Eleven Turbo v2.5

eleven_turbo_v2_5

eleven_turbo_v2_5. Parcourez les API de modèles d’image, de vidéo et d’échange de visage. Testez un modèle puis intégrez-le avec une API REST unifiée.

Modèles associés

Eleven Turbo v2.5 Modèles associés 1

Référence complète des paramètres, schéma de sortie et tarifs actuels

Marché des API de modèles IAUne plateforme pour tout créerLe plus populaireConditionsParcourez les API de modèles d’image, de vidéo et d’échange de visage. Testez un modèle puis intégrez-le avec une API REST unifiée.
voice_id *Voice IDtext——
language_codeLanguage Codetext——
similarity_boostSimilarity Boostslider0.750 ~ 1 · step 0.05
stabilityStabilityslider0.50 ~ 1 · step 0.05

Référence complète des paramètres, schéma de sortie et tarifs actuels

En savoir plusUne plateforme pour tout créerParcourez les API de modèles d’image, de vidéo et d’échange de visage. Testez un modèle puis intégrez-le avec une API REST unifiée.
audio_urlstring

API

Parcourez les API de modèles d’image, de vidéo et d’échange de visage. Testez un modèle puis intégrez-le avec une API REST unifiée.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/eleven_turbo_v2_5" \
  -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_turbo_v2_5",
    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_turbo_v2_5", {
  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);

Documentation API

Turbo V2.5

A fast, cost-efficient text-to-speech model for natural and expressive voice generation.

Turbo V2.5 is an ElevenLabs text-to-speech model available on MaaS. It is designed for teams that need strong voice quality, fast turnaround, and predictable cost, making it well suited for production-grade audio generation. With no cold starts and ready-to-use inference performance, it fits both real-time and batch content workflows.

🚀 Key Features

  • Natural, expressive speech: Produces clear pronunciation, smooth pacing, and humanlike prosody for polished voice output.
  • Fast generation with no cold start: Delivers responsive performance for high-throughput production pipelines.
  • Rich voice selection: Supports a broad set of voice_id options, making it easy to match different brands, characters, or content styles.
  • Fine-grained voice control: Tune similarity and stability to balance speaker likeness, clarity, and consistency.
  • Improved English normalization: use_speaker_boost helps with English numbers, dates, times, and measurement-heavy scripts.
  • Affordable pricing: Low per-character cost makes it practical for both prototyping and scaled deployment.

🛠️ Technical Specifications

ItemDetails
Model architectureText-to-speech(TTS)
Model nameTurbo V2.5
Input formatText(string)
Output formatAudio
Maximum input length10,000 characters
Tokenization ruleEach character counts as 1 token
Voice selectionSet via voice_id such as Alice, Callum, Gigi, and others
Similarity controlsimilarity: 0.0–1.0; higher values increase target voice likeness but may introduce artifacts
Stability controlstability: 0.0–1.0; higher values generally improve delivery consistency
English enhancementuse_speaker_boost: improves normalization and reading of English numbers and units
Pause controlInsert <#x#> between words to control pauses from 0.01 to 99.99 seconds
LatencyFast inference suitable for production workflows
Cold startNone
Language supportMultilingual voice support, with strong English reading performance

Sample prompts

Note: This is a text-to-speech model, so the examples below are sample input scripts.

  1. Welcome to our advanced text-to-speech system! Experience high-quality voice synthesis with natural pronunciation and clear articulation.
  2. Today we shipped 12,450 units in Q3, with delivery scheduled at 8:30 AM on October 15th.
  3. Please wait <#1.2#> your verification code is 4829 <#0.8#> and will expire in five minutes.

💰 Pricing

ItemPrice
Text-to-speech$0.05 per 1,000 characters

💡 Best Use Cases

  • Voiceovers and narration: Ideal for explainer videos, tutorials, podcasts, and branded media.
  • Business audio automation: Useful for alerts, announcements, customer messaging, and information playback.
  • Finance and data-heavy scripts: Especially effective for content with numbers, dates, times, and measurements.
  • Multi-voice digital content: Great for teams producing character-driven or brand-specific audio at scale.

🔗 Related Models

  • Elevenlabs Turbo V2: An earlier Turbo-series option for users comparing speed, quality, and cost.
  • Elevenlabs Voice Changer: A complementary model for voice transformation workflows.