Localized ads consistently beat generic English ones on CPM and ROAS — the blocker was always production: dubbing one 15-second ad into five languages used to mean five recording sessions and hundreds of dollars per language. HeyGen v2 inside v4v collapses that chain: it generates the translated script, synthesizes the voice, and corrects the lip sync, keeping output at 9:16 ready for TikTok/Reels/Meta. Across 175+ languages, on the same pay-per-use credit balance — you localize the winning ad, not every test. Review the auto-translated script before rendering (product names and CTAs sometimes need a manual fix) and check sync on the first and last three seconds, where errors show if they occur.
The workflow
- Take a finished, proven ad — localize winners, not experiments
- Pick target languages; HeyGen v2 drafts the translated script
- Review the script — fix product names, brand terms, CTA phrasing
- Render: voice synthesis + lip-sync correction in one pass
- QA at 1× speed, watching the first/last 3 seconds for sync drift
Why this order saves money
Translation multiplies whatever you feed it. Localizing five variants of an untested concept is 5× wasted spend; testing in one language and localizing the winner is how the credit math stays sensible.
Paste a product link. The brief builds itself.
Generate product videos, UGC-style ads and hooks in about 5 minutes.
Try v4vFrom $7 · no subscription, ever · credits never expire
FAQs
How many languages does it support?
175+ via HeyGen v2, integrated as a model inside v4v's Lab.
Do I need a HeyGen subscription?
No — it runs on v4v's pay-per-use credits like every other model.
Is machine translation good enough for ads?
For most product ad copy, yes — with a human pass on product names and CTAs, which the workflow builds in before you spend render credits.
Facts checked July 16, 2026. Competitor claims from public pricing pages; verify before relying on them.