***

title: Age & gender detection
description: Predict demographic attributes alongside every transcription
-------------------------------------------------------------------------

<Badge color="green">
  Pre-Recorded
</Badge>

## Enabling age & gender detection

Append `age_detection=true` and/or `gender_detection=true` to your Pulse STT query string. You can toggle them independently as well.

### Sample request

```bash
curl --request POST \
  --url "https://waves-api.smallest.ai/api/v1/pulse/get_text?model=pulse&language=en&age_detection=true&gender_detection=true" \
  --header "Authorization: Bearer $SMALLEST_API_KEY" \
  --header "Content-Type: audio/wav" \
  --data-binary "@/path/to/audio.wav"
```

<Note>
  Age and gender detection are currently supported only for Pre-Recorded API. Real-Time API support is coming soon.
</Note>

## Output format & field of interest

Responses include top-level `age` (`infant`, `teenager`, `adult`, `old`) and `gender` (`male`, `female`) fields that describe the dominant speaker in the processed segment. Store these fields next to each transcript to power demographic analytics or routing logic.

### Sample response

```json
{
  "status": "success",
  "transcription": "Hello world.",
  "age": "adult",
  "gender": "male"
}
```