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text-to-audio

text-to-audio

ElevenLabs Eleven-V3

elevenlabs/eleven-v3

ElevenLabs eleven-v3 is a text-to-speech model available as a hosted endpoint; requests cost $0.1 per 1000 characters. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

This parameter supports English text normalization, which improves performance in number-reading scenarios.

Idle

Your request will cost $0.1 per run.

For $1 you can run this model approximately 10 times.

ExamplesView all

README

ElevenLabs — Eleven V3 Text-to-Speech

Eleven V3 converts written text into natural, expressive speech using ElevenLabs’ advanced deep-learning speech synthesis technology. It delivers clear pronunciation, smooth pacing, and lifelike emotion — ideal for voiceovers, narrations, podcasts, and digital content.

🎧 Key Features

  • High Naturalness — produces human-like intonation, timing, and articulation.
  • Multi-Language Support — generate voices in multiple global languages with automatic accent adaptation.
  • Customizable Parameters — control tone and realism via similarity and stability settings.
  • Speaker Boost — enhances clarity for English numerals, times, and measurements.
  • Wide Voice Library — choose from a rich set of built-in voices (see voice list here).

💰 Pricing

  • Just $0.1 per 1,000 characters !!!

Billing Rules

  • If the input length is less than 1000 characters, it will be counted as 1000 characters to pay.

🚀 How to Use

  1. Enter your text in the text field (up to 5,000 characters).

  2. Select a voice from the voice_id dropdown (e.g., Alice, Elli, George).

  3. Adjust optional parameters:

    • similarity: 0–1 (higher = closer to base voice tone)
    • stability: 0–1 (higher = consistent delivery)
    • use_speaker_boost: enhances number reading in English.
  4. Click Run to generate and preview your audio.

📝 Notes

  • Audio output is returned in MP3 format.
  • Works best for English, but supports multiple languages.
  • Long texts may require splitting for stable generation.
  • Ensure text avoids ambiguous punctuation for optimal rhythm and tone.
  • If the model returns an error message like incorrect voice ID, please modify the code according to the table mentioned earlier voice list here.