How to Localize AI Videos for Multiple Markets

B2B teams now make product demos, webinars, help videos and ads with AI video tools, and the next request is usually the same video in German, Spanish or Japanese. This playbook covers how to localize that video into several markets without losing brand terms, pronunciation, legal footing or quality.

This applies to teams localizing finished or AI-made video into two or more languages with AI dubbing or translation tools. AI handles translation and voice. Meaning, claims and cultural fit still need a native reviewer, and legal labelling rules vary by market.

How To Localize AI Videos For Multiple Markets, Step By Step

Localizing an AI video for several markets works best as one master workflow, because 76% of online shoppers in CSA Research's 2020 survey of 8,709 consumers in 29 countries prefer product information in their own language and a fix made in the master script reaches every version at once.

Localization is a different job from AI video generation, which makes new scenes from prompts. Here the video already exists, or is being made once in the source language, and the work is carrying it into each market intact.

The case for one master is simple arithmetic. The script, the glossary and the pronunciation list are fixed once, in the source language, and every market is produced from them. A wrong product name fixed in the master is fixed in five languages. A wrong product name fixed in the German render is fixed in one, and returns in the next video.

The same CSA Research study found that 40% of shoppers will never buy from websites in other languages. Many vendor guides quote native-language figures with no source at all. The original is a 2020 consumer survey, so treat it as a signal of preference, not a B2B conversion forecast.

Steps 2 to 4 are where most of the quality is won. Producing the versions is the fast part. Each step below covers one stage in this order.

Subtitles Vs AI Dubbing Vs Lip Sync For Each Market

Subtitles suit short or low-stakes clips, AI dubbing suits demos and webinars, and lip sync earns its extra cost only on front-facing presenter video, where HeyGen prices its lip-sync engines above audio-only translation. Choose the format per market and per video type, not once for the whole library.

Subtitles. Subtitles need a translation per language and keep the original voice. They break when the translated line will not fit. Netflix's Timed Text Style Guide allows at most two lines per subtitle and at most 7 seconds per subtitle event, with a minimum of 5/6 of a second. Translated lines can run longer than the source, so a fast-talking demo can outrun its subtitles.

AI dubbing. Audio-only dubbing replaces the voice track and leaves the picture alone. It fits demos, screen recordings and webinars where the speaker is small, off screen or a voice-over. HeyGen's Audio Only engine uses 4 credits per minute of video, with no lip sync.

Lip sync. Lip sync also reshapes mouth movement to match the new language. HeyGen's Speed engine uses 6 credits per minute and is optimised for front-facing video. Its Precision engine uses 10 credits per minute, gives what HeyGen calls its highest-quality lip sync and copes better with speaker switches and side-profile shots. VEED's lip sync is in beta, increases processing time, can take several hours and downsamples output to 1080p.

Several speakers. Webinars and panels need a tool that separates speakers. ElevenLabs Dubbing detects speakers and aims to keep each original voice's characteristics. VEED uses the same voice for every speaker in a dubbed video, which turns a two-person panel into one voice talking to itself.

The decision rule is short. Subtitle anything under a minute or low in stakes, dub anything where the message matters but the face does not, and pay for lip sync only where a presenter looks straight into the camera.

How To Prepare A Script For AI Video Localization

A script localizes well when its sentences are short, its idioms are removed and its product names sit in a glossary marked do-not-translate. HeyGen applies that rule automatically per target language when its glossary is selected in Translate, and Rask AI stores Do not translate terms per language pair in its Translation Dictionary. Fixing the source script first costs less than fixing every translated render later.

Write for translation. Before anything goes into a tool, edit the master script against these rules:

• Short sentences, one idea each. Machine translation and AI voices both handle them better.
• No idioms, puns or wordplay that only work in English.
• Numbers, dates, currencies and units written plainly, so each market can convert them.
• On-screen text kept out of the rendered picture where possible, as an editable layer or caption.
• Room for text expansion in captions and lower thirds, since common subtitle standards such as Netflix's allow two lines.
• Claims no stronger than the source. A translation can harden "helps reduce" into "eliminates".

Decide what the video must say. The human creative brief, not the tool, decides what the video must say in each market. A tool translates the words it receives. It cannot know which claim legal cleared for Germany and not for France.

Build the glossary. List every brand name, product name and feature name. Mark brand and product names do-not-translate, and fix one approved translation per language for each feature name. HeyGen's Brand Glossary has a Don't translate rule that keeps a term as written and a Force Translate rule that fixes a translation, and the target language's rules apply automatically when the glossary is selected in the Translate workflow. HeyGen imports take one sheet of up to 1,000 rows and 5 MB.

Rask AI's Translation Dictionary saves a preferred translation for a term or marks it Do not translate, with several dictionaries possible per language pair. CSV imports of up to 10 MB work in the desktop version only, and existing terms take priority over imported duplicates. Clean the sheet before importing, or old entries win.

Transcreate the hook and the call to action. Opening lines and calls to action rarely survive literal translation. Have a native speaker rewrite them for the market, then record the approved line in the sheet so every later video reuses it.

A single localization sheet holds all of this. Keep it next to the master script and update it before each new video, not after.

Term | Do not translate | Approved translation per locale | Pronunciation | Notes
{{term}} | {{do-not-translate}} | {{approved-translation-per-locale}} | {{pronunciation}} | {{notes}}

One row per brand name, product name, feature name and recurring phrase.
{{approved-translation-per-locale}} holds one entry per language, for example de-DE, es-ES, ja-JP.
{{pronunciation}} holds an alias spelling per language, plus a phoneme entry where the voice model supports it.
{{notes}} records who approved the entry and which videos use it.

How To Control Pronunciation In AI Dubbing

AI voices mispronounce brand names unless you give them a pronunciation list, and the W3C Pronunciation Lexicon Specification format that ElevenLabs accepts lets one file hold an alias spelling or a phonetic entry for each term. A pronunciation list is its own step, separate from the glossary that controls translation.

The standard behind it. PLS 1.0 became a W3C Recommendation on 14 October 2008. It maps words or short phrases to their written forms and their pronunciations, with phoneme entries for how a word sounds and alias entries for acronym expansions and substitutions. An alias is a respelling the voice reads instead of the original, such as a phonetic spelling of an unusual product name. A phoneme entry spells the sound itself, in IPA or CMU Arpabet.

HeyGen. HeyGen's Brand Glossary takes a typed or recorded pronunciation for one language or for All languages. All languages applies to any language without its own entry, which HeyGen says can cause unintended results. A Spanish-sounding respelling set for All languages will also reach Japanese. Give each market its own entry for every name that matters. HeyGen's pronunciation preview is only a sample, and the final video uses the voice set in the project.

ElevenLabs. ElevenLabs pronunciation dictionaries take TXT or PLS files and support only phoneme and alias replacements. Phoneme tags accept CMU Arpabet and IPA, with CMU recommended for v2 models, but they work only with the eleven_flash_v2 model. Multilingual v2 does not support phoneme tags, so aliases are the workaround there. Dictionaries work in ElevenCreative Studio, in Dubbing Studio and in speech synthesis through the API. Dubbing Studio itself is now legacy and in maintenance mode, with critical bug fixes only.

Rask AI. Rask AI's Translation Dictionary sets how a term is translated, and the voice is then generated with the selected engine. Treat it as a translation control. Check how each Rask voice says your brand names in the rendered audio.

Pronunciation controls differ by tool and by model. A list that works in one tool does not carry over automatically to another, and a phoneme entry that works on one ElevenLabs model is ignored on another. The rule that holds everywhere is to write an alias spelling per language for every brand and product name, then listen.

Voice Cloning Consent For Localized Video

Before cloning a presenter's voice into another language, get their prior, explicit permission in writing or on a recording that names every language and use, the standard HeyGen sets in its voice terms. A clone speaks words the presenter never recorded, in languages they may not speak, so the release has to cover that.

What HeyGen's terms require. HeyGen's Voice Supplemental Terms allow another person's voice to be cloned only with that person's prior, explicit and informed permission, obtained in writing or another verifiable recorded form. The speaker must be told that AI can generate speech they never recorded. The permission should state its scope, including the languages or contexts covered. No clones of anyone under 18 are allowed, and celebrities, public figures and political candidates need permissions plus HeyGen's prior written approval. Deceptive impersonation and false endorsements are prohibited.

What ElevenLabs checks. ElevenLabs Professional Voice Cloning includes a verification step to make sure you have permission to use the voice. The voice owner reads several lines of on-screen text aloud and records it. Instant Voice Cloning creates a clone from a short sample without training.

Your own release carries the obligation. Whatever the tool checks, the team's own signed release is what proves consent. A clone made for one market is often reused in the next, so the release must name every language, not only the first. The same applies to a face. A presenter's avatar likeness needs the same kind of release as the voice, which AI avatar video tools handle through their own consent steps.

• The speaker is named, and their own voice is the one being cloned.
• The speaker has been told AI can generate speech they never recorded.
• Every language and channel the clone may be used in is listed.
• The duration of the permission and how to withdraw it are written down.
• The signed form or recording is stored where legal can find it.
• The people allowed to generate new lines with the clone are named.
• No minors, and no public figures without the tool's own approval process.

Renew the release when the scope grows. A webinar clone cleared for Spanish and German is not cleared for a paid ad in Brazil.

This is general information, not legal advice.

Which Tools To Use For AI Video Localization

No single tool covers the whole localization workflow, so HeyGen translates presenter video with lip sync, Rask AI dubs existing footage with what it describes as lip sync, ElevenLabs handles voices and pronunciation, VEED adds dubbing to everyday editing, and Smartling manages glossaries and subtitle files. Choose by the step you need, not by a single winner.

These five tools each cover a different step, from avatar and presenter translation to dubbing existing footage, voice and pronunciation, editing and subtitles, and translation management. They are not ranked, because each one solves a different step and one workflow can combine several of them. Readers choosing a general production tool first can compare AI video tools for B2B marketing.

HeyGen For Presenter Video Translation

• Role in the workflow. The production step for presenter video, where lip sync matters.
• Language reach. Up to 10 target languages per job, from a single-language source.
• Script and term control. Brand Glossary rules for Don't translate and Force Translate, applied automatically per target language.
• Pronunciation control. Typed or recorded pronunciation per language or for All languages, with a preview that is only a sample.
• Voice and consent. Voice terms that require prior, explicit, informed permission naming its scope. Enterprise users can upload local voice files for a more accurate per-video clone.
• Review step. Word-by-word proofreading of the translated script before generating, on Pro, Business, Team and Enterprise plans.
• Cost meter. Credits per minute by engine, at 4 for Audio Only, 6 for Speed and 10 for Precision.
• Limitation. Per-video length caps of 30 minutes on Creator and Pro and 60 minutes on Business, so long webinars need Enterprise or splitting.

Rask AI For Dubbing Existing Footage

• Role in the workflow. The dubbing step for footage that already exists, with subtitles, dubbing and lip sync in one workflow, as Rask AI describes it.
• Language reach. Rask AI says it produces 135+ language versions from one master recording.
• Script and term control. A Translation Dictionary per language pair, with preferred translations and Do not translate terms of up to 1024 bytes per side.
• Voice and consent. Up to 10 pre-recorded voice samples in 57 languages, saved in a Voice Clone Library, with 1 to 10 minutes of audio or video per sample.
• Review step. Rask AI says translated subtitles and transcripts can be edited directly and regional leads invited as reviewers.
• Cost meter. Voice clone slots by plan, up to 3 voices on Creator Pro and up to 10 on Business, with custom limits on Enterprise.
• Limitation. Custom clones work only in projects that use the Languages with Voice Clone option, which covers 57 languages, not the full 135+.

ElevenLabs For Voices And Pronunciation

• Role in the workflow. The voice and pronunciation step, for dubbing or for voice tracks laid into another editor.
• Language reach. Dubbing across 90+ languages, with speaker detection.
• Script and term control. Dubbing v2 is the default automatic flow, with edits made in the interface.
• Pronunciation control. Pronunciation dictionaries in TXT or PLS, with phoneme and alias replacements.
• Voice and consent. Professional Voice Cloning includes a verification recording read by the voice owner. Cloning strength runs from 0 to 10, with 7 as the default.
• Review step. Edits in the Dubbing v2 interface. Transcript editing and audio regeneration through the API are Enterprise-only.
• Cost meter. Dubs made without a paid plan carry a watermark that cannot be removed, so commercial dubs need a paid plan.
• Limitation. Phoneme tags work only on the eleven_flash_v2 model, so Multilingual v2 voices rely on aliases.

VEED For Editing, Subtitles And Dubbing

• Role in the workflow. Subtitles and quick dubs inside the editing step, for social clips and short help videos.
• Language reach. Source audio in over 70 languages.
• Script and term control. The translation can be fixed before publishing. Proofread and SRT upload before dubbing are Enterprise-only.
• Voice and consent. Clone the original voice or choose a stock AI voice. A new clone is generated for each video.
• Review step. Proofread to validate and edit the translation before dubbing, on Enterprise.
• Cost meter. Dubbing hours per year by plan, minute-based translations that do not roll over, and billing per seat.
• Limitation. The same voice is used for every speaker in a dubbed video, and an existing clone cannot be reused.

Smartling For Glossaries And Subtitle Files

• Role in the workflow. The translation management step, for teams localizing many videos or many languages with human review.
• Script and term control. Core includes a 180-day translation memory and a basic glossary. Enterprise adds unlimited translation memory, customisable glossary and style guides.
• Review step. Linguists see the video in the CAT tool when a video file is added as visual context, and Smartling recommends always adding one.
• Cost meter. Translation priced per word, by service level.
• Limitation. Video context is tied to one subtitle file, and video URLs must be publicly accessible and not embedded in a web page.

Smartling also translates SRT and WebVTT subtitle files while keeping each entry's timecodes, and it checks that no entry has more than two lines.

How Much Does AI Video Localization Cost?

On credit-metered tools such as HeyGen, AI video localization is billed by the minute of source video times the number of languages, so a 10-minute demo dubbed into five languages on HeyGen's Speed engine uses 300 credits before any human review. Budget by minutes times languages times engine, then add the review time and any human translation on top.

A worked example. A 10-minute demo into five languages is 50 minutes of output. On HeyGen's Speed engine at 6 credits per minute, that is 300 credits. On Precision at 10 credits per minute, the same job is 500 credits. Audio Only at 4 credits per minute brings it to 200. A HeyGen proofread costs 4 credits per minute only if the translation is never generated.

Human translation. Smartling prices translation per word, starting at $0.0075 for machine translation, $0.06 for AI translation, $0.12 for AI human translation and $0.20 for human translation. A 1,500-word webinar script in human translation is about $300 per language at the starting rate.

Allowances run short. VEED's dubbing allowance is one-time use on the Creator plan and below, 6 hours per year on Pro and 12 hours per year on Studio. VEED's translations are minute-based and count toward the plan, unused minutes do not roll over, and plans are charged per seat. VEED's unlimited subtitles carry a fair-use limit of 50 hours per month. A budget based on plan headlines runs short.

Review is often plan-gated. The review step often sits on a higher plan. HeyGen proofreading starts on Pro, VEED proofread is Enterprise-only, and ElevenLabs transcript editing through the API is Enterprise-only. Price the plan that includes review, not the plan that only renders.

How To Review Localized AI Videos

Every localized AI video needs a native reviewer to watch the full render, because a script proofread catches wording while only the final video shows mistimed subtitles, misspoken names and imagery that reads differently in another market. Run review in two passes, the script before rendering and the video after it.

Pass one, the script. Proofread the translated script before rendering wherever the tool allows it. HeyGen offers word-by-word proofreading before generating. VEED offers proofread before dubbing on Enterprise. Rask AI says regional leads can be invited as reviewers and can edit translated subtitles and transcripts. Fixing a word here is far cheaper than a new render, which is what the same fix costs after rendering.

Pass two, the render. A native reviewer watches the full video, end to end, at normal speed. They check meaning, tone, claims, the pronunciation of every name, on-screen text, units and subtitle timing against the two-line limit.

Cultural review. Translation misses what the picture says. Examples, humour, colours, hand gestures, holidays and legal claims all differ by market. A product demo built around a US tax deadline means little in Japan.

Keep terms consistent across videos. Translation memory and a glossary keep repeat terms the same in every later video. Smartling's Enhanced Subtitle Parsing joins sentences split across subtitle entries into single strings, which improves translation memory leverage. Adding the video as visual context lets linguists see what each line refers to.

• Meaning matches the master script, with no claim made stronger.
• Brand and product names are spoken as the pronunciation list says.
• On-screen text, lower thirds and captions are translated and fit.
• Numbers, dates, currencies and units suit the market.
• Subtitles stay within two lines and keep pace with speech.
• Each speaker has the right voice.
• Gestures, colours, examples and humour read well in the market.
• The call to action points to a page in the same language.

Do You Need To Label AI Dubbed Videos?

In the EU, Article 50 of the AI Act requires deployers to disclose deepfakes from 2 August 2026, which can cover a real presenter dubbed with a cloned voice, while YouTube exempts creators who clone their own voice for dubs. Label dubbed presenter video in EU markets, and add the platform label wherever the voice is someone else's.

The EU AI Act. Article 50 covers image, audio or video that is artificially generated or manipulated. A real presenter who appears to say a sentence in Italian they never said can fall under it. For evidently artistic, creative, satirical or fictional work, the duty is limited to disclosing it in a way that does not hamper the work. A separate machine-readable marking duty applies to the AI systems themselves. A May 2026 provisional agreement gives generative AI systems already on the market before 2 August 2026 until 2 December 2026 for that marking duty, and it does not delay the deepfake disclosure duty.

YouTube. YouTube requires creators to disclose realistic altered or synthetic content that makes a real person appear to say or do something they did not. Cloning your own voice to create voiceovers or dubs does not require disclosure, and creating captions counts as a minor edit. Labels for non-music AI audio may appear in the expanded description.

Where the label goes. Put the disclosure where viewers see it while the dubbed presenter speaks, as an on-screen line or the platform's own label. Keep the same wording in every market version and store it in the localization sheet, translated like any other approved term.

Other platforms and markets set their own rules, so add each one to the publishing checklist for that market.

This is general information, not legal advice. Check with counsel for each market.

How To Measure AI Video Localization Success

Measure a localized AI video against the original in the same market, on completion rate and conversion to a localized landing page, and keep dubbing only the markets where the dubbed version beats subtitles. Compare each version with the market's own baseline as well, so one strong launch does not hide a weak market.

What to track per language.

• View-through or completion rate.
• Watch time per viewer.
• Click-through to a localized landing page.
• Demo or trial starts from the video.
• Support-ticket deflection, for help videos.

The decision rule. Keep dubbing a market when the dubbed version beats the subtitled one on completion and on conversion. Drop to subtitles where it does not, and move the saved minutes to a market that responds.

Close the loop to the page. The stakes are real. In the CSA Research survey, 40% of shoppers will never buy from websites in other languages. A localized video that sends viewers to an English-only page throws away the gain the dub made, so localize the landing page before measuring the video.

Read results per market, not in total. A blended completion rate across five languages hides the one market where the dub underperforms. Report each language on its own line next to its source-language baseline. Review the numbers before the next video goes into production, so the format choice in the first step of the workflow rests on real results.

Change one thing per test. Test dubbing against subtitles, or one voice against another, but not both at once. The same discipline behind AI video ad variations applies here. Hold the cut, the thumbnail and the call to action constant while the one variable changes, then read the result per market.

Frequently Asked Questions

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