Timestamps & Speakers
Segment timestamps, confidence, and speaker information.
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) |
Confidence
- Range: 0 to 1
- 3 decimal places
- Calculated from
1 - no_speech_probwhen upstream provides it
Global timestamps
After slicing, timestamps are aggregated to global time. start_time and end_time are relative to the original audio, not chunk-internal time.
Summary statistics
{
"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
{
"metadata": {
"language": "zh",
"model": "whisper-large-v3-turbo",
"chunk_count": 3,
"audio_duration_seconds": 120.5
}
}
Speaker diarization
Speaker diarization is not available in the current version and is on the roadmap.
Current segments do not include a
speaker field. Do not rely on speaker information.Precision notes
- 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
Related
- Transcribe Audio — submit a job
- Subtitles — generate subtitles from timestamps
- Transcription API — API reference