~/Eleven Multilingual V2
Text to Speech

Eleven Multilingual V2

Most stable TTS model for professional content.

範例

Sample music output

上方顯示的是範例輸出。提示詞和設定已預填在左側。

您的請求將花費 $0.10 每次執行。 使用 $10 您可以執行此模型約 100 次。

README

ElevenLabs / Eleven Multilingual V2 — Text to Speech (eleven_multilingual_v2)

Eleven Multilingual V2 是 ElevenLabs 最穩定的文字轉語音模型,非常適合專業長篇內容生成。

亮點

  • •最穩定:在長內容中保持一致的品質。
  • •29 種語言:廣泛的多語言支援。
  • •長篇內容:每次請求最多 10 分鐘音訊。
  • •專業級:非常適合企業和教育內容。

參數

  • •prompt* – Text to convert to speech in any of 29 languages (max 10000 characters). Write your text in the target language.
  • •voice – Voice preset to use
    • • George (British narrator)
    • • Rachel (American female)
    • • Adam (American male)
    • • Bella (British female)
    • • Josh (American male)
    • • Arnold (Deep male)
  • •output_format – Audio output format
    • • MP3 128kbps
    • • MP3 192kbps
    • • MP3 64kbps
    • • PCM 24kHz
  • •stability – Voice stability (0-1)
  • •similarity_boost – Voice similarity boost (0-1)
  • •speed – Speech speed (0.25-4.0)

定價

$0.10 每次生成

如何使用

  1. 1.輸入您的文字內容(最多 10,000 個字元)。
  2. 2.選擇語音和語言設定。
  3. 3.調整語音參數以獲得所需輸出。
  4. 4.生成並下載您的音訊。

更多可試用的模型

•企業影片:專業旁白。
•線上教育:教育內容創作。
•長篇內容:延伸播客和音訊文章。
•在地化:多語言內容製作。

Frequently Asked Questions

What is the Eleven Multilingual V2 API?
Most stable TTS model for professional content.
How much does Eleven Multilingual V2 cost via API?
Eleven Multilingual V2 costs $0.1000 per generation through Renderful's API. No subscription required — pay only for what you use.
How do I use Eleven Multilingual V2 via API?
Sign up for a free Renderful API key, then send a POST request to the /v1/predictions endpoint with model "eleven_multilingual_v2". See the documentation at renderful.ai/docs for code examples in Python, JavaScript, and cURL.
What type of content does Eleven Multilingual V2 generate?
Eleven Multilingual V2 is a text to audio model by ElevenLabs. Key features include: 29 languages, Most stable, Long-form content.
Is the Eleven Multilingual V2 API fast?
Eleven Multilingual V2 has medium generation speed. Results are delivered via polling or webhook callback for seamless integration.