语音合成 (TTS)Text-to-Speech (TTS)

# 基础用法：中文合成 MP3
curl -X POST https://api.itranslator.cc/v1/tts \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "欢迎使用 iTranslator 语音合成服务。",
    "voice": "zh-CN-XiaoxiaoNeural",
    "speed": 1.0,
    "output_format": "mp3"
  }' \
  -o output.mp3

# 带情绪表达：开心风格 + 强度
curl -X POST https://api.itranslator.cc/v1/tts \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Great news! Our new product is now available.",
    "voice": "en-US-JennyNeural",
    "emotion": "happy",
    "emotion_intensity": "strong",
    "output_format": "mp3"
  }' \
  -o happy.mp3

# SSML 标记：插入停顿和发音控制
curl -X POST https://api.itranslator.cc/v1/tts \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "欢迎来到iTranslator语音合成服务。",
    "voice": "zh-CN-YunxiNeural",
    "ssml": true,
    "output_format": "wav",
    "sample_rate": 24000
  }' \
  -o ssml.wav

# 返回音频 URL（而非二进制流）
curl -X POST https://api.itranslator.cc/v1/tts \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "This audio will be available via URL.",
    "voice": "en-US-GuyNeural",
    "return_url": true
  }'

import requests

token = "YOUR_ACCESS_TOKEN"
url = "https://api.itranslator.cc/v1/tts"

# 基础用法
resp = requests.post(
    url,
    headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
    json={
        "text": "欢迎使用 iTranslator 语音合成服务。",
        "voice": "zh-CN-XiaoxiaoNeural",
        "speed": 1.0,
        "output_format": "mp3"
    }
)
with open("output.mp3", "wb") as f:
    f.write(resp.content)

# 高级用法：情绪 + 音量 + SSML
payload = {
    "text": "新品发布啦全场八折！",
    "voice": "zh-CN-XiaoxiaoNeural",
    "emotion": "happy",
    "emotion_intensity": "strong",
    "speed": 1.1,
    "volume": 0.9,
    "ssml": True,
    "output_format": "mp3",
    "sample_rate": 24000
}
resp = requests.post(
    url,
    headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
    json=payload
)
with open("promo.mp3", "wb") as f:
    f.write(resp.content)

# 返回 URL 模式
resp = requests.post(
    url,
    headers={"Authorization": f"Bearer {token}", "Content-Type": "application/json"},
    json={
        "text": "Long text content here...",
        "voice": "en-US-JennyNeural",
        "return_url": True
    }
)
print(f"音频 URL: {resp.json()['audio_url']}")

const axios = require("axios");
const fs = require("fs");

async function synthesizeSpeech() {
  // 基础合成：直接获取二进制流
  const resp = await axios.post(
    "https://api.itranslator.cc/v1/tts",
    {
      text: "欢迎使用 iTranslator 语音合成服务。",
      voice: "zh-CN-XiaoxiaoNeural",
      speed: 1.0,
      output_format: "mp3"
    },
    {
      headers: {
        Authorization: `Bearer ${process.env.API_TOKEN}`,
        "Content-Type": "application/json"
      },
      responseType: "arraybuffer"
    }
  );
  fs.writeFileSync("output.mp3", resp.data);
  console.log("✅ 音频已保存到 output.mp3");

  // 情绪 + SSML 高级合成
  const advanced = await axios.post(
    "https://api.itranslator.cc/v1/tts",
    {
      text: "Breaking newsat this hour.",
      voice: "en-US-GuyNeural",
      emotion: "surprised",
      emotion_intensity: "strong",
      ssml: true,
      output_format: "wav",
      sample_rate: 48000
    },
    {
      headers: {
        Authorization: `Bearer ${process.env.API_TOKEN}`,
        "Content-Type": "application/json"
      },
      responseType: "arraybuffer"
    }
  );
  fs.writeFileSync("news.wav", advanced.data);
}

synthesizeSpeech().catch(console.error);

import okhttp3.*;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;

public class TTSExample {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();

        String json = "{"
            + "\"text\": \"欢迎使用 iTranslator 语音合成服务。\","
            + "\"voice\": \"zh-CN-XiaoxiaoNeural\","
            + "\"speed\": 1.0,"
            + "\"output_format\": \"mp3\""
            + "}";

        RequestBody body = RequestBody.create(json,
            MediaType.parse("application/json"));

        Request request = new Request.Builder()
            .url("https://api.itranslator.cc/v1/tts")
            .header("Authorization", "Bearer " + System.getenv("API_TOKEN"))
            .header("Content-Type", "application/json")
            .post(body)
            .build();

        try (Response response = client.newCall(request).execute()) {
            try (FileOutputStream fos = new FileOutputStream("output.mp3")) {
                fos.write(response.body().bytes());
            }
            System.out.println("✅ 音频已保存到 output.mp3");
        }
    }
}

package main

import (
    "bytes"
    "fmt"
    "io"
    "net/http"
    "os"
    "strings"
)

func main() {
    token := os.Getenv("API_TOKEN")
    url := "https://api.itranslator.cc/v1/tts"

    payload := strings.NewReader(`{
        "text": "欢迎使用 iTranslator 语音合成服务。",
        "voice": "zh-CN-XiaoxiaoNeural",
        "speed": 1.0,
        "output_format": "mp3"
    }`)

    req, _ := http.NewRequest("POST", url, payload)
    req.Header.Set("Authorization", "Bearer "+token)
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, _ := client.Do(req)
    defer resp.Body.Close()

    out, _ := os.Create("output.mp3")
    defer out.Close()
    io.Copy(out, resp.Body)

    fmt.Println("✅ 音频已保存到 output.mp3")
}