Video localization is not sentence-by-sentence translation. It coordinates scripts and terminology, speakers and voice, subtitles and on-screen text, product and cultural expression, pacing and calls to action, platform specifications, and rights and AI disclosure. Establish a human-review baseline with one market and representative assets before scaling languages, SKUs, and variants.
What is available now, limited, or planned
Supports multilingual voice and subtitles, multi-speaker recognition, authorized voice, and foundational brand treatment.
- Voice and subtitle translation across 30+ languages
- Multi-speaker recognition and authorized voice cloning
- Batch processing of logos, brand names, intros, and outros
- Translation, remix, and selected basic processing tasks
Results, consumption, and usable variants depend on language, source audio, rights, settings, and platform specifications.
- Cross-platform automatic reformatting is not currently provided
- Culture, product facts, and brand expression require human review
- Voice cloning is limited to the speaker or explicitly authorized voices
Myth: accurate translation does not complete localization
Literal translation may preserve source-language order, incorrect units, long subtitles, unnatural voice, and inappropriate calls to action. Localization begins with audience, objective, product facts, brand voice, and destination platform, then decides what to translate, rewrite, remove, or add. Natural language does not replace factual review of product claims, pricing, promotions, or regulated statements.
Stage 1: Script, terminology, and product expression
Create a glossary for product names, models, functions, materials, units, terminology, prohibited claims, and calls to action, then rewrite the script for the target market. Titles, speech, subtitles, and on-screen text should use one fact source so names, specifications, and promotional conditions remain consistent across variants.
Stage 2: Speakers, voice, and authorization
Smart BIAI supports multi-speaker recognition and authorized voice cloning. Decide who speaks each segment, whether to retain source audio, and whether to use recorded or authorized voice, then review pace, pauses, tone, and terminology. Voice cloning is limited to the speaker or explicitly authorized voices and must not imitate or impersonate a third party without permission. Results also depend on language and source-audio quality.
Stage 3: Subtitles and on-screen text are separate tasks
Subtitles require line length, timing, reading speed, segmentation, and speaker alignment. On-screen text also includes selling points, buttons, packaging, units, and disclosures. Translation length may obscure subjects or exceed safe areas, so review it in the actual frame and target aspect ratio rather than only in a text sheet.
Stage 4: Cultural context, pacing, and calls to action
Local teams should review forms of address, humor, gestures, scenes, holidays, price expression, comparisons, restricted wording, and calls to action. Source pacing may not fit the audience, so adjust shot length, information order, and closing CTA where needed. Cultural adaptation is editorial work grounded in real market context, not an automatic AI decision without context.
Stage 5: Brand treatment and traceable versions
Apply logos, brand names, typography, colors, intros, outros, and covers under brand rules, and connect filenames or version fields to SKU, market, language, platform, reviewer, and update time. Batch treatment reduces repetitive work but does not replace brand review; headquarters and regional teams should define who may change and approve brand elements.
Stage 6: Prepare by platform—not one universal export
Core assets can be reused, but TikTok, YouTube, Instagram, and Facebook differ in aspect ratio, duration, subtitle safe area, covers, titles, fields, and AI-content rules. Cross-platform automatic reformatting is not currently provided, so teams prepare platform variants and validate specifications and required fields before publishing.
Stage 7: Rights, AI disclosure, and human review
Confirm rights to source video, people, voices, music, trademarks, fonts, locations, and references, and disclose realistic AI content under destination-platform rules. Review representative market, speaker, product, and platform variants, record terminology, subtitle, voice, brand, and specification issues, and scale only after thresholds are met. Outputs may be used for lawful commercial marketing, but generation does not grant third-party rights.
Pre-launch checklist: twelve required confirmations
Confirm twelve items: defined market and audience; consistent product facts and terminology; non-literal script; clear speaker and voice rights; natural voice and correct terminology; readable speaker-aligned subtitles; correct on-screen text and units; local review of cultural expression and CTA; consistent brand elements; compliant platform ratio, duration, safe area, cover, and fields; confirmed asset rights and AI disclosure; and traceable version, reviewer, and update time. Do not scale while any critical item is unclear.
Questions enterprise teams ask
Which localization languages are supported?
Voice and subtitle translation supports 30+ languages, including English, German, French, Japanese, Italian, Malay, and Thai. Results depend on language, accent, speaker, source-audio quality, and task settings; terminology, brand expression, and local cultural context still require human review.
Is subtitle translation enough for a multilingual video?
No. Localization also covers script and terminology, voice, on-screen text, product and cultural expression, pacing, calls to action, brand, platform specifications, rights, and AI disclosure.
Can it identify multiple speakers for voice processing?
Multi-speaker recognition and authorized voice cloning are supported. Review speaker assignment, pace, tone, terminology, and voice rights per segment; results depend on language and source-audio quality.
Can any person's voice be cloned?
No. Voice cloning is limited to the speaker or explicitly authorized voices. Unauthorized imitation or impersonation of a third party is prohibited, and commercial use must follow applicable law and platform rules.
Can one video be published unchanged across every platform?
Core assets can be reused, but platforms differ in ratio, duration, safe area, covers, titles, fields, and AI-content rules. Automatic cross-platform reformatting is not currently provided, so variants must be prepared and validated per platform.
Does localization add a Smart BIAI watermark?
Smart BIAI does not add a product watermark. For realistic AI media, users must still apply the correct AI-content disclosure under TikTok, YouTube, Instagram, Facebook, or other destination-platform rules and continue to meet copyright, likeness, voice, trademark, and asset-authorization obligations.
How should teams decide when to scale languages and SKUs?
Review representative samples and set thresholds for terminology, subtitle and voice rework, product facts, brand issues, platform specifications, and delivery time. Expand languages, SKUs, platforms, and variants only after meeting them.