STT Options

const transcription = await RunAnywhere.stt.transcribe(audio, {
  language: 'en',
  punctuation: true,
  wordTimestamps: true,
  diarization: false,
  translateToEnglish: false,
})

Fields

Field	Type	Default	Meaning
`language`	`string`	none, auto-detect	BCP-47 code such as `'en'`
`punctuation`	`boolean`	proto default	Insert punctuation and casing
`wordTimestamps`	`boolean`	proto default	Per-word timings
`diarization`	`boolean`	`false`	Attribute speech to speakers
`maxSpeakers`	`number`	none	Cap the speaker count
`translateToEnglish`	`boolean`	`false`	Translate rather than transcribe

Language

Leave language unset to auto-detect. Set it when you know the language: detection costs time and picks wrong on short clips.

Word timestamps

await RunAnywhere.stt.transcribe(audio, { wordTimestamps: true })

Use these for captions, or to seek a player to a spoken word. On a desktop app transcribing long recordings, this is what makes the transcript navigable.

Diarization

diarization: true labels speakers inside the transcription. For a standalone “who spoke when” answer, use the diarization namespace.

Translation

translateToEnglish: true returns English regardless of source language.

Long recordings

A desktop is the one platform where transcribing an hour of audio is reasonable. Word timestamps and diarization both cost extra time per minute of audio, so turn on only what the interface will actually show.

Getting Started

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Vibe Coding

Fields

Language

Word timestamps

Diarization

Translation

Long recordings

​Fields

​Language

​Word timestamps

​Diarization

​Translation

​Long recordings

Fields

Language

Word timestamps

Diarization

Translation

Long recordings