Models

Choose an AI voice model for each content workflow

The CN site model directory highlights voice models available in the current workspace.

Open AI dubbing

Available models

Quick comparison

ModelLanguagesUse case
ClaraChinese, English, Japanese, +25 languagesFast, clear speech for everyday narration, product explainers, and multilingual content.
Clara ProChinese, English, +18 languagesInstruction-following TTS for expressive delivery, character acting, and style control.
VeraChinese, English, Japanese, +30 languagesBalanced quality and cost for podcasts, ads, and conversational voiceovers.
Vera ProChinese, English, Japanese, +30 languagesHigher-fidelity output for premium brand spots and long-form narration.
Luma ProChineseVoice matching model optimized for Chinese broadcast, dubbing, and cloned voice workflows.
Nexa ProChinese, EnglishNatural emotional delivery for long-form reads, news delivery, and cloned speaker references.

Choose models by workflow

Quality

Production narration

Use stable, higher-quality models for courses, brand content, and publishing.

Speed

Prototyping and previews

Choose faster models when testing scripts, voices, or API output quickly.

API

Production API calls

Balance language coverage, credit multiplier, and stability for long-running use.

From model choice to generated output

1

Define the content goal

Decide whether the task is publishing, previewing, dialogue, or API integration.

2

Compare quality, speed, and cost

Use model language, stability, speed, and multiplier notes to choose a default.

3

Generate in the workspace

Pair the model with voice, language, and controls, then switch models if needed.