> ## Documentation Index
> Fetch the complete documentation index at: https://smallestai-ff1e543d.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Age & gender detection

> 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 theme={null}
curl --request POST \
  --url "https://api.smallest.ai/waves/v1/pulse/get_text?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 theme={null}
{
  "status": "success",
  "transcription": "Hello world.",
  "age": "adult",
  "gender": "male"
}
```