Eleven v3
eleven_v3
eleven_v3. इमेज, वीडियो और चेहरा बदलने वाले मॉडल API देखें। किसी मॉडल को आजमाएं और एकीकृत REST API से जोड़ें।
संबंधित मॉडल
पूरे पैरामीटर, आउटपुट स्कीमा और मौजूदा मूल्य
| AI मॉडल API मार्केटप्लेस | एक प्लेटफॉर्म, सब कुछ | सबसे लोकप्रिय | शर्तें | इमेज, वीडियो और चेहरा बदलने वाले मॉडल API देखें। किसी मॉडल को आजमाएं और एकीकृत REST API से जोड़ें। |
|---|---|---|---|---|
| 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 |
पूरे पैरामीटर, आउटपुट स्कीमा और मौजूदा मूल्य
| और जानें | एक प्लेटफॉर्म, सब कुछ | इमेज, वीडियो और चेहरा बदलने वाले मॉडल API देखें। किसी मॉडल को आजमाएं और एकीकृत REST API से जोड़ें। |
|---|---|---|
| audio_url | string |
API
इमेज, वीडियो और चेहरा बदलने वाले मॉडल API देखें। किसी मॉडल को आजमाएं और एकीकृत REST API से जोड़ें।
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 दस्तावेज
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
| Item | Details |
|---|---|
| Model architecture | Deep-learning text-to-speech(TTS)model |
| Model name | Eleven V3 |
| Input | Text string, voice_id string |
| Output | Audio file URL |
| Output format | MP3 |
| Maximum input length | 10,000 characters |
| Billing unit | 1 character = 1 token; charged per character |
| Voice options | Built-in voice library including Alice, George, Lily, Daniel, and more |
| Adjustable controls | similarity(0.0–1.0), stability(0.0–1.0), use_speaker_boost(boolean) |
| Pause control | Use <#x#> between words to control pause length(0.01–99.99s) |
| Language support | Multi-language text-to-speech; best performance in English |
| Latency | No fixed latency published; hosted deployment is positioned for no-cold-start responsiveness |
| Best practice | Split 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.
Welcome to our advanced text-to-speech system! Experience high-quality voice synthesis with natural pronunciation and clear articulation.The meeting will begin at 9:30 AM <#0.5#> and will cover sales performance, regional forecasts, and next quarter planning.Welcome to our product overview. Today, we’ll introduce a faster and more natural voice experience for digital content.
💰 Pricing
| Item | Price |
|---|---|
| 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.
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