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> For a complete documentation index, see https://docs.sarvam.ai/llms.txt.
> For full documentation content in one file, see https://docs.sarvam.ai/llms-full.txt.
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# How to adjust the loudness (volume)

> Controls the volume level of the generated audio (bulbul:v2 only).

> **Note**
>
> **Important:** The `loudness` parameter is only supported for **bulbul:v2**. It is not available for bulbul:v3.

The `loudness` parameter controls the **volume level** of the generated audio.

It is **optional**: if omitted, the **default value** `1.0` (normal loudness) is used.

* **Valid range:** `0.1` (quietest) to `3.0` (loudest)
* Values \< 1.0 reduce volume; values > 1.0 increase volume.

### Example Code

#### Rest API

```python
from sarvamai import SarvamAI
from sarvamai.play import save

# Initialize the REST client
client = SarvamAI(api_subscription_key="YOUR_SARVAM_API_KEY")

# Generate speech using REST (loudness is only supported in bulbul:v2)
audio = client.text_to_speech.convert(
    text="Welcome to Sarvam AI!",
    model="bulbul:v2",
    language_code="en-IN",
    speaker="anushka",
    loudness=2.0  # Increase loudness for a louder output
)
save(audio, "output1.wav")

```

#### Streaming API

```python
import asyncio
import base64
from sarvamai import AsyncSarvamAI, AudioOutput
import websockets

async def tts_stream():
    client = AsyncSarvamAI(api_subscription_key="YOUR_SARVAM_API_KEY")

    # Note: loudness is only supported for bulbul:v2
    async with client.text_to_speech_streaming.connect(model="bulbul:v2") as ws:
        await ws.configure(
            language_code="hi-IN", 
            speaker="anushka",
            loudness=2.0  # Increase loudness for a louder output
        )
        print("Sent configuration")

        text = (
            "भारत की संस्कृति विश्व की सबसे प्राचीन और समृद्ध संस्कृतियों में से एक है।"
            "यह विविधता, सहिष्णुता और परंपराओं का अद्भुत संगम है, "
            "जिसमें विभिन्न धर्म, भाषाएं, त्योहार, संगीत, नृत्य, वास्तुकला और जीवनशैली शामिल हैं।"
        )

        await ws.convert(text)
        print("Sent text message")

        await ws.flush()
        print("Flushed buffer")

        chunk_count = 0
        with open("output.mp3", "wb") as f:
            async for message in ws:
                if isinstance(message, AudioOutput):
                    chunk_count += 1
                    audio_chunk = base64.b64decode(message.data.audio)
                    f.write(audio_chunk)
                    f.flush()

        print(f"All {chunk_count} chunks saved to output.mp3")
        print("Audio generation complete")

        
        if hasattr(ws, "_websocket") and not ws._websocket.closed:
            await ws._websocket.close()
            print("WebSocket connection closed.")


if __name__ == "__main__":
    asyncio.run(tts_stream())

# --- Notebook/Colab usage ---
# await tts_stream()

```

> Controls the volume level of the generated audio (bulbul:v2 only).