Eleven v3

eleven_v3

eleven_v3. Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

İlgili modeller

Eleven v3 İlgili modeller 1

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Yapay zeka model API pazarıTek platformda her şeyEn popülerKoşullarGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
voice_id *Voice IDtext——
language_codeLanguage Codetext——
similarity_boostSimilarity Boostslider0.750 ~ 1 · step 0.05
stabilityStabilityslider0.50 ~ 1 · step 0.05

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Daha fazla bilgiTek platformda her şeyGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
audio_urlstring

API

Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/eleven_v3" \
  -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_v3",
    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_v3", {
  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 belgeleri

Eleven V3

A high-naturalness text-to-speech model for fast, expressive voice generation with no cold starts.

Eleven V3 is ElevenLabs’ hosted text-to-speech model designed to turn written text into clear, lifelike, and expressive speech. It combines strong voice quality, low operational friction, no cold starts, and affordable usage-based pricing, making it a practical choice for production voice workflows.

🚀 Key Features

  • High naturalness: Produces human-like intonation, pacing, and articulation for polished audio output.
  • Expressive speech synthesis: Delivers clear pronunciation with lifelike emotional tone, suitable for narration and branded content.
  • Controllable voice behavior: Fine-tune output with similarity and stability to balance realism, consistency, and speaker likeness.
  • Speaker Boost support: Improves English text normalization, especially for numbers, times, and measurements.
  • Multi-language capability: Supports multiple languages with strong overall intelligibility, while performing best in English.
  • No cold starts: Hosted inference is ready to use for responsive, production-friendly generation.

🛠️ Technical Specifications

ItemDetails
Model architectureDeep-learning text-to-speech(TTS)model
Model nameEleven V3
InputText string, voice_id string
OutputAudio file URL
Output formatMP3
Maximum input length10,000 characters
Billing unit1 character = 1 token; charged per character
Voice optionsBuilt-in voice library including Alice, George, Lily, Daniel, and more
Adjustable controlssimilarity(0.0–1.0), stability(0.0–1.0), use_speaker_boost(boolean)
Pause controlUse <#x#> between words to control pause length(0.01–99.99s)
Language supportMulti-language text-to-speech; best performance in English
LatencyNo fixed latency published; hosted deployment is positioned for no-cold-start responsiveness
Best practiceSplit long passages into smaller segments for more stable rhythm and delivery

Sample prompts

Note: This is a text-to-speech model, so it does not use Prompt / Negative Prompt in the image-generation sense. The examples below are sample input texts.

  1. Welcome to our advanced text-to-speech system! Experience high-quality voice synthesis with natural pronunciation and clear articulation.
  2. The meeting will begin at 9:30 AM <#0.5#> and will cover sales performance, regional forecasts, and next quarter planning.
  3. Welcome to our product overview. Today, we’ll introduce a faster and more natural voice experience for digital content.

💰 Pricing

ItemPrice
Base price$0.1 / 1,000 characters

💡 Best Use Cases

  • Voiceovers for digital content: Ideal for explainer videos, product demos, training content, and branded media.
  • Podcasts and spoken media: Useful for summaries, narration, educational audio, and serialized content.
  • Business audio automation: Suitable for announcements, internal training, spoken instructions, and customer-facing audio assets.
  • Multilingual content production: A strong fit for global marketing, localized product messaging, and international media workflows.

🔗 Related Models

  • Elevenlabs Dubbing: Better suited for dubbing and cross-language voice replacement workflows.
  • Elevenlabs Eleven V3 Timing: More appropriate for use cases that require tighter timing or alignment control.