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For podcast production, run AudioSilenceTrim before AudioNormalize. Removing leading and trailing silence first ensures the normalizer measures only program content, not dead air, which produces a more accurate loudness target.

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AudioTrimJob

Extracts a time range from an audio file, producing a shorter clip. Go method: Client.AudioTrim(ctx, job)

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Parameters

​
input
string
required
Path to the source audio file.
​
output
string
required
Path for the trimmed output file.
​
start
float64
required
Start time of the clip in seconds.
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end
float64
required
End time of the clip in seconds.

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Example

result, err := client.AudioTrim(ctx, &dpf.AudioTrimJob{
    Input:  "podcast.mp3",
    Output: "segment.mp3",
    Start:  60.0,   // seconds
    End:    150.0,  // seconds
})
if err != nil {
    log.Fatal(err)
}
log.Printf("Success in %dms", result.ElapsedMs)

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AudioNormalizeJob

Normalizes audio loudness to a target LUFS level using integrated loudness measurement (EBU R128). Go method: Client.AudioNormalize(ctx, job)

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Parameters

​
input
string
required
Path to the source audio file.
​
output
string
required
Path for the normalized output file.
​
target_lufs
float64
required
Target integrated loudness in LUFS. Example: -14.0. See the table below for platform recommendations.
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threshold_lufs
float64
Loudness gate threshold in LUFS. Segments quieter than this value are excluded from the integrated loudness measurement. Example: -50.0.

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LUFS targets by platform

TargetPlatformStandard
-14 LUFSYouTubeYouTube loudness normalization
-16 LUFSSpotifySpotify loudness normalization
-23 LUFSBroadcastEBU R128 broadcast standard

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Example

result, err := client.AudioNormalize(ctx, &dpf.AudioNormalizeJob{
    Input:      "audio.mp3",
    Output:     "audio_normalized.mp3",
    TargetLUFS: -14.0,
    Threshold:  func(f float64) *float64 { return &f }(-50.0),
})
if err != nil {
    log.Fatal(err)
}
log.Printf("Success in %dms", result.ElapsedMs)

​
AudioSilenceTrimJob

Removes leading and trailing silence from an audio file based on a decibel threshold. Go method: Client.AudioSilenceTrim(ctx, job)

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Parameters

​
input
string
required
Path to the source audio file.
​
output
string
required
Path for the silence-trimmed output file.
​
threshold_db
float64
Silence detection threshold in dBFS. Audio below this level is treated as silence. Defaults to -40. Example: -40.0.
​
min_duration
float64
Minimum duration in seconds that a silent segment must have to be removed. Defaults to 0.5. Use a higher value to avoid cutting short natural pauses.

​
Example

result, err := client.AudioSilenceTrim(ctx, &dpf.AudioSilenceTrimJob{
    Input:       "audio_with_silence.mp3",
    Output:      "audio_clean.mp3",
    ThresholdDB: func(f float64) *float64 { return &f }(-40.0), // dB
    MinDuration: func(f float64) *float64 { return &f }(0.5),   // seconds
})
if err != nil {
    log.Fatal(err)
}
log.Printf("Success in %dms", result.ElapsedMs)

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