Eleven Multilingual v2
eleven_multilingual_v2
eleven_multilingual_v2. 瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。
相關模型
完整參數參考、輸出結構與即時價格
| AI 模型 API 市集 | 一個平台,全部完成 | 最受歡迎 | 服務條款 | 瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。 |
|---|---|---|---|---|
| voice_id *Voice ID | text | — | — | |
| language_codeLanguage Code | text | — | — | |
| similarity_boostSimilarity Boost | slider | 0.75 | 0 ~ 1 · step 0.05 | |
| stabilityStability | slider | 0.5 | 0 ~ 1 · step 0.05 |
完整參數參考、輸出結構與即時價格
| 深入了解 | 一個平台,全部完成 | 瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。 |
|---|---|---|
| audio_url | string |
API
瀏覽圖像、影片與換臉模型 API。先試用任一模型,再透過統一 REST API 整合。
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/eleven_multilingual_v2" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"voice_id": "JBFqnCBsd6RMkjVDRZzb",
"language_code": "en",
"similarity_boost": 0.8,
"stability": 0.55
}
}'
# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
-H "Authorization: Bearer YOUR_API_KEY"Python
import time, requests
API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
# 1) Submit
resp = requests.post(
"https://www.namifusion.com/api/v1/marketplace/run/eleven_multilingual_v2",
headers=HEADERS,
json={
"input": {
"voice_id": "JBFqnCBsd6RMkjVDRZzb",
"language_code": "en",
"similarity_boost": 0.8,
"stability": 0.55
}
},
)
resp.raise_for_status() # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()
# 2) Poll until a terminal state (completed / failed / cancelled).
# This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
if time.time() > deadline:
raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
time.sleep(3)
poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
poll.raise_for_status()
task = poll.json()
print(task["status"], task.get("output"))JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };
// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/eleven_multilingual_v2", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"voice_id": "JBFqnCBsd6RMkjVDRZzb",
"language_code": "en",
"similarity_boost": 0.8,
"stability": 0.55
}
}),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();
// 2) Poll until a terminal state (completed / failed / cancelled).
// This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
await new Promise((r) => setTimeout(r, 3000));
const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
task = await poll.json();
}
console.log(task.status, task.output);API 文件
Multilingual V2
A high-naturalness multilingual text-to-speech model built for fast, reliable, and cost-efficient voice generation.
Multilingual V2 is ElevenLabs’ multilingual text-to-speech model for converting written text into clear, expressive speech. It combines natural prosody, strong multilingual performance, no cold starts, and affordable character-based pricing, making it a practical choice for both real-time and production-scale audio generation.
🚀 Key Features
- High naturalness: Produces humanlike intonation, pacing, and timing for polished voice output.
- Multilingual support: Optimized for multilingual synthesis with improved pronunciation and accent handling.
- Tunable voice delivery: Adjust
similarityandstabilityto balance speaker likeness, clarity, and consistency. - Speaker Boost for English normalization: Improves reading quality for numbers, dates, units, and similar structured content.
- No cold starts: Well suited for interactive applications and high-frequency workloads.
- Affordable pricing: Simple per-character pricing supports predictable cost control from prototyping to production.
🛠️ Technical Specifications
| Item | Details |
|---|---|
| Model architecture | Multilingual text-to-speech(TTS) |
| Model ID | elevenlabs/multilingual-v2 |
| Input | Text(string) |
| Output | Audio |
| Maximum input length | 10,000 characters |
| Billing unit | 1 character = 1 token; charged per character |
| Voice selection | voice_id, default Alice; supports built-in and custom voices |
| Similarity control | similarity: 0.0–1.0, default 1 |
| Stability control | stability: 0.0–1.0, default 0.5 |
| English normalization boost | use_speaker_boost: boolean, default true |
| Pause control | Use <#x#> between words to control pause duration(0.01–99.99s) |
| Latency | No fixed public value provided; positioned as no-cold-start, fast inference |
| Typical outputs | Voiceovers, narration, learning content, product videos, customer support audio |
Sample Prompts
Note: This is a text-to-speech model, so the examples below are sample input texts.
Welcome to our product demo. Today we will walk through the key features and benefits in under two minutes.Your order will arrive on Friday <#0.5#> between 2 PM and 5 PM. Thank you for shopping with us.The total balance is 1,245 dollars and 80 cents, due on September 15.
💰 Pricing
| Item | Price |
|---|---|
| Base price | $0.1 / 1,000 characters |
💡 Best Use Cases
- Marketing and branded content: Create polished voiceovers for product demos, ads, and social media videos.
- Education and training: Generate narration for lessons, language learning materials, and internal training content.
- Globalized user experiences: Power multilingual audio for international apps, websites, and customer-facing services.
- Customer support and automated announcements: Especially effective for English content involving numbers, dates, times, and measurements.
🔗 Related Models
- Elevenlabs Multilingual V1: Earlier multilingual version for users comparing legacy output characteristics.
- Elevenlabs Music: A separate model line focused on music-related generation rather than speech synthesis.
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