You shot one video. Now your team wants it in Spanish, Vietnamese, Arabic, Portuguese, and 26 other languages — by end of week. Done the old way, that means 30 voiceover bookings, a translation agency, a subtitle vendor, and a re-export queue that eats your sprint.
Done right, it's one master video and a repeatable pipeline. You translate once, dub once per language, sync the lips, swap the on-screen text, and QA each output against a checklist. The work scales because you stop treating every language as a fresh project and start treating it as a render from a single source.
This is the hands-on companion to our big-picture piece on AI video goes global. That one tells you why most AI video creation already happens outside English. This one tells you exactly how to ship into all of it.
Step 1: Lock your master video before you localize anything
The single biggest mistake in a multilingual video workflow is localizing while the source is still changing. Every edit to the English master multiplies across 30 outputs.
So freeze it. Your master is the approved, final cut — locked picture, locked audio, locked timing. Treat the lock date as a hard gate: no new B-roll, no trimmed scenes, no "quick" copy tweaks after this point. If the master changes, you re-run the pipeline, and that's expensive 30 times over.
Keep the master modular. Separate your voiceover track from your music and sound effects. If your narration lives on its own audio layer, you can swap it per language without touching the mix. Bake the music into one stem, the voice into another.
Pull on-screen text out of the burn. Any title cards, lower-thirds, captions, or callouts that are baked into the video frame are now 30 manual re-edits waiting to happen. Wherever you can, keep text as a separate layer or a template field so you can regenerate frames per language instead of re-rendering by hand.
A clean master with separated voice, music, and text layers is the difference between a one-day fan-out and a two-week slog.
Step 2: Prep and clean your source script
Your script is the source of truth for every translation, so fix it here, once, before it propagates.
Write a localization-ready transcript. Export the exact spoken script with timecodes. Mark scene boundaries so translators know where lines must land. If a sentence has to finish before a hard cut at 00:14, note it — that constraint travels into every language.
Strip idioms and untranslatable jokes. "Hit it out of the park" means nothing in most languages and wastes your transcreators' time. Flag any phrase that's culture-bound, plus puns, rhymes, and wordplay that won't survive a jump to Arabic or Vietnamese. Either rewrite them neutral or mark them "transcreate freely."
Lock your glossary. Product names, feature names, your tagline, legal terms — decide which stay in English and which get localized, and write it down. Without a glossary, "Brand Kit" becomes five different phrases across five Spanish-speaking markets. A two-column glossary (source term → approved per-language equivalent) keeps your brand consistent across all 30 outputs.
Step 3: Translate vs. transcreate — choose per line
Not every line gets the same treatment, and deciding wholesale "translate everything" is how you end up with stiff, robotic-sounding marketing in 30 languages.
Translate the functional stuff: instructions, UI references, factual narration, disclaimers. Accuracy matters more than flair, and a literal rendering is correct.
Transcreate the persuasive stuff: hooks, taglines, calls to action, emotional beats. Transcreation means recreating the intent and feeling in the target language, even if the literal words change completely. A CTA that lands in English ("Make it yours") might become something structurally different in Japanese to feel natural. This is where AI video for marketing lives or dies — a flat translated CTA converts worse than a transcreated one.
Vivideo's AI video translator handles the bulk translation pass across all 30 languages in one shot, giving you a solid first draft per language. You then mark the 5–10 high-stakes lines per video that need a human transcreation pass. Most of the script translates cleanly; you only spend human effort where persuasion is on the line.
Step 4: Decide dubbing vs. subtitles vs. voice clone — per language
This is a per-language business decision, not a default. Make it before you generate audio, because it changes everything downstream.
Full AI dubbing replaces the spoken track with a native-sounding voice in the target language. Use it for your priority markets, social-first content, and anything where viewers won't read subtitles (think autoplay feeds, mobile, broad consumer reach). Vivideo's AI video dubbing generates the new voice track timed to your original.
Subtitles only keep the original audio and add translated text. Use it for long-tail languages, B2B audiences who accept reading, or markets where you're testing demand before investing in a full dub. It's faster and cheaper per language — a sensible default for languages 11 through 30.
[Voice cloning](/features/ai-voice-generator) dubs in your own voice (or a consistent brand voice) across every language, so a single presenter "speaks" 30 languages. Use it when on-screen talent or brand-voice consistency matters. Our guide on how to add AI voiceovers walks through cloning and voice selection in detail.
A practical split: full dub for your top 8 markets, voice clone where you have an on-screen host, subtitles for the rest. Write the decision into your project sheet so nobody guesses later.
Step 5: Generate audio and sync the lips
Now you produce the localized audio per language and make it fit the picture.
Watch timing drift. Languages expand and contract. German and Vietnamese run longer than English; the same sentence can be 20–30% more syllables. If the dubbed line overruns the scene, it collides with the next cut. Vivideo's dubbing times the new track to your original, but flag any line that visibly runs long so you can shorten the transcreation rather than speed up the audio into a chipmunk.
Add lip-sync where faces talk. For talking-head video, avatars, or any tight close-up, mismatched mouths are jarring and instantly read as "translated badly." AI lip-sync reshapes the mouth movements to match the new language's phonemes. Apply it where a face is on screen and speaking; skip it for voiceover-over-B-roll, where there's no mouth to sync and it's wasted compute.
Keep the music and SFX stem untouched. Because you separated stems in Step 1, the new voice drops onto the same bed in every language. The mix stays consistent; only the narration changes.
Step 6: Adapt on-screen text and cultural references
Audio is only half the localization. What's on the screen has to change too, and this is where rushed batches break.
Regenerate text overlays per language. Titles, lower-thirds, captions, button labels in a product demo — all of it needs the translated string. Pull from your glossary so terms stay consistent. Watch for length: a 12-character English button label might be 22 characters in French and blow out of its box. Budget layout room.
Handle right-to-left languages deliberately. Arabic, Hebrew, and Urdu flip the entire layout. Text aligns right, reading order reverses, and any UI mockups or arrows pointing "forward" now point the wrong way. RTL is the most common silent failure in a 30-language batch — test it explicitly.
Localize the visuals, not just the words. Currency symbols, date formats (DD/MM vs. MM/DD), units, phone-number formats, and example names should match the region. A US dollar sign in a video aimed at a euro market signals "not made for you." Swap example data per market where it appears on screen.
Check cultural fit. Gestures, colors, holidays, and imagery carry different meanings across regions. A thumbs-up, a specific hand sign, or a seasonal reference that's fine in one market can be off or offensive in another. Flag anything culture-bound during script prep (Step 2) so it's already resolved by now.
Step 7: QA every language against a fixed checklist
You cannot eyeball 30 videos and call it done. Build one checklist and run every output through it identically — that's what makes quality scale instead of degrade by language 25.
For each language, verify:
- Audio matches video length — no narration bleeding past the final frame.
- Lip-sync holds on every close-up, not just the first shot.
- On-screen text is fully translated — no stray English left in a lower-third.
- Text fits its container — nothing clipped, overflowing, or overlapping.
- RTL languages render correctly — alignment, reading order, mirrored elements.
- Glossary terms are consistent — brand and product names match the approved list.
- Numbers, dates, currency, units are localized where shown.
Get one native-speaker check per priority language. AI gets you 95% of the way; a five-minute review by a native speaker catches the awkward phrasing and the tone misfire that automated QA can't. Prioritize your top markets for human review; trust the checklist for the long tail.
Step 8: Manage files and fan out from the master
Thirty videos means thirty files times however many formats each platform wants. Without a system, you'll ship the Portuguese cut to the Polish channel.
Name files predictably. Use a pattern like productdemo_v3_pt-BR_1080x1920.mp4 — campaign, version, locale code, dimensions. The locale code (pt-BR, es-MX, ar-SA) prevents the classic mix-up between Brazilian and European Portuguese, or Mexican and Castilian Spanish.
Keep the master as the single source. When the master changes — and eventually it will — you re-run the pipeline from Step 1, not patch 30 files by hand. Version your master (v1, v2) so you always know which source a given output came from. This is the whole point: one master, one pipeline, predictable fan-out.
Export per platform from each locale. Each language may need a 16:9 for YouTube, a 9:16 for Reels and TikTok, and a 1:1 for feed. Generate those aspect ratios from the finished localized cut rather than re-localizing per format.
Ship your first multilingual batch
Start small to prove the pipeline: take one finished video, lock it as a master, and push it through these eight steps for three languages — one full dub, one voice clone, one subtitle-only. You'll surface every timing, layout, and RTL gotcha at small scale before you commit to all 30.
Once the pipeline runs clean for three, the same steps fan out to thirty with almost no extra thinking — just more renders. Bring your master into app.vivideo.ai, run it through the AI video translator and AI video dubbing, and ship one video to the whole world.