Audio

Domain Types

Audio Model

type AudioModel string
- const AudioModelWhisper1 AudioModel = "whisper-1"
- const AudioModelGPT4oTranscribe AudioModel = "gpt-4o-transcribe"
- const AudioModelGPT4oMiniTranscribe AudioModel = "gpt-4o-mini-transcribe"
- const AudioModelGPT4oMiniTranscribe2025_12_15 AudioModel = "gpt-4o-mini-transcribe-2025-12-15"
- const AudioModelGPT4oTranscribeDiarize AudioModel = "gpt-4o-transcribe-diarize"

Audio Response Format

type AudioResponseFormat string

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.
- const AudioResponseFormatJSON AudioResponseFormat = "json"
- const AudioResponseFormatText AudioResponseFormat = "text"
- const AudioResponseFormatSRT AudioResponseFormat = "srt"
- const AudioResponseFormatVerboseJSON AudioResponseFormat = "verbose_json"
- const AudioResponseFormatVTT AudioResponseFormat = "vtt"
- const AudioResponseFormatDiarizedJSON AudioResponseFormat = "diarized_json"

Transcriptions

Create transcription

client.Audio.Transcriptions.New(ctx, body) (*AudioTranscriptionNewResponseUnion, error)

post /audio/transcriptions

Create transcription

Parameters

body AudioTranscriptionNewParams
- File param.Field[Reader]
  
  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 param.Field[AudioModel]
  
  ID of the model to use. The options are gpt-4o-transcribe, gpt-4o-mini-transcribe, gpt-4o-mini-transcribe-2025-12-15, whisper-1 (which is powered by our open source Whisper V2 model), and gpt-4o-transcribe-diarize.
  - string
  - type AudioModel string
    - const AudioModelWhisper1 AudioModel = "whisper-1"
    - const AudioModelGPT4oTranscribe AudioModel = "gpt-4o-transcribe"
    - const AudioModelGPT4oMiniTranscribe AudioModel = "gpt-4o-mini-transcribe"
    - const AudioModelGPT4oMiniTranscribe2025_12_15 AudioModel = "gpt-4o-mini-transcribe-2025-12-15"
    - const AudioModelGPT4oTranscribeDiarize AudioModel = "gpt-4o-transcribe-diarize"
- ChunkingStrategy param.Field[any]
- Include param.Field[[]TranscriptionInclude]
  
  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.
  - const TranscriptionIncludeLogprobs TranscriptionInclude = "logprobs"
- KnownSpeakerNames param.Field[[]string]
  
  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.
- KnownSpeakerReferences param.Field[[]string]
  
  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.
- Language param.Field[string]
  
  The language of the input audio. Supplying the input language in ISO-639-1 (e.g. en) format will improve accuracy and latency.
- Prompt param.Field[string]
  
  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.
- ResponseFormat param.Field[AudioResponseFormat]
  
  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.
- ``
- Temperature param.Field[float64]
  
  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 param.Field[[]string]
  
  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.
  - const AudioTranscriptionNewParamsTimestampGranularityWord AudioTranscriptionNewParamsTimestampGranularity = "word"
  - const AudioTranscriptionNewParamsTimestampGranularitySegment AudioTranscriptionNewParamsTimestampGranularity = "segment"

Returns

type AudioTranscriptionNewResponseUnion interface{…}

Represents a transcription response returned by model, based on the provided input.
- type Transcription struct{…}
  
  Represents a transcription response returned by model, based on the provided input.
  - Text string
    
    The transcribed text.
  - Logprobs []TranscriptionLogprob
    
    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.
    - Token string
      
      The token in the transcription.
    - Bytes []float64
      
      The bytes of the token.
    - Logprob float64
      
      The log probability of the token.
  - Usage TranscriptionUsageUnion
    
    Token usage statistics for the request.
    - type TranscriptionUsageTokens struct{…}
      
      Usage statistics for models billed by token usage.
      - InputTokens int64
        
        Number of input tokens billed for this request.
      - OutputTokens int64
        
        Number of output tokens generated.
      - TotalTokens int64
        
        Total number of tokens used (input + output).
      - Type Tokens
        
        The type of the usage object. Always tokens for this variant.
        
        const TokensTokens Tokens = "tokens"
      - InputTokenDetails TranscriptionUsageTokensInputTokenDetails
        
        Details about the input tokens billed for this request.
        
        AudioTokens int64
        
        Number of audio tokens billed for this request.
        
        TextTokens int64
        
        Number of text tokens billed for this request.
    - type TranscriptionUsageDuration struct{…}
      
      Usage statistics for models billed by audio input duration.
      - Seconds float64
        
        Duration of the input audio in seconds.
      - Type Duration
        
        The type of the usage object. Always duration for this variant.
        
        const DurationDuration Duration = "duration"
- type TranscriptionVerbose struct{…}
  
  Represents a verbose json transcription response returned by model, based on the provided input.
  - Duration float64
    
    The duration of the input audio.
  - Language string
    
    The language of the input audio.
  - Text string
    
    The transcribed text.
  - Segments []TranscriptionSegment
    
    Segments of the transcribed text and their corresponding details.
    - ID int64
      
      Unique identifier of the segment.
    - AvgLogprob float64
      
      Average logprob of the segment. If the value is lower than -1, consider the logprobs failed.
    - CompressionRatio float64
      
      Compression ratio of the segment. If the value is greater than 2.4, consider the compression failed.
    - End float64
      
      End time of the segment in seconds.
    - NoSpeechProb float64
      
      Probability of no speech in the segment. If the value is higher than 1.0 and the avg_logprob is below -1, consider this segment silent.
    - Seek int64
      
      Seek offset of the segment.
    - Start float64
      
      Start time of the segment in seconds.
    - Temperature float64
      
      Temperature parameter used for generating the segment.
    - Text string
      
      Text content of the segment.
    - Tokens []int64
      
      Array of token IDs for the text content.
  - Usage TranscriptionVerboseUsage
    
    Usage statistics for models billed by audio input duration.
    - Seconds float64
      
      Duration of the input audio in seconds.
    - Type Duration
      
      The type of the usage object. Always duration for this variant.
      - const DurationDuration Duration = "duration"
  - Words []TranscriptionWord
    
    Extracted words and their corresponding timestamps.
    - End float64
      
      End time of the word in seconds.
    - Start float64
      
      Start time of the word in seconds.
    - Word string
      
      The text content of the word.

Example

package main

import (
  "bytes"
  "context"
  "fmt"
  "io"

  "github.com/openai/openai-go"
  "github.com/openai/openai-go/option"
)

func main() {
  client := openai.NewClient(
    option.WithAPIKey("My API Key"),
  )
  transcription, err := client.Audio.Transcriptions.New(context.TODO(), openai.AudioTranscriptionNewParams{
    File: io.Reader(bytes.NewBuffer([]byte("Example data"))),
    Model: openai.AudioModelGPT4oTranscribe,
  })
  if err != nil {
    panic(err.Error())
  }
  fmt.Printf("%+v\n", transcription)
}

Response

{
  "text": "text",
  "logprobs": [
    {
      "token": "token",
      "bytes": [
        0
      ],
      "logprob": 0
    }
  ],
  "usage": {
    "input_tokens": 0,
    "output_tokens": 0,
    "total_tokens": 0,
    "type": "tokens",
    "input_token_details": {
      "audio_tokens": 0,
      "text_tokens": 0
    }
  }
}

Domain Types

Transcription

type Transcription struct{…}

Represents a transcription response returned by model, based on the provided input.
- Text string
  
  The transcribed text.
- Logprobs []TranscriptionLogprob
  
  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.
  - Token string
    
    The token in the transcription.
  - Bytes []float64
    
    The bytes of the token.
  - Logprob float64
    
    The log probability of the token.
- Usage TranscriptionUsageUnion
  
  Token usage statistics for the request.
  - type TranscriptionUsageTokens struct{…}
    
    Usage statistics for models billed by token usage.
    - InputTokens int64
      
      Number of input tokens billed for this request.
    - OutputTokens int64
      
      Number of output tokens generated.
    - TotalTokens int64
      
      Total number of tokens used (input + output).
    - Type Tokens
      
      The type of the usage object. Always tokens for this variant.
      - const TokensTokens Tokens = "tokens"
    - InputTokenDetails TranscriptionUsageTokensInputTokenDetails
      
      Details about the input tokens billed for this request.
      - AudioTokens int64
        
        Number of audio tokens billed for this request.
      - TextTokens int64
        
        Number of text tokens billed for this request.
  - type TranscriptionUsageDuration struct{…}
    
    Usage statistics for models billed by audio input duration.
    - Seconds float64
      
      Duration of the input audio in seconds.
    - Type Duration
      
      The type of the usage object. Always duration for this variant.
      - const DurationDuration Duration = "duration"

Transcription Diarized

type TranscriptionDiarized struct{…}

Represents a diarized transcription response returned by the model, including the combined transcript and speaker-segment annotations.
- Duration float64
  
  Duration of the input audio in seconds.
- Segments []TranscriptionDiarizedSegment
  
  Segments of the transcript annotated with timestamps and speaker labels.
  - ID string
    
    Unique identifier for the segment.
  - End float64
    
    End timestamp of the segment in seconds.
  - Speaker string
    
    Speaker label for this segment. When known speakers are provided, the label matches known_speaker_names[]. Otherwise speakers are labeled sequentially using capital letters (A, B, ...).
  - Start float64
    
    Start timestamp of the segment in seconds.
  - Text string
    
    Transcript text for this segment.
  - Type TranscriptTextSegment
    
    The type of the segment. Always transcript.text.segment.
    - const TranscriptTextSegmentTranscriptTextSegment TranscriptTextSegment = "transcript.text.segment"
- Task Transcribe
  
  The type of task that was run. Always transcribe.
  - const TranscribeTranscribe Transcribe = "transcribe"
- Text string
  
  The concatenated transcript text for the entire audio input.
- Usage TranscriptionDiarizedUsageUnion
  
  Token or duration usage statistics for the request.
  - TranscriptionDiarizedUsageTokens
    - InputTokens int64
      
      Number of input tokens billed for this request.
    - OutputTokens int64
      
      Number of output tokens generated.
    - TotalTokens int64
      
      Total number of tokens used (input + output).
    - Type Tokens
      
      The type of the usage object. Always tokens for this variant.
      - const TokensTokens Tokens = "tokens"
    - InputTokenDetails TranscriptionDiarizedUsageTokensInputTokenDetails
      
      Details about the input tokens billed for this request.
      - AudioTokens int64
        
        Number of audio tokens billed for this request.
      - TextTokens int64
        
        Number of text tokens billed for this request.
  - TranscriptionDiarizedUsageDuration
    - Seconds float64
      
      Duration of the input audio in seconds.
    - Type Duration
      
      The type of the usage object. Always duration for this variant.
      - const DurationDuration Duration = "duration"

Transcription Diarized Segment

type TranscriptionDiarizedSegment struct{…}

A segment of diarized transcript text with speaker metadata.
- ID string
  
  Unique identifier for the segment.
- End float64
  
  End timestamp of the segment in seconds.
- Speaker string
  
  Speaker label for this segment. When known speakers are provided, the label matches known_speaker_names[]. Otherwise speakers are labeled sequentially using capital letters (A, B, ...).
- Start float64
  
  Start timestamp of the segment in seconds.
- Text string
  
  Transcript text for this segment.
- Type TranscriptTextSegment
  
  The type of the segment. Always transcript.text.segment.
  - const TranscriptTextSegmentTranscriptTextSegment TranscriptTextSegment = "transcript.text.segment"

Transcription Include

type TranscriptionInclude string
- const TranscriptionIncludeLogprobs TranscriptionInclude = "logprobs"

Transcription Segment

type TranscriptionSegment struct{…}
- ID int64
  
  Unique identifier of the segment.
- AvgLogprob float64
  
  Average logprob of the segment. If the value is lower than -1, consider the logprobs failed.
- CompressionRatio float64
  
  Compression ratio of the segment. If the value is greater than 2.4, consider the compression failed.
- End float64
  
  End time of the segment in seconds.
- NoSpeechProb float64
  
  Probability of no speech in the segment. If the value is higher than 1.0 and the avg_logprob is below -1, consider this segment silent.
- Seek int64
  
  Seek offset of the segment.
- Start float64
  
  Start time of the segment in seconds.
- Temperature float64
  
  Temperature parameter used for generating the segment.
- Text string
  
  Text content of the segment.
- Tokens []int64
  
  Array of token IDs for the text content.

Transcription Stream Event

type TranscriptionStreamEventUnion interface{…}

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.
- type TranscriptionTextSegmentEvent struct{…}
  
  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.
  - ID string
    
    Unique identifier for the segment.
  - End float64
    
    End timestamp of the segment in seconds.
  - Speaker string
    
    Speaker label for this segment.
  - Start float64
    
    Start timestamp of the segment in seconds.
  - Text string
    
    Transcript text for this segment.
  - Type TranscriptTextSegment
    
    The type of the event. Always transcript.text.segment.
    - const TranscriptTextSegmentTranscriptTextSegment TranscriptTextSegment = "transcript.text.segment"
- type TranscriptionTextDeltaEvent struct{…}
  
  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.
  - Delta string
    
    The text delta that was additionally transcribed.
  - Type TranscriptTextDelta
    
    The type of the event. Always transcript.text.delta.
    - const TranscriptTextDeltaTranscriptTextDelta TranscriptTextDelta = "transcript.text.delta"
  - Logprobs []TranscriptionTextDeltaEventLogprob
    
    The log probabilities of the delta. Only included if you create a transcription with the include[] parameter set to logprobs.
    - Token string
      
      The token that was used to generate the log probability.
    - Bytes []int64
      
      The bytes that were used to generate the log probability.
    - Logprob float64
      
      The log probability of the token.
  - SegmentID string
    
    Identifier of the diarized segment that this delta belongs to. Only present when using gpt-4o-transcribe-diarize.
- type TranscriptionTextDoneEvent struct{…}
  
  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.
  - Text string
    
    The text that was transcribed.
  - Type TranscriptTextDone
    
    The type of the event. Always transcript.text.done.
    - const TranscriptTextDoneTranscriptTextDone TranscriptTextDone = "transcript.text.done"
  - Logprobs []TranscriptionTextDoneEventLogprob
    
    The log probabilities of the individual tokens in the transcription. Only included if you create a transcription with the include[] parameter set to logprobs.
    - Token string
      
      The token that was used to generate the log probability.
    - Bytes []int64
      
      The bytes that were used to generate the log probability.
    - Logprob float64
      
      The log probability of the token.
  - Usage TranscriptionTextDoneEventUsage
    
    Usage statistics for models billed by token usage.
    - InputTokens int64
      
      Number of input tokens billed for this request.
    - OutputTokens int64
      
      Number of output tokens generated.
    - TotalTokens int64
      
      Total number of tokens used (input + output).
    - Type Tokens
      
      The type of the usage object. Always tokens for this variant.
      - const TokensTokens Tokens = "tokens"
    - InputTokenDetails TranscriptionTextDoneEventUsageInputTokenDetails
      
      Details about the input tokens billed for this request.
      - AudioTokens int64
        
        Number of audio tokens billed for this request.
      - TextTokens int64
        
        Number of text tokens billed for this request.

Transcription Text Delta Event

type TranscriptionTextDeltaEvent struct{…}

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.
- Delta string
  
  The text delta that was additionally transcribed.
- Type TranscriptTextDelta
  
  The type of the event. Always transcript.text.delta.
  - const TranscriptTextDeltaTranscriptTextDelta TranscriptTextDelta = "transcript.text.delta"
- Logprobs []TranscriptionTextDeltaEventLogprob
  
  The log probabilities of the delta. Only included if you create a transcription with the include[] parameter set to logprobs.
  - Token string
    
    The token that was used to generate the log probability.
  - Bytes []int64
    
    The bytes that were used to generate the log probability.
  - Logprob float64
    
    The log probability of the token.
- SegmentID string
  
  Identifier of the diarized segment that this delta belongs to. Only present when using gpt-4o-transcribe-diarize.

Transcription Text Done Event

type TranscriptionTextDoneEvent struct{…}

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.
- Text string
  
  The text that was transcribed.
- Type TranscriptTextDone
  
  The type of the event. Always transcript.text.done.
  - const TranscriptTextDoneTranscriptTextDone TranscriptTextDone = "transcript.text.done"
- Logprobs []TranscriptionTextDoneEventLogprob
  
  The log probabilities of the individual tokens in the transcription. Only included if you create a transcription with the include[] parameter set to logprobs.
  - Token string
    
    The token that was used to generate the log probability.
  - Bytes []int64
    
    The bytes that were used to generate the log probability.
  - Logprob float64
    
    The log probability of the token.
- Usage TranscriptionTextDoneEventUsage
  
  Usage statistics for models billed by token usage.
  - InputTokens int64
    
    Number of input tokens billed for this request.
  - OutputTokens int64
    
    Number of output tokens generated.
  - TotalTokens int64
    
    Total number of tokens used (input + output).
  - Type Tokens
    
    The type of the usage object. Always tokens for this variant.
    - const TokensTokens Tokens = "tokens"
  - InputTokenDetails TranscriptionTextDoneEventUsageInputTokenDetails
    
    Details about the input tokens billed for this request.
    - AudioTokens int64
      
      Number of audio tokens billed for this request.
    - TextTokens int64
      
      Number of text tokens billed for this request.

Transcription Text Segment Event

type TranscriptionTextSegmentEvent struct{…}

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.
- ID string
  
  Unique identifier for the segment.
- End float64
  
  End timestamp of the segment in seconds.
- Speaker string
  
  Speaker label for this segment.
- Start float64
  
  Start timestamp of the segment in seconds.
- Text string
  
  Transcript text for this segment.
- Type TranscriptTextSegment
  
  The type of the event. Always transcript.text.segment.
  - const TranscriptTextSegmentTranscriptTextSegment TranscriptTextSegment = "transcript.text.segment"

Transcription Verbose

type TranscriptionVerbose struct{…}

Represents a verbose json transcription response returned by model, based on the provided input.
- Duration float64
  
  The duration of the input audio.
- Language string
  
  The language of the input audio.
- Text string
  
  The transcribed text.
- Segments []TranscriptionSegment
  
  Segments of the transcribed text and their corresponding details.
  - ID int64
    
    Unique identifier of the segment.
  - AvgLogprob float64
    
    Average logprob of the segment. If the value is lower than -1, consider the logprobs failed.
  - CompressionRatio float64
    
    Compression ratio of the segment. If the value is greater than 2.4, consider the compression failed.
  - End float64
    
    End time of the segment in seconds.
  - NoSpeechProb float64
    
    Probability of no speech in the segment. If the value is higher than 1.0 and the avg_logprob is below -1, consider this segment silent.
  - Seek int64
    
    Seek offset of the segment.
  - Start float64
    
    Start time of the segment in seconds.
  - Temperature float64
    
    Temperature parameter used for generating the segment.
  - Text string
    
    Text content of the segment.
  - Tokens []int64
    
    Array of token IDs for the text content.
- Usage TranscriptionVerboseUsage
  
  Usage statistics for models billed by audio input duration.
  - Seconds float64
    
    Duration of the input audio in seconds.
  - Type Duration
    
    The type of the usage object. Always duration for this variant.
    - const DurationDuration Duration = "duration"
- Words []TranscriptionWord
  
  Extracted words and their corresponding timestamps.
  - End float64
    
    End time of the word in seconds.
  - Start float64
    
    Start time of the word in seconds.
  - Word string
    
    The text content of the word.

Transcription Word

type TranscriptionWord struct{…}
- End float64
  
  End time of the word in seconds.
- Start float64
  
  Start time of the word in seconds.
- Word string
  
  The text content of the word.

Translations

Create translation

client.Audio.Translations.New(ctx, body) (*Translation, error)

post /audio/translations

Create translation

Parameters

body AudioTranslationNewParams
- File param.Field[Reader]
  
  The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
- Model param.Field[AudioModel]
  
  ID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.
  - string
  - type AudioModel string
    - const AudioModelWhisper1 AudioModel = "whisper-1"
    - const AudioModelGPT4oTranscribe AudioModel = "gpt-4o-transcribe"
    - const AudioModelGPT4oMiniTranscribe AudioModel = "gpt-4o-mini-transcribe"
    - const AudioModelGPT4oMiniTranscribe2025_12_15 AudioModel = "gpt-4o-mini-transcribe-2025-12-15"
    - const AudioModelGPT4oTranscribeDiarize AudioModel = "gpt-4o-transcribe-diarize"
- Prompt param.Field[string]
  
  An optional text to guide the model's style or continue a previous audio segment. The prompt should be in English.
- ResponseFormat param.Field[AudioTranslationNewParamsResponseFormat]
  
  The format of the output, in one of these options: json, text, srt, verbose_json, or vtt.
  - const AudioTranslationNewParamsResponseFormatJSON AudioTranslationNewParamsResponseFormat = "json"
  - const AudioTranslationNewParamsResponseFormatText AudioTranslationNewParamsResponseFormat = "text"
  - const AudioTranslationNewParamsResponseFormatSRT AudioTranslationNewParamsResponseFormat = "srt"
  - const AudioTranslationNewParamsResponseFormatVerboseJSON AudioTranslationNewParamsResponseFormat = "verbose_json"
  - const AudioTranslationNewParamsResponseFormatVTT AudioTranslationNewParamsResponseFormat = "vtt"
- Temperature param.Field[float64]
  
  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.

Returns

type AudioTranslationNewResponse interface{…}
- type Translation struct{…}
  - Text string

Example

package main

import (
  "bytes"
  "context"
  "fmt"
  "io"

  "github.com/openai/openai-go"
  "github.com/openai/openai-go/option"
)

func main() {
  client := openai.NewClient(
    option.WithAPIKey("My API Key"),
  )
  translation, err := client.Audio.Translations.New(context.TODO(), openai.AudioTranslationNewParams{
    File: io.Reader(bytes.NewBuffer([]byte("Example data"))),
    Model: openai.AudioModelWhisper1,
  })
  if err != nil {
    panic(err.Error())
  }
  fmt.Printf("%+v\n", translation)
}

Response

{
  "text": "text"
}

Domain Types

Translation

type Translation struct{…}
- Text string

Translation Verbose

type TranslationVerbose struct{…}
- Duration float64
  
  The duration of the input audio.
- Language string
  
  The language of the output translation (always english).
- Text string
  
  The translated text.
- Segments []TranscriptionSegment
  
  Segments of the translated text and their corresponding details.
  - ID int64
    
    Unique identifier of the segment.
  - AvgLogprob float64
    
    Average logprob of the segment. If the value is lower than -1, consider the logprobs failed.
  - CompressionRatio float64
    
    Compression ratio of the segment. If the value is greater than 2.4, consider the compression failed.
  - End float64
    
    End time of the segment in seconds.
  - NoSpeechProb float64
    
    Probability of no speech in the segment. If the value is higher than 1.0 and the avg_logprob is below -1, consider this segment silent.
  - Seek int64
    
    Seek offset of the segment.
  - Start float64
    
    Start time of the segment in seconds.
  - Temperature float64
    
    Temperature parameter used for generating the segment.
  - Text string
    
    Text content of the segment.
  - Tokens []int64
    
    Array of token IDs for the text content.

Speech

Create speech

client.Audio.Speech.New(ctx, body) (*Response, error)

post /audio/speech

Create speech

Parameters

body AudioSpeechNewParams
- Input param.Field[string]
  
  The text to generate audio for. The maximum length is 4096 characters.
- Model param.Field[SpeechModel]
  
  One of the available TTS models: tts-1, tts-1-hd, gpt-4o-mini-tts, or gpt-4o-mini-tts-2025-12-15.
  - string
  - type SpeechModel string
    - const SpeechModelTTS1 SpeechModel = "tts-1"
    - const SpeechModelTTS1HD SpeechModel = "tts-1-hd"
    - const SpeechModelGPT4oMiniTTS SpeechModel = "gpt-4o-mini-tts"
    - const SpeechModelGPT4oMiniTTS2025_12_15 SpeechModel = "gpt-4o-mini-tts-2025-12-15"
- Voice param.Field[AudioSpeechNewParamsVoiceUnion]
  
  The voice to use when generating the audio. Supported built-in voices are alloy, ash, ballad, coral, echo, fable, onyx, nova, sage, shimmer, verse, marin, and cedar. You may also provide a custom voice object with an id, for example { "id": "voice_1234" }. Previews of the voices are available in the Text to speech guide.
  - string
  - type AudioSpeechNewParamsVoiceString2 string
    - const AudioSpeechNewParamsVoiceString2Alloy AudioSpeechNewParamsVoiceString2 = "alloy"
    - const AudioSpeechNewParamsVoiceString2Ash AudioSpeechNewParamsVoiceString2 = "ash"
    - const AudioSpeechNewParamsVoiceString2Ballad AudioSpeechNewParamsVoiceString2 = "ballad"
    - const AudioSpeechNewParamsVoiceString2Coral AudioSpeechNewParamsVoiceString2 = "coral"
    - const AudioSpeechNewParamsVoiceString2Echo AudioSpeechNewParamsVoiceString2 = "echo"
    - const AudioSpeechNewParamsVoiceString2Sage AudioSpeechNewParamsVoiceString2 = "sage"
    - const AudioSpeechNewParamsVoiceString2Shimmer AudioSpeechNewParamsVoiceString2 = "shimmer"
    - const AudioSpeechNewParamsVoiceString2Verse AudioSpeechNewParamsVoiceString2 = "verse"
    - const AudioSpeechNewParamsVoiceString2Marin AudioSpeechNewParamsVoiceString2 = "marin"
    - const AudioSpeechNewParamsVoiceString2Cedar AudioSpeechNewParamsVoiceString2 = "cedar"
  - type AudioSpeechNewParamsVoiceID struct{…}
    
    Custom voice reference.
    - ID string
      
      The custom voice ID, e.g. voice_1234.
- Instructions param.Field[string]
  
  Control the voice of your generated audio with additional instructions. Does not work with tts-1 or tts-1-hd.
- ResponseFormat param.Field[AudioSpeechNewParamsResponseFormat]
  
  The format to audio in. Supported formats are mp3, opus, aac, flac, wav, and pcm.
  - const AudioSpeechNewParamsResponseFormatMP3 AudioSpeechNewParamsResponseFormat = "mp3"
  - const AudioSpeechNewParamsResponseFormatOpus AudioSpeechNewParamsResponseFormat = "opus"
  - const AudioSpeechNewParamsResponseFormatAAC AudioSpeechNewParamsResponseFormat = "aac"
  - const AudioSpeechNewParamsResponseFormatFLAC AudioSpeechNewParamsResponseFormat = "flac"
  - const AudioSpeechNewParamsResponseFormatWAV AudioSpeechNewParamsResponseFormat = "wav"
  - const AudioSpeechNewParamsResponseFormatPCM AudioSpeechNewParamsResponseFormat = "pcm"
- Speed param.Field[float64]
  
  The speed of the generated audio. Select a value from 0.25 to 4.0. 1.0 is the default.
- StreamFormat param.Field[AudioSpeechNewParamsStreamFormat]
  
  The format to stream the audio in. Supported formats are sse and audio. sse is not supported for tts-1 or tts-1-hd.
  - const AudioSpeechNewParamsStreamFormatSSE AudioSpeechNewParamsStreamFormat = "sse"
  - const AudioSpeechNewParamsStreamFormatAudio AudioSpeechNewParamsStreamFormat = "audio"

Returns

type AudioSpeechNewResponse interface{…}

Example

package main

import (
  "context"
  "fmt"

  "github.com/openai/openai-go"
  "github.com/openai/openai-go/option"
)

func main() {
  client := openai.NewClient(
    option.WithAPIKey("My API Key"),
  )
  speech, err := client.Audio.Speech.New(context.TODO(), openai.AudioSpeechNewParams{
    Input: "input",
    Model: openai.SpeechModelTTS1,
    Voice: openai.AudioSpeechNewParamsVoiceUnion{
      OfAudioSpeechNewsVoiceString2: openai.String("alloy"),
    },
  })
  if err != nil {
    panic(err.Error())
  }
  fmt.Printf("%+v\n", speech)
}

Domain Types

Speech Model

type SpeechModel string
- const SpeechModelTTS1 SpeechModel = "tts-1"
- const SpeechModelTTS1HD SpeechModel = "tts-1-hd"
- const SpeechModelGPT4oMiniTTS SpeechModel = "gpt-4o-mini-tts"
- const SpeechModelGPT4oMiniTTS2025_12_15 SpeechModel = "gpt-4o-mini-tts-2025-12-15"

Voices

Voice Consents

go/resources/audio/index.md +4 −40

42 42

43**post** `/audio/transcriptions`43**post** `/audio/transcriptions`

44 44

~~45Transcribes audio into the input language.~~45Create transcription

~~47Returns a transcription object in `json`, `diarized_json`, or `verbose_json`~~

~~48format, or a stream of transcript events.~~

49 46

50### Parameters47### Parameters

51 48

73 70

74 - `const AudioModelGPT4oTranscribeDiarize AudioModel = "gpt-4o-transcribe-diarize"`71 - `const AudioModelGPT4oTranscribeDiarize AudioModel = "gpt-4o-transcribe-diarize"`

75 72

~~76 - `ChunkingStrategy param.Field[AudioTranscriptionNewParamsChunkingStrategyUnion]`~~73 - `ChunkingStrategy param.Field[any]`

78 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. Required when using `gpt-4o-transcribe-diarize` for inputs longer than 30 seconds.

~~80 - `Auto`~~

~~82 - `const AutoAuto Auto = "auto"`~~

~~84 - `AudioTranscriptionNewParamsChunkingStrategyVadConfig`~~

~~86 - `Type string`~~

~~88 Must be set to `server_vad` to enable manual chunking using server side VAD.~~

~~90 - `const AudioTranscriptionNewParamsChunkingStrategyVadConfigTypeServerVad AudioTranscriptionNewParamsChunkingStrategyVadConfigType = "server_vad"`~~

~~92 - `PrefixPaddingMs int64`~~

~~94 Amount of audio to include before the VAD detected speech (in~~

~~95 milliseconds).~~

~~97 - `SilenceDurationMs int64`~~

~~99 Duration of silence to detect speech stop (in milliseconds).~~

100 With shorter values the model will respond more quickly,

101 but may jump in on short pauses from the user.

~~102~~

103 - `Threshold float64`

~~104~~

105 Sensitivity threshold (0.0 to 1.0) for voice activity detection. A

106 higher threshold will require louder audio to activate the model, and

107 thus might perform better in noisy environments.

108 74

109 - `Include param.Field[[]TranscriptionInclude]`75 - `Include param.Field[[]TranscriptionInclude]`

110 76

1024 990

1025**post** `/audio/translations`991**post** `/audio/translations`

1026 992

1027Translates audio into English.993Create translation

1028 994

1029### Parameters995### Parameters

1030 996

1196 1162

1197**post** `/audio/speech`1163**post** `/audio/speech`

1198 1164

1199Generates audio from the input text.1165Create speech

~~1200~~

1201Returns the audio file content, or a stream of audio events.

1202 1166

1203### Parameters1167### Parameters

1204 1168

go/resources/audio/index.md 2026-07-07 08:02 UTC to 2026-07-09 20:58 UTC

Audio

Domain Types

Audio Model

Audio Response Format

Transcriptions

Create transcription

Parameters

Returns

Example

Response

Domain Types

Transcription

Transcription Diarized

Transcription Diarized Segment

Transcription Include

Transcription Segment

Transcription Stream Event

Transcription Text Delta Event

Transcription Text Done Event

Transcription Text Segment Event

Transcription Verbose

Transcription Word

Translations

Create translation

Parameters

Returns

Example

Response

Domain Types

Translation

Translation Verbose

Speech

Create speech

Parameters

Returns

Example

Domain Types

Speech Model

Voices

Voice Consents