Timestamps & Speakers

Timestamp and speaker information in transcription results.

Segment timestamps

Each segment includes timestamps:

{
  "id": 0,
  "start_time": 0.0,
  "end_time": 3.2,
  "duration": 3.2,
  "text": "The weather is nice today",
  "confidence": 0.95
}

Field	Type	Description
`id`	number	Segment index (from 0)
`start_time`	number	Start time in seconds
`end_time`	number	End time in seconds
`duration`	number	Duration in seconds
`text`	string	Transcribed text
`confidence`	number	Confidence score (0–1, 3 decimal places)

Range: 0 to 1

3 decimal places

Calculated from 1 - no_speech_prob when upstream provides it

After slicing, timestamps are aggregated to global time. start_time and end_time are relative to the original audio, not chunk-internal time.

{
  "summary": {
    "total_duration": 120.5,
    "total_speech_duration": 95.3,
    "overall_speech_ratio": 0.79,
    "num_segments": 45
  }
}

Field	Description
`total_duration`	Total audio duration (seconds)
`total_speech_duration`	Actual speech duration (seconds)
`overall_speech_ratio`	Speech ratio
`num_segments`	Number of segments

{
  "metadata": {
    "language": "zh",
    "model": "whisper-large-v3-turbo",
    "chunk_count": 3,
    "audio_duration_seconds": 120.5
  }
}

Speaker diarization is not available in the current version and is on the roadmap.

::callout{icon="i-lucide-triangle-alert" color="amber"} Current segments do not include a speaker field. Do not rely on speaker information. ::

Timestamp precision depends on the upstream model and slicing granularity

Timestamps at slice boundaries are corrected during aggregation

Short speech segments (<1s) may have less precise timestamps

Transcribe Audio — submit a job

Subtitles — generate subtitles from timestamps

Batch Jobs API — API reference