Why are credits required for dubbing and voice cloning?

Dubbing and voice cloning require credits because high-quality, consistent voice output currently depends on cloud-grade model pipelines.

Why local-only alternatives are not enough:

1. Some local models can produce basic voice clones, but consistency is weaker across long projects.
2. Dubbing requires timing-accurate segment-level synthesis to sync spoken words with original video timing.
3. Maintaining stable voice identity across many short TTS segments is significantly more reliable with cloud solutions.
4. Cloud pipelines also make it practical to reuse the same voice identity across future projects.

In short:

• Local models are useful for some tasks.
• Production-grade, reusable, timing-consistent dubbing still depends on cloud inference, which is why credits apply.

Related answers:

• How does AI dubbing work?
• What are AI Credits and how are they used?
• What languages are supported for transcription and dubbing?.