranscriptionCreateParams.TimestampGranularity>>`	`timestampGranularities()`	The timestamp granularities to populate for this transcription.
`final MultipartField<ByteArray>`	`_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.
`final MultipartField<AudioModel>`	`_model()`	ID of the model to use.
`final MultipartField<String>`	`_language()`	The language of the input audio.
`final MultipartField<String>`	`_prompt()`	An optional text to guide the model's style or continue a previous audio segment.
`final MultipartField<AudioResponseFormat>`	`_responseFormat()`	The format of the output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`.
`final MultipartField<Double>`	`_temperature()`	The sampling temperature, between 0 and 1.
`final MultipartField<List<AudioTranscriptionCreateParams.TimestampGranularity>>`	`_timestampGranularities()`	The timestamp granularities to populate for this transcription.
`final Headers`	`_additionalHeaders()`
`final QueryParams`	`_additionalQueryParams()`
`Headers`	`_headers()`	The full set of headers in the parameters, including both fixed and additional headers.
`QueryParams`	`_queryParams()`	The full set of query params in the parameters, including both fixed and additional query params.
`final AudioTranscriptionCreateParams.Builder`	`toBuilder()`
`Boolean`	`equals(Object other)`
`Integer`	`hashCode()`
`String`	`toString()`
`final static AudioTranscriptionCreateParams.Builder`	`builder()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
- Method Detail
  - file
```
 final ByteArray 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
```
 final AudioModel model()
```
    ID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.
  - language
```
 final Optional<String> language()
```
    The language of the input audio. Supplying the input language in ISO-639-1 (e.g. en) format will improve accuracy and latency.
  - prompt
```
 final Optional<String> prompt()
```
    An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.
  - responseFormat
```
 final Optional<AudioResponseFormat> responseFormat()
```
    The format of the output, in one of these options: json, text, srt, verbose_json, or vtt.
  - temperature
```
 final Optional<Double> 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.
  - timestampGranularities
```
 final Optional<List<AudioTranscriptionCreateParams.TimestampGranularity>> timestampGranularities()
```
    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.
  - _file
```
 final MultipartField<ByteArray> _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
```
 final MultipartField<AudioModel> _model()
```
    ID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.
  - _language
```
 final MultipartField<String> _language()
```
    The language of the input audio. Supplying the input language in ISO-639-1 (e.g. en) format will improve accuracy and latency.
  - _prompt
```
 final MultipartField<String> _prompt()
```
    An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.
  - _responseFormat
```
 final MultipartField<AudioResponseFormat> _responseFormat()
```
    The format of the output, in one of these options: json, text, srt, verbose_json, or vtt.
  - _temperature
```
 final MultipartField<Double> _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.
  - _timestampGranularities
```
 final MultipartField<List<AudioTranscriptionCreateParams.TimestampGranularity>> _timestampGranularities()
```
    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.
  - _additionalHeaders
```
 final Headers _additionalHeaders()
```
  - _additionalQueryParams
```
 final QueryParams _additionalQueryParams()
```
  - _headers
```
 Headers _headers()
```
    The full set of headers in the parameters, including both fixed and additional headers.
  - _queryParams
```
 QueryParams _queryParams()
```
    The full set of query params in the parameters, including both fixed and additional query params.
  - toBuilder
```
 final AudioTranscriptionCreateParams.Builder toBuilder()
```
  - equals
```
 Boolean equals(Object other)
```
  - hashCode
```
 Integer hashCode()
```
  - toString
```
 String toString()
```
  - builder
```
 final static AudioTranscriptionCreateParams.Builder builder()
```

Class AudioTranscriptionCreateParams

Nested Class Summary

Field Summary

Constructor Summary

Enum Constant Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Method Detail

file

model

language

prompt

responseFormat

temperature

timestampGranularities

_file

_model

_language

_prompt

_responseFormat

_temperature

_timestampGranularities

_additionalHeaders

_additionalQueryParams

_headers

_queryParams

toBuilder

equals

hashCode

toString

builder