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Non-real-time speech synthesis

Non-real-time speech synthesis converts text to speech (TTS) through an HTTP API. It suits latency-tolerant scenarios such as audiobook production, e-learning narration, and content production. The service offers a wide selection of voices, multilingual support, voice cloning, and voice design.

Overview

Convert complete text to speech files through an HTTP API. Two output modes are available: non-streaming and streaming.

  • Non-streaming mode returns an audio file URL that expires after 24 hours. Streaming mode returns PCM audio data in chunks.

  • Supports multiple languages, including Chinese dialects.

  • Supports Voice cloning and Voice Design for custom voice creation.

  • Supports Instruction control, which lets you control speech expressiveness through natural-language instructions.

For low-latency streaming synthesis, see Real-time speech synthesis. To choose a model, see Speech synthesis.

Prerequisites

  • Configure an API key and set it as an environment variable.

  • To call the API through the DashScope SDK, install the latest SDK version.

Quick start

The following examples demonstrate how to synthesize speech with each model family. For more language examples and detailed parameter descriptions, see the API reference for each model.

Qwen-TTS

The following examples show how to synthesize speech with a built-in voice.

Non-streaming output

In non-streaming mode, the response includes a url field pointing to the synthesized audio file. The URL expires after 24 hours.

Python

HELPCODEESCAPE-python
import os
import dashscope


dashscope.base_http_api_url = 'https://dashscope.aliyuncs.com/api/v1'

text = "Today is a wonderful day to build something people love!"
# SpeechSynthesizer usage: dashscope.audio.qwen_tts.SpeechSynthesizer.call(...)
response = dashscope.MultiModalConversation.call(
    # To use the instruction control feature, replace model with qwen3-tts-instruct-flash
    model="qwen3-tts-flash",
    # The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://help.aliyun.com/zh/model-studio/get-api-key
    # If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API Key: api_key = "sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    text=text,
    voice="Cherry",
    language_type="English", # It is recommended to match the language of the text to ensure correct pronunciation and natural intonation.
    # To use the instruction control feature, uncomment the following lines and replace model with qwen3-tts-instruct-flash
    # instructions='Speak at a relatively fast speed with a noticeable rising intonation, suitable for introducing fashion products.',
    # optimize_instructions=True,
    stream=False
)
print(response)

Java

Import the Gson dependency. If you use Maven or Gradle, add the dependency as follows:

Maven

Add the following to pom.xml:

HELPCODEESCAPE-xml

<dependency>
    <groupId>com.google.code.gson</groupId>
    <artifactId>gson</artifactId>
    <version>2.13.1</version>
</dependency>

Gradle

Add the following to build.gradle:

HELPCODEESCAPE-gradle
// https://mvnrepository.com/artifact/com.google.code.gson/gson
implementation("com.google.code.gson:gson:2.13.1")
HELPCODEESCAPE-java
import com.alibaba.dashscope.aigc.multimodalconversation.AudioParameters;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.protocol.Protocol;
import com.alibaba.dashscope.utils.Constants;
import java.io.FileOutputStream;
import java.io.InputStream;
import java.net.URL;

public class Main {
    // To use the instruction control feature, replace MODEL with qwen3-tts-instruct-flash
    private static final String MODEL = "qwen3-tts-flash";
    public static void call() throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://help.aliyun.com/zh/model-studio/get-api-key
                // If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API Key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model(MODEL)
                .text("Today is a wonderful day to build something people love!")
                .voice(AudioParameters.Voice.CHERRY)
                .languageType("English") // It is recommended to match the language of the text to ensure correct pronunciation and natural intonation.
                // To use the instruction control feature, uncomment the following lines and replace model with qwen3-tts-instruct-flash
                // .parameter("instructions","Speak at a relatively fast speed with a noticeable rising intonation, suitable for introducing fashion products.")
                // .parameter("optimize_instructions",true)
                .build();
        MultiModalConversationResult result = conv.call(param);
        String audioUrl = result.getOutput().getAudio().getUrl();
        System.out.print(audioUrl);

        // Download the audio file to local storage
        try (InputStream in = new URL(audioUrl).openStream();
             FileOutputStream out = new FileOutputStream("downloaded_audio.wav")) {
            byte[] buffer = new byte[1024];
            int bytesRead;
            while ((bytesRead = in.read(buffer)) != -1) {
                out.write(buffer, 0, bytesRead);
            }
            System.out.println("\nAudio file downloaded to local storage: downloaded_audio.wav");
        } catch (Exception e) {
            System.out.println("\nError downloading audio file: " + e.getMessage());
        }
    }
    public static void main(String[] args) {
        try {
            // The following is the Beijing region URL. To use models in the Singapore region, replace the URL with: https://dashscope-intl.aliyuncs.com/api/v1
            Constants.baseHttpApiUrl = "https://dashscope.aliyuncs.com/api/v1";
            call();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

cURL

HELPCODEESCAPE-curl
# ======= IMPORTANT =======
# The URL below points to the China (Beijing) region. If you are using a model in the Singapore region, replace it with: https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
# Note: API Keys differ between the Singapore and Beijing regions. To obtain an API Key, visit: https://help.aliyun.com/zh/model-studio/get-api-key
# === Remove this comment before running ===

curl -X POST 'https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3-tts-flash",
    "input": {
        "text": "Today is a wonderful day to build something people love!",
        "voice": "Cherry",
        "language_type": "English"
    }
}'

Python

HELPCODEESCAPE-python
import os
import dashscope

# The following is the Singapore region URL. To use models in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

text = "Today is a wonderful day to build something people love!"
# SpeechSynthesizer usage: dashscope.audio.qwen_tts.SpeechSynthesizer.call(...)
response = dashscope.MultiModalConversation.call(
    # To use the instruction control feature, replace model with qwen3-tts-instruct-flash
    model="qwen3-tts-flash",
    # The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    # If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API Key: api_key = "sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    text=text,
    voice="Cherry",
    language_type="English", # It is recommended to match the language of the text to ensure correct pronunciation and natural intonation.
    # To use the instruction control feature, uncomment the following lines and replace model with qwen3-tts-instruct-flash
    # instructions='Speak at a relatively fast speed with a noticeable rising intonation, suitable for introducing fashion products.',
    # optimize_instructions=True,
    stream=False
)
print(response)

Java

Import the Gson dependency. If you use Maven or Gradle, add the dependency as follows:

Maven

Add the following to pom.xml:

HELPCODEESCAPE-xml

<dependency>
    <groupId>com.google.code.gson</groupId>
    <artifactId>gson</artifactId>
    <version>2.13.1</version>
</dependency>

Gradle

Add the following to build.gradle:

HELPCODEESCAPE-gradle
// https://mvnrepository.com/artifact/com.google.code.gson/gson
implementation("com.google.code.gson:gson:2.13.1")
HELPCODEESCAPE-java
import com.alibaba.dashscope.aigc.multimodalconversation.AudioParameters;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.protocol.Protocol;
import com.alibaba.dashscope.utils.Constants;

import java.io.FileOutputStream;
import java.io.InputStream;
import java.net.URL;

public class Main {
    // To use the instruction control feature, replace MODEL with qwen3-tts-instruct-flash
    private static final String MODEL = "qwen3-tts-flash";
    public static void call() throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
                // If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API Key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model(MODEL)
                .text("Today is a wonderful day to build something people love!")
                .voice(AudioParameters.Voice.CHERRY)
                .languageType("English") // It is recommended to match the language of the text to ensure correct pronunciation and natural intonation.
                // To use the instruction control feature, uncomment the following lines and replace model with qwen3-tts-instruct-flash
                // .parameter("instructions","Speak at a relatively fast speed with a noticeable rising intonation, suitable for introducing fashion products.")
                // .parameter("optimize_instructions",true)
                .build();
        MultiModalConversationResult result = conv.call(param);
        String audioUrl = result.getOutput().getAudio().getUrl();
        System.out.print(audioUrl);

        // Download the audio file to local storage
        try (InputStream in = new URL(audioUrl).openStream();
             FileOutputStream out = new FileOutputStream("downloaded_audio.wav")) {
            byte[] buffer = new byte[1024];
            int bytesRead;
            while ((bytesRead = in.read(buffer)) != -1) {
                out.write(buffer, 0, bytesRead);
            }
            System.out.println("\nAudio file downloaded to local storage: downloaded_audio.wav");
        } catch (Exception e) {
            System.out.println("\nError downloading audio file: " + e.getMessage());
        }
    }
    public static void main(String[] args) {
        // The following is the Singapore region URL. To use models in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
        Constants.baseHttpApiUrl = "https://dashscope-intl.aliyuncs.com/api/v1";
        try {
            call();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

cURL

HELPCODEESCAPE-curl
# ======= IMPORTANT =======
# The URL below points to the Singapore region. If you are using a model in the China (Beijing) region, replace it with: https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
# Note: API Keys differ between the Singapore and Beijing regions. To obtain an API Key, visit: https://www.alibabacloud.com/help/en/model-studio/get-api-key
# === Remove this comment before running ===

curl -X POST 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3-tts-flash",
    "input": {
        "text": "Today is a wonderful day to build something people love!",
        "voice": "Cherry",
        "language_type": "English"
    }
}'

Streaming output

In streaming mode, audio data is returned incrementally as Base64-encoded PCM segments. The last packet includes a URL for the complete audio file.

Python

HELPCODEESCAPE-python
# coding=utf-8
#
# Installation instructions for pyaudio:
# APPLE Mac OS X
#   brew install portaudio
#   pip install pyaudio
# Debian/Ubuntu
#   sudo apt-get install python-pyaudio python3-pyaudio
#   or
#   pip install pyaudio
# CentOS
#   sudo yum install -y portaudio portaudio-devel && pip install pyaudio
# Microsoft Windows
#   python -m pip install pyaudio

import os
import dashscope
import pyaudio
import time
import base64
import numpy as np

# The following is the Beijing region URL. To use models in the Singapore region, replace the URL with: https://dashscope-intl.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope.aliyuncs.com/api/v1'

p = pyaudio.PyAudio()
# Create an audio stream
stream = p.open(format=pyaudio.paInt16,
                channels=1,
                rate=24000,
                output=True)

text = "Today is a wonderful day to build something people love!"
response = dashscope.MultiModalConversation.call(
    # The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://help.aliyun.com/zh/model-studio/get-api-key
    # If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API Key: api_key = "sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # To use the instruction control feature, replace model with qwen3-tts-instruct-flash
    model="qwen3-tts-flash",
    text=text,
    voice="Cherry",
    language_type="English",  # It is recommended to match the language of the text to ensure correct pronunciation and natural intonation.
    # To use the instruction control feature, uncomment the following lines and replace model with qwen3-tts-instruct-flash
    # instructions='Speak at a relatively fast speed with a noticeable rising intonation, suitable for introducing fashion products.',
    # optimize_instructions=True,
    stream=True
)

for chunk in response:
    if chunk.output is not None:
      audio = chunk.output.audio
      if audio.data is not None:
          wav_bytes = base64.b64decode(audio.data)
          audio_np = np.frombuffer(wav_bytes, dtype=np.int16)
          # Play the audio data directly
          stream.write(audio_np.tobytes())
      if chunk.output.finish_reason == "stop":
          print("finish at: {} ", chunk.output.audio.expires_at)
time.sleep(0.8)
# Clean up resources
stream.stop_stream()
stream.close()
p.terminate()

Java

Import the Gson dependency. If you use Maven or Gradle, add the dependency as follows:

Maven

Add the following to pom.xml:

HELPCODEESCAPE-xml

<dependency>
    <groupId>com.google.code.gson</groupId>
    <artifactId>gson</artifactId>
    <version>2.13.1</version>
</dependency>

Gradle

Add the following to build.gradle:

HELPCODEESCAPE-gradle
// https://mvnrepository.com/artifact/com.google.code.gson/gson
implementation("com.google.code.gson:gson:2.13.1")
HELPCODEESCAPE-java
import com.alibaba.dashscope.aigc.multimodalconversation.AudioParameters;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.protocol.Protocol;
import com.alibaba.dashscope.utils.Constants;
import io.reactivex.Flowable;
import javax.sound.sampled.*;
import java.util.Base64;

public class Main {
    // To use the instruction control feature, replace MODEL with qwen3-tts-instruct-flash
    private static final String MODEL = "qwen3-tts-flash";
    public static void streamCall() throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://help.aliyun.com/zh/model-studio/get-api-key
                // If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API Key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model(MODEL)
                .text("Today is a wonderful day to build something people love!")
                .voice(AudioParameters.Voice.CHERRY)
                .languageType("English") // It is recommended to match the language of the text to ensure correct pronunciation and natural intonation.
                // To use the instruction control feature, uncomment the following lines and replace model with qwen3-tts-instruct-flash
                // .parameter("instructions","Speak at a relatively fast speed with a noticeable rising intonation, suitable for introducing fashion products.")
                // .parameter("optimize_instructions",true)
                .build();
        Flowable<MultiModalConversationResult> result = conv.streamCall(param);
        result.blockingForEach(r -> {
            try {
                // 1. Get the Base64-encoded audio data
                String base64Data = r.getOutput().getAudio().getData();
                byte[] audioBytes = Base64.getDecoder().decode(base64Data);

                // 2. Configure the audio format (adjust according to the audio format returned by the API)
                AudioFormat format = new AudioFormat(
                        AudioFormat.Encoding.PCM_SIGNED,
                        24000, // Sample rate (must match the format returned by the API)
                        16,    // Bits per sample
                        1,     // Number of channels
                        2,     // Frame size (bytes)
                        24000, // Frame rate (must match the sample rate)
                        false  // Big-endian
                );

                // 3. Play the audio data in real time
                DataLine.Info info = new DataLine.Info(SourceDataLine.class, format);
                try (SourceDataLine line = (SourceDataLine) AudioSystem.getLine(info)) {
                    if (line != null) {
                        line.open(format);
                        line.start();
                        line.write(audioBytes, 0, audioBytes.length);
                        line.drain();
                    }
                }
            } catch (LineUnavailableException e) {
                e.printStackTrace();
            }
        });
    }
    public static void main(String[] args) {
        // The following is the Beijing region URL. To use models in the Singapore region, replace the URL with: https://dashscope-intl.aliyuncs.com/api/v1
        Constants.baseHttpApiUrl = "https://dashscope.aliyuncs.com/api/v1";
        try {
            streamCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

cURL

HELPCODEESCAPE-curl
# ======= IMPORTANT =======
# The URL below points to the China (Beijing) region. If you are using a model in the Singapore region, replace it with: https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
# Note: API Keys differ between the Singapore and Beijing regions. To obtain an API Key, visit: https://help.aliyun.com/zh/model-studio/get-api-key
# === Remove this comment before running ===

curl -X POST 'https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-H 'X-DashScope-SSE: enable' \
-d '{
    "model": "qwen3-tts-flash",
    "input": {
        "text": "Today is a wonderful day to build something people love!",
        "voice": "Cherry",
        "language_type": "English"
    }
}'

Python

HELPCODEESCAPE-python
# coding=utf-8
#
# Installation instructions for pyaudio:
# APPLE Mac OS X
#   brew install portaudio
#   pip install pyaudio
# Debian/Ubuntu
#   sudo apt-get install python-pyaudio python3-pyaudio
#   or
#   pip install pyaudio
# CentOS
#   sudo yum install -y portaudio portaudio-devel && pip install pyaudio
# Microsoft Windows
#   python -m pip install pyaudio

import os
import dashscope
import pyaudio
import time
import base64
import numpy as np

# The following is the Singapore region URL. To use models in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'

p = pyaudio.PyAudio()
# Create an audio stream
stream = p.open(format=pyaudio.paInt16,
                channels=1,
                rate=24000,
                output=True)

text = "Today is a wonderful day to build something people love!"
response = dashscope.MultiModalConversation.call(
    # The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
    # If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API Key: api_key = "sk-xxx"
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # To use the instruction control feature, replace model with qwen3-tts-instruct-flash
    model="qwen3-tts-flash",
    text=text,
    voice="Cherry",
    language_type="English", # It is recommended to match the language of the text to ensure correct pronunciation and natural intonation.
    # To use the instruction control feature, uncomment the following lines and replace model with qwen3-tts-instruct-flash
    # instructions='Speak at a relatively fast speed with a noticeable rising intonation, suitable for introducing fashion products.',
    # optimize_instructions=True,
    stream=True
)

for chunk in response:
    if chunk.output is not None:
      audio = chunk.output.audio
      if audio.data is not None:
          wav_bytes = base64.b64decode(audio.data)
          audio_np = np.frombuffer(wav_bytes, dtype=np.int16)
          # Play the audio data directly
          stream.write(audio_np.tobytes())
      if chunk.output.finish_reason == "stop":
          print("finish at: {} ", chunk.output.audio.expires_at)
time.sleep(0.8)
# Clean up resources
stream.stop_stream()
stream.close()
p.terminate()

Java

Import the Gson dependency. If you use Maven or Gradle, add the dependency as follows:

Maven

Add the following to pom.xml:

HELPCODEESCAPE-xml

<dependency>
    <groupId>com.google.code.gson</groupId>
    <artifactId>gson</artifactId>
    <version>2.13.1</version>
</dependency>

Gradle

Add the following to build.gradle:

HELPCODEESCAPE-gradle
// https://mvnrepository.com/artifact/com.google.code.gson/gson
implementation("com.google.code.gson:gson:2.13.1")
HELPCODEESCAPE-java
// Install the latest version of the DashScope SDK
import com.alibaba.dashscope.aigc.multimodalconversation.AudioParameters;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.protocol.Protocol;
import com.alibaba.dashscope.utils.Constants;
import io.reactivex.Flowable;
import javax.sound.sampled.*;
import java.util.Base64;

public class Main {
    // To use the instruction control feature, replace MODEL with qwen3-tts-instruct-flash
    private static final String MODEL = "qwen3-tts-flash";
    public static void streamCall() throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // The API Keys for the Singapore and Beijing regions are different. Get an API Key: https://www.alibabacloud.com/help/en/model-studio/get-api-key
                // If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API Key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model(MODEL)
                .text("Today is a wonderful day to build something people love!")
                .voice(AudioParameters.Voice.CHERRY)
                .languageType("English") // It is recommended to match the language of the text to ensure correct pronunciation and natural intonation.
                // To use the instruction control feature, uncomment the following lines and replace model with qwen3-tts-instruct-flash
                // .parameter("instructions","Speak at a relatively fast speed with a noticeable rising intonation, suitable for introducing fashion products.")
                // .parameter("optimize_instructions",true)
                .build();
        Flowable<MultiModalConversationResult> result = conv.streamCall(param);
        result.blockingForEach(r -> {
            try {
                // 1. Get the Base64-encoded audio data
                String base64Data = r.getOutput().getAudio().getData();
                byte[] audioBytes = Base64.getDecoder().decode(base64Data);

                // 2. Configure the audio format (adjust according to the audio format returned by the API)
                AudioFormat format = new AudioFormat(
                        AudioFormat.Encoding.PCM_SIGNED,
                        24000, // Sample rate (must match the format returned by the API)
                        16,    // Bits per sample
                        1,     // Number of channels
                        2,     // Frame size (bytes)
                        24000, // Frame rate (must match the sample rate)
                        false  // Big-endian
                );

                // 3. Play the audio data in real time
                DataLine.Info info = new DataLine.Info(SourceDataLine.class, format);
                try (SourceDataLine line = (SourceDataLine) AudioSystem.getLine(info)) {
                    if (line != null) {
                        line.open(format);
                        line.start();
                        line.write(audioBytes, 0, audioBytes.length);
                        line.drain();
                    }
                }
            } catch (LineUnavailableException e) {
                e.printStackTrace();
            }
        });
    }
    public static void main(String[] args) {
        // The following is the Singapore region URL. To use models in the Beijing region, replace the URL with: https://dashscope.aliyuncs.com/api/v1
        Constants.baseHttpApiUrl = "https://dashscope-intl.aliyuncs.com/api/v1";
        try {
            streamCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

cURL

HELPCODEESCAPE-curl
# ======= IMPORTANT =======
# The URL below points to the Singapore region. If you are using a model in the China (Beijing) region, replace it with: https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation
# Note: API Keys differ between the Singapore and Beijing regions. To obtain an API Key, visit: https://www.alibabacloud.com/help/en/model-studio/get-api-key
# === Remove this comment before running ===

curl -X POST 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-H 'X-DashScope-SSE: enable' \
-d '{
    "model": "qwen3-tts-flash",
    "input": {
        "text": "Today is a wonderful day to build something people love!",
        "voice": "Cherry",
        "language_type": "English"
    }
}'

Advanced features

Instruction control

Instruction-based control lets you shape tone, speed, emotion, and timbre through natural language descriptions, without adjusting complex audio parameters. Supported models: Qwen3-TTS-Instruct-Flash family

Usage : Pass the instruction text in the instruction parameter.

Supported instruction languages: Chinese and English.

Maximum instruction length: 1,600 tokens. Use cases:

  • Audiobook and radio drama voiceover

  • Advertising and promotional voiceover

  • Game character and animation voiceover

  • Emotionally expressive voice assistants

  • Documentary narration and news broadcasting

Tips for writing high-quality voice descriptions:

  • Core principles:

    1. Be specific, not vague: Use words that describe concrete vocal qualities, such as "deep," "crisp," or "slightly fast." Avoid subjective or vague terms like "nice" or "normal."

    2. Be multidimensional, not single-faceted: A good description covers multiple dimensions (gender, age, emotion, etc.). Writing only "female voice" is too broad to produce a distinctive timbre.

    3. Be objective, not subjective: Focus on the physical and perceptual qualities of the voice. For example, use "slightly high pitch with energy" rather than "my favorite voice."

    4. Be original, not imitative: Describe the vocal qualities you want, rather than requesting imitation of specific public figures (such as celebrities or actors). The model doesn't support imitation, and it may involve copyright risks.

    5. Be concise, not redundant: Make every word count. Avoid repeating synonyms or stacking meaningless modifiers.

  • Description dimensions:

    Combining the following dimensions produces more accurate results. The more dimensions described, the more precise the output.

DimensionExample descriptions
GenderMale, female, neutral
AgeChild (5-12), teenager (13-18), young adult (19-35), middle-aged (36-55), elderly (55+)
PitchHigh, mid, low, slightly high, slightly low
SpeedFast, moderate, slow, slightly fast, slightly slow
EmotionCheerful, calm, gentle, serious, lively, composed, soothing
TimbreMagnetic, crisp, husky, mellow, sweet, rich, powerful
Use caseNews broadcasting, advertising, audiobook, animation character, voice assistant, documentary narration
  • Examples:

    • Standard broadcasting style: Clear and precise articulation with standard pronunciation

    • Young, lively female voice with a slightly fast pace and a noticeable rising intonation, suitable for introducing fashion products

    • Calm middle-aged male voice with a slow pace, deep and magnetic timbre, suitable for reading news or narrating documentaries

    • Gentle, intellectual female voice, around 30 years old, with a calm tone, suitable for audiobook reading

    • Cute child voice, about 8-year-old girl, slightly childish speech, suitable for animation character voiceover

Supported scope

Available models vary by deployment scope:

International

If you select the International deployment scope, model inference compute resources are dynamically scheduled worldwide, excluding the Chinese mainland. Static data is stored in your selected region. Supported region: Singapore.

To call the following models, use an API key from the Singapore region:

  • Qwen-TTS:

    • Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash (stable, currently equivalent to qwen3-tts-instruct-flash-2026-01-26), qwen3-tts-instruct-flash-2026-01-26 (latest snapshot)

    • Qwen3-TTS-VD : qwen3-tts-vd-2026-01-26 (latest snapshot)

    • Qwen3-TTS-VC : qwen3-tts-vc-2026-01-22 (latest snapshot)

    • Qwen3-TTS-Flash: qwen3-tts-flash (stable, currently equivalent to qwen3-tts-flash-2025-11-27), qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18

Chinese mainland

If you select the Chinese mainland deployment scope, model inference compute resources are restricted to the Chinese mainland. Static data is stored in your selected region. Supported region: China (Beijing).

To call the following models, use an API key from the Beijing region:

  • Qwen-TTS:

    • Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash (stable, currently equivalent to qwen3-tts-instruct-flash-2026-01-26), qwen3-tts-instruct-flash-2026-01-26 (latest snapshot)

    • Qwen3-TTS-VD : qwen3-tts-vd-2026-01-26 (latest snapshot)

    • Qwen3-TTS-VC : qwen3-tts-vc-2026-01-22 (latest snapshot)

    • Qwen3-TTS-Flash: qwen3-tts-flash (stable, currently equivalent to qwen3-tts-flash-2025-11-27), qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18

    • Qwen-TTS: qwen-tts (stable, currently equivalent to qwen-tts-2025-04-10), qwen-tts-latest (latest, currently equivalent to qwen-tts-2025-05-22), qwen-tts-2025-05-22 (snapshot), qwen-tts-2025-04-10 (snapshot)

Built-in voices

Voices vary by model. To specify a voice, set the voice parameter to the value in the voice parameter column of the tables below.

  • Qwen-TTS voice list:
**voice** parameterDetailsSupported languagesSupported models
CherryVoice name: CherryDescription: A sunny, positive, friendly, and natural young woman (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18 - Qwen-TTS: qwen-tts, qwen-tts-2025-04-10, qwen-tts-latest, qwen-tts-2025-05-22
SerenaVoice name: SerenaDescription: A gentle young woman (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27 - Qwen-TTS: qwen-tts, qwen-tts-2025-04-10, qwen-tts-latest, qwen-tts-2025-05-22
EthanVoice name: EthanDescription: Standard Mandarin with a slight northern accent. Sunny, warm, energetic, and vibrant (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18 - Qwen-TTS: qwen-tts, qwen-tts-2025-04-10, qwen-tts-latest, qwen-tts-2025-05-22
ChelsieVoice name: ChelsieDescription: A two-dimensional virtual girlfriend (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27 - Qwen-TTS: qwen-tts, qwen-tts-2025-04-10, qwen-tts-latest, qwen-tts-2025-05-22
MomoVoice name: MomoDescription: Playful and mischievous, cheering you up (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
VivianVoice name: VivianDescription: Confident, cute, and slightly feisty (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
MoonVoice name: MoonDescription: A bold and handsome man named Yuebai (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
MaiaVoice name: MaiaDescription: A blend of intellect and gentleness (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
KaiVoice name: KaiDescription: A soothing audio spa for your ears (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
NofishVoice name: NofishDescription: A designer who cannot pronounce retroflex sounds (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18
BellaVoice name: BellaDescription: A little girl who drinks but never throws punches when drunk (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
JenniferVoice name: JenniferDescription: A premium, cinematic-quality American English female voice (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18
RyanVoice name: RyanDescription: Full of rhythm, bursting with dramatic flair, balancing authenticity and tension (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18
KaterinaVoice name: KaterinaDescription: A mature-woman voice with rich, memorable rhythm (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18
AidenVoice name: AidenDescription: An American English young man skilled in cooking (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
Eldric SageVoice name: Eldric SageDescription: A calm and wise elder---weathered like a pine tree, yet clear-minded as a mirror (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
MiaVoice name: MiaDescription: Gentle as spring water, obedient as fresh snow (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
MochiVoice name: MochiDescription: A clever, quick-witted young adult---childlike innocence remains, yet wisdom shines through (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
BellonaVoice name: BellonaDescription: A powerful, clear voice that brings characters to life---so stirring it makes your blood boil. With heroic grandeur and perfect diction, this voice captures the full spectrum of human expression.Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
VincentVoice name: VincentDescription: A uniquely raspy, smoky voice---just one line evokes armies and heroic tales (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
BunnyVoice name: BunnyDescription: A little girl overflowing with "cuteness" (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
NeilVoice name: NeilDescription: A flat baseline intonation with precise, clear pronunciation---the most professional news anchor (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
EliasVoice name: EliasDescription: Maintains academic rigor while using storytelling techniques to turn complex knowledge into digestible learning modules (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18
ArthurVoice name: ArthurDescription: A simple, earthy voice steeped in time and tobacco smoke---slowly unfolding village stories and curiosities (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
NiniVoice name: NiniDescription: A soft, clingy voice like sweet rice cakes---those drawn-out calls of "Big Brother" are so sweet they melt your bones (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
SerenVoice name: SerenDescription: A gentle, soothing voice to help you fall asleep faster. Good night, sweet dreams (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
PipVoice name: PipDescription: A playful, mischievous boy full of childlike wonder---is this your memory of Shin-chan? (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
StellaVoice name: StellaDescription: Normally a cloyingly sweet, dazed teenage-girl voice---but when shouting "I represent the moon to defeat you!", she instantly radiates unwavering love and justice (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Instruct-Flash: qwen3-tts-instruct-flash, qwen3-tts-instruct-flash-2026-01-26 - Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
BodegaVoice name: BodegaDescription: A passionate Spanish man (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
SonrisaVoice name: SonisaDescription: A cheerful, outgoing Latin American woman (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
AlekVoice name: AlekDescription: Cold like the Russian spirit, yet warm like wool coat lining (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
DolceVoice name: DolceDescription: A laid-back Italian man (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
SoheeVoice name: SoheeDescription: A warm, cheerful, emotionally expressive Korean unnie (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
Ono AnnaVoice name: Ono AnnaDescription: A clever, spirited childhood friend (female)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
LennVoice name: LennDescription: Rational at heart, rebellious in detail---a German youth who wears suits and listens to post-punkChinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
EmilienVoice name: EmilienDescription: A romantic French big brother (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
AndreVoice name: AndreDescription: A magnetic, natural, and steady male voiceChinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
Radio GolVoice name: Radio GolDescription: Football poet Radio Gol! Today I'll commentate on football using my name (male)Chinese (Mandarin), English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27
JadaVoice name: Shanghai - JadaDescription: A fast-paced, energetic Shanghai auntie (female)Shanghainese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18 - Qwen-TTS: qwen-tts-latest, qwen-tts-2025-05-22
DylanVoice name: Beijing - DylanDescription: A young man raised in Beijing's hutongs (male)Beijing dialect, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18 - Qwen-TTS: qwen-tts-latest, qwen-tts-2025-05-22
LiVoice name: Nanjing - LiDescription: A patient yoga teacher (male)Nanjing dialect, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18
MarcusVoice name: Shaanxi - MarcusDescription: Broad face, few words, sincere heart, deep voice---the authentic Shaanxi flavor (male)Shaanxi dialect, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18
RoyVoice name: Southern Min - RoyDescription: A humorous, straightforward, lively Taiwanese guy (male)Southern Min, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18
PeterVoice name: Tianjin - PeterDescription: Tianjin-style crosstalk, professional foil (male)Tianjin dialect, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, and qwen3-tts-flash-2025-09-18
SunnyVoice name: Sichuan - SunnyDescription: A Sichuan girl sweet enough to melt your heart (female)Sichuan dialect, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18 - Qwen-TTS: qwen-tts-latest, qwen-tts-2025-05-22
EricVoice name: Sichuan - EricDescription: A Sichuanese man from Chengdu who stands out in everyday life (male)Sichuan dialect, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, qwen3-tts-flash-2025-09-18
RockyVoice name: Cantonese - RockyDescription: A humorous, witty A Qiang providing live chat (male)Cantonese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, and qwen3-tts-flash-2025-09-18
KikiVoice name: Cantonese - KikiDescription: A sweet Hong Kong girl best friend (female)Cantonese, English, French, German, Russian, Italian, Spanish, Portuguese, Japanese, Korean- Qwen3-TTS-Flash: qwen3-tts-flash, qwen3-tts-flash-2025-11-27, and qwen3-tts-flash-2025-09-18

API reference

  • Non-real-time speech synthesis - Qwen API reference

FAQ

Q: How long does the audio file URL remain valid?

A: The audio file URL expires 24 hours after it's generated. To get a new URL, call the API again.

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