Generate Speech - KugelAudio

Generate complete audio from text. This is the simplest way to get started - provide text and receive audio back.

Basic Generation

Python
JavaScript
Java
cURL

from kugelaudio import KugelAudio

client = KugelAudio(api_key="your_api_key")

audio = client.tts.generate(
    text="Hello, this is a test of the KugelAudio text-to-speech system.",
    model_id="kugel-3",
)

# Save to file
audio.save("output.wav")

# Or get WAV bytes
wav_bytes = audio.to_wav_bytes()

import { KugelAudio } from 'kugelaudio';

const client = new KugelAudio({ apiKey: 'your_api_key' });

const audio = await client.tts.generate({
  text: 'Hello, this is a test of the KugelAudio text-to-speech system.',
  modelId: 'kugel-3',
});

// audio.audio is an ArrayBuffer with PCM16 data
console.log(`Duration: ${audio.durationMs}ms`);

import com.kugelaudio.sdk.KugelAudio;
import com.kugelaudio.sdk.KugelAudioOptions;
import com.kugelaudio.sdk.GenerateRequest;
import com.kugelaudio.sdk.AudioResponse;

KugelAudio client = new KugelAudio(
    KugelAudioOptions.builder("your_api_key").build()
);

AudioResponse audio = client.tts().generate(
    GenerateRequest.builder("Hello, this is a test of the KugelAudio text-to-speech system.")
        .modelId("kugel-3")
        .language("en")
        .build()
);

// Save to WAV file
audio.saveWav(java.nio.file.Path.of("output.wav"));

// Or get raw PCM bytes
byte[] pcmData = audio.getAudio();

curl -X POST https://api.kugelaudio.com/v1/tts/generate \
  -H "Authorization: Bearer $KUGELAUDIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello, this is a test of the KugelAudio text-to-speech system.",
    "model_id": "kugel-3"
  }' \
  --output output.pcm

# The response is raw PCM16 audio (signed 16-bit LE, mono, 24kHz)
# Convert to WAV for playback:
ffmpeg -f s16le -ar 24000 -ac 1 -i output.pcm output.wav

Generation Parameters

The parameters you’ll touch most often (Python/REST snake_case; JavaScript uses camelCase):

text (required) and model_id — use kugel-3
voice_id — the voice to speak with (Using voices)
cfg_scale — expressiveness (see the guide below)
normalize + language — text normalization; always set the language when you know it
word_timestamps — word-level timestamps
speed — playback speed (see Speed Control below)

The complete table — every field with type, default, range, and error behavior — lives in the Generate Speech API reference.

CFG Scale Guide

The cfg_scale parameter controls how closely the model follows the voice characteristics. Accepted range: 1.2–2.5 (inclusive). Values outside this range are clamped into it.

Range	Style	Best For
1.2-1.5	Relaxed, natural	Conversational AI, long-form narration
2.0	Balanced (default)	General purpose
2.5	Expressive	Storytelling, emphasis-heavy content

Speed Control

The speed parameter adjusts playback rate using pitch-preserving time-stretching (WSOLA), so the voice pitch stays natural even at different speeds. Range: 0.8 (20% slower) to 1.2 (20% faster).

Dashboard: The playground in the KugelAudio dashboard includes a Slow / Normal / Fast speed toggle next to the model selector. Changes are reflected live in the SDK code snippet shown below the generator.

Python
JavaScript
Java
cURL

# Global speed — whole request at 80% speed
audio = client.tts.generate(
    text="Bitte rufen Sie uns an unter: 0 30 12 34 56 78.",
    language="de",
    speed=0.8,
)

// Global speed
const audio = await client.tts.generate({
  text: 'Bitte rufen Sie uns an unter: 0 30 12 34 56 78.',
  language: 'de',
  speed: 0.8,
});

// Global speed
AudioResponse audio = client.tts().generate(
    GenerateRequest.builder("Bitte rufen Sie uns an unter: 0 30 12 34 56 78.")
        .language("de")
        .speed(0.8)
        .build()
);

curl -X POST https://api.kugelaudio.com/v1/tts/generate \
  -H "Authorization: Bearer $KUGELAUDIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Bitte rufen Sie uns an unter: 0 30 12 34 56 78.",
    "language": "de",
    "speed": 0.8
  }' \
  --output output.pcm

`speed` value	Rate	Typical use
`0.8`	20% slower	Phone numbers, addresses, medical terms
`1.0`	Normal (default)	General purpose
`1.2`	20% faster	Notifications, fast-paced content

Speed applies to the whole request; to change the rate for just part of it, wrap that text in <prosody rate="...">:

Unsere Rückrufnummer lautet <prosody rate="slow">0800 5834552.</prosody> Danke!

For pauses, codes, and pronunciation fixes, see the Prompting guide: <break> tags, <spell> tags, and the unsupported-tags table.

Full Example with All Options

Python
JavaScript
Java
cURL

audio = client.tts.generate(
    text="Hello, this is a test of the KugelAudio text-to-speech system.",
    model_id="kugel-3",
    voice_id=1071,
    cfg_scale=2.0,
    max_new_tokens=2048,
    sample_rate=24000,
    normalize=True,
    language="en",
    word_timestamps=False,
    speed=1.0,
)

# Inspect the response
print(f"Duration: {audio.duration_seconds:.2f}s")
print(f"Samples: {audio.samples}")
print(f"Sample rate: {audio.sample_rate} Hz")
print(f"Generation time: {audio.generation_ms:.0f}ms")
print(f"RTF: {audio.rtf:.2f}")

# Save to WAV file
audio.save("output.wav")

# Get raw PCM bytes
pcm_data = audio.audio

# Get WAV bytes (with header)
wav_bytes = audio.to_wav_bytes()

const audio = await client.tts.generate({
  text: 'Hello, this is a test of the KugelAudio text-to-speech system.',
  modelId: 'kugel-3',
  voiceId: 1071,
  cfgScale: 2.0,
  maxNewTokens: 2048,
  sampleRate: 24000,
  normalize: true,
  language: 'en',
  wordTimestamps: false,
  speed: 1.0,
});

// Inspect the response
console.log(`Duration: ${audio.durationMs}ms`);
console.log(`Samples: ${audio.samples}`);
console.log(`Sample rate: ${audio.sampleRate} Hz`);
console.log(`Generation time: ${audio.generationMs}ms`);
console.log(`RTF: ${audio.rtf}`);

// audio.audio is an ArrayBuffer with PCM16 data

AudioResponse audio = client.tts().generate(
    GenerateRequest.builder("Hello, this is a test of the KugelAudio text-to-speech system.")
        .modelId("kugel-3")
        .voiceId(1071)
        .cfgScale(2.0)
        .maxNewTokens(2048)
        .sampleRate(24000)
        .normalize(true)
        .language("en")
        .wordTimestamps(false)
        .speed(1.0)
        .build()
);

// Inspect the response
System.out.printf("Duration: %.2fs%n", audio.getDurationSeconds());
System.out.printf("Samples: %d%n", audio.getTotalSamples());
System.out.printf("Sample rate: %d Hz%n", audio.getSampleRate());
System.out.printf("Generation time: %.0fms%n", audio.getGenerationMs());
System.out.printf("RTF: %.2f%n", audio.getRtf());

// Save to WAV file
audio.saveWav(java.nio.file.Path.of("output.wav"));

curl -X POST https://api.kugelaudio.com/v1/tts/generate \
  -H "Authorization: Bearer $KUGELAUDIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello, this is a test of the KugelAudio text-to-speech system.",
    "model_id": "kugel-3",
    "voice_id": 1071,
    "cfg_scale": 2.0,
    "max_new_tokens": 2048,
    "sample_rate": 24000,
    "normalize": true,
    "language": "en",
    "word_timestamps": false,
    "speed": 1.0
  }' \
  --output output.pcm

Async Generation

Python
JavaScript
Java
cURL

import asyncio

async def main():
    audio = await client.tts.generate_async(
        text="Async generation example.",
        model_id="kugel-3",
    )
    audio.save("async_output.wav")

asyncio.run(main())

// JavaScript SDK is async by default
const audio = await client.tts.generate({
  text: 'Async generation example.',
  modelId: 'kugel-3',
});

// Java SDK is synchronous by default.
// Use a thread pool for concurrent requests:
import java.util.concurrent.*;

ExecutorService executor = Executors.newVirtualThreadPerTaskExecutor();
Future<AudioResponse> future = executor.submit(() ->
    client.tts().generate(
        GenerateRequest.builder("Async generation example.")
            .modelId("kugel-3")
            .language("en")
            .build()
    )
);
AudioResponse audio = future.get();
audio.saveWav(java.nio.file.Path.of("async_output.wav"));

# cURL requests are synchronous by default — the response
# streams back as the audio is generated.
curl -X POST https://api.kugelaudio.com/v1/tts/generate \
  -H "Authorization: Bearer $KUGELAUDIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Async generation example.",
    "model_id": "kugel-3"
  }' \
  --output async_output.pcm

Playing Audio in the Browser

The JavaScript SDK provides utility functions for audio playback:

import { KugelAudio, createWavBlob } from 'kugelaudio';

const client = new KugelAudio({ apiKey: 'your_api_key' });

const audio = await client.tts.generate({
  text: 'Hello, world!',
  modelId: 'kugel-3',
});

// Create WAV blob for playback
const wavBlob = createWavBlob(audio.audio, audio.sampleRate);
const url = URL.createObjectURL(wavBlob);

// Play with Audio element
const audioElement = new Audio(url);
audioElement.play();

// Or with Web Audio API
const audioContext = new AudioContext();
const arrayBuffer = await wavBlob.arrayBuffer();
const audioBuffer = await audioContext.decodeAudioData(arrayBuffer);
const source = audioContext.createBufferSource();
source.buffer = audioBuffer;
source.connect(audioContext.destination);
source.start();

Pre-connecting for Low Latency

For latency-sensitive applications, pre-establish the WebSocket connection at startup to keep the handshake out of your first request — see Latency.

Python (Async)
Python (Sync)
JavaScript
Java

import asyncio
from kugelaudio import KugelAudio

async def main():
    # Create a pre-connected client (handshake happens here)
    client = await KugelAudio.create(api_key="your_api_key")
    
    # First request is now fast — no handshake on the hot path
    audio = await client.tts.generate_async(
        text="Hello, world!",
        model_id="kugel-3",
    )
    audio.save("output.wav")
    
    await client.aclose()

asyncio.run(main())

from kugelaudio import KugelAudio

client = KugelAudio(api_key="your_api_key")

# Pre-connect at startup (handshake happens here)
client.connect()

# First request is now fast
audio = client.tts.generate(
    text="Hello, world!",
    model_id="kugel-3",
)

import { KugelAudio } from 'kugelaudio';

// Create a pre-connected client (handshake happens here)
const client = await KugelAudio.create({ apiKey: 'your_api_key' });

// First request is now fast — no handshake on the hot path
const audio = await client.tts.generate({
  text: 'Hello, world!',
  modelId: 'kugel-3',
});

import com.kugelaudio.sdk.KugelAudio;
import com.kugelaudio.sdk.KugelAudioOptions;

// autoConnect warms the WebSocket in the background during construction
KugelAudio client = new KugelAudio(
    KugelAudioOptions.builder("your_api_key")
        .autoConnect(true)
        .build()
);

// First request is now fast — connection is already established
AudioResponse audio = client.tts().generate(
    GenerateRequest.builder("Hello, world!")
        .modelId("kugel-3")
        .language("en")
        .build()
);

client.close();

Without pre-connecting, the first TTS request includes WebSocket connection setup. Subsequent requests reuse the connection. See Latency for typical numbers. Pre-connecting moves this overhead to application startup.

Word Timestamps

Request per-word time alignments alongside the generated audio. Useful for subtitles, karaoke, lip-sync, and barge-in handling.

Python
JavaScript
Java
cURL

audio = client.tts.generate(
    text="Hello, how are you today?",
    model_id="kugel-3",
    word_timestamps=True,
)

for ts in audio.word_timestamps:
    print(f"{ts.word}: {ts.start_ms}ms - {ts.end_ms}ms (score: {ts.score:.2f})")

# Output:
# Hello: 0ms - 320ms (score: 0.98)
# how: 350ms - 480ms (score: 0.95)
# are: 500ms - 580ms (score: 0.97)
# you: 600ms - 720ms (score: 0.96)
# today: 750ms - 1100ms (score: 0.94)

const audio = await client.tts.generate({
  text: 'Hello, how are you today?',
  modelId: 'kugel-3',
  wordTimestamps: true,
});

for (const ts of audio.wordTimestamps) {
  console.log(`${ts.word}: ${ts.startMs}ms - ${ts.endMs}ms (score: ${ts.score.toFixed(2)})`);
}

import com.kugelaudio.sdk.WordTimestamp;

AudioResponse audio = client.tts().generate(
    GenerateRequest.builder("Hello, how are you today?")
        .modelId("kugel-3")
        .language("en")
        .wordTimestamps(true)
        .build()
);

for (WordTimestamp ts : audio.getWordTimestamps()) {
    System.out.printf("%s: %dms - %dms (score: %.2f)%n",
        ts.getWord(), ts.getStartMs(), ts.getEndMs(), ts.getScore());
}

curl -X POST https://api.kugelaudio.com/v1/tts/generate \
  -H "Authorization: Bearer $KUGELAUDIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Hello, how are you today?",
    "model_id": "kugel-3",
    "word_timestamps": true
  }' \
  --output output.pcm

Word timestamps are included in the response headers or as a JSON preamble before the audio bytes. Use an SDK for convenient access to parsed timestamp objects.

Word timestamps add no extra audio latency. For streaming use cases, see the Streaming Guide.

Next Steps

Streaming

Lower latency with real-time audio streaming

Text Processing

Text normalization and spell tags

Voices

Browse and use different voices

Models

Learn about available models

​Basic Generation

​Generation Parameters

​CFG Scale Guide

​Speed Control

​Full Example with All Options

​Async Generation

​Playing Audio in the Browser

​Pre-connecting for Low Latency

​Word Timestamps

​Next Steps

Streaming

Text Processing

Voices

Models

Basic Generation

Generation Parameters

CFG Scale Guide

Speed Control

Full Example with All Options

Async Generation

Playing Audio in the Browser

Pre-connecting for Low Latency

Word Timestamps

Next Steps