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Read the articleAdapt the message as well as the words
A word-for-word translation can be grammatically correct and still feel out of place. The joke may not work locally, the currency may be wrong or the discount code may refer to an unfamiliar holiday. Images can feel unfamiliar too. Readers can notice these mismatches before they finish the caption.
AI can help produce a first draft in another language. It does not remove the need to check meaning, local details and the offer itself. Start with one market and one reviewer who knows how customers there speak. A smaller set of well-reviewed versions is easier to maintain when something changes.
Write directly in the language or translate a finished draft?
There are two ways to get a Hungarian post from an English brief. You can write the English post and translate it, or you can hand the model the brief and ask it to write the post in Hungarian directly. Both are useful. They suit different jobs.
Translate when the wording is fixed
- Legal text, terms of an offer, product specifications and safety notices.
- Anything a lawyer has already approved in the source language.
- Short factual posts where a change in phrasing could change the meaning.
Write directly in the language when tone matters
- Hooks, captions, video scripts and calls to action.
- Posts that rely on humor, a local reference or a conversational voice.
- Any content where the market's habits shape the structure, such as how long a caption runs or how many hashtags feel normal.
Writing directly from a brief starts with the intended message: who the reader is, what the offer includes and what the post should achieve. Translation starts with finished wording and follows its structure more closely. Choose the approach that best preserves the facts and gives the message a natural voice.
A glossary and a voice guide for every market
A model may use different names for the same product across several weeks of posts. Keep a short glossary for each market with preferred translations, names that stay unchanged and words to avoid.
A voice guide can be shorter than a page. Record whether you use formal or informal address, particularly in German and Spanish, typical sentence length, emoji preferences and two or three locally reviewed example posts. Include the guide and glossary in each request. A saved brand model helps you reuse that guidance.
A glossary entry can be as plain as one line. For a German outdoor shop: rain jacket is always Regenjacke, never Wetterjacke; Gore-Tex is never translated; sale stays in English because German shoppers use it. Twenty lines like that, written once, prevent most of the inconsistency that makes a brand feel machine-made.
Localize the offer, the currency and the visuals
Before scheduling a language version, check the offer and visual details as well as the text:
- Currency and price format. Show the local currency, the local decimal and thousand separators, and whether prices include tax, which varies by country.
- Offer details. Free shipping thresholds, delivery times and return terms must match what you actually provide in that market.
- Calendar. Seasonal hooks change. A winter promotion is a summer problem in the southern hemisphere, and public holidays differ even between neighboring countries.
- Imagery. Street scenes, packaging text, clothing, units of measure and the people shown should look plausible to a local. Text baked into an image has to be regenerated in the target language, not overlaid as a translated caption on an untouched original.
- Legal wording. Health, finance and comparison claims are regulated differently in each market. Get local advice for anything beyond plain product description.
For image text specifically, choose a tool that renders legible copy in the target language and check every accent and special character by eye. Our comparison of image generation models for brand content covers which ones handle text well.
Video localization and lip-sync
For video, choose whether you need translated subtitles, a new voice track or a new speaking presenter. Some tools generate sound with the picture; others require a separate audio step. Check support for each target language and review the finished clip by ear as well as by eye. Lip-sync alone does not tell you whether the words sound natural.
That opens three practical routes for a small brand:
- Regenerate the clip in each language. Best for presenter or avatar videos, where the speaker's mouth has to match the audio.
- Keep the visuals, replace the audio. Suits product demos and b-roll, where nobody is speaking to camera. Add subtitles in the local language and check line breaks.
- Subtitles only. Fine for silent, text-led clips. Many viewers watch with the sound off anyway.
Two cautions. Names, brand terms and numbers are where synthetic speech most often slips, so listen to each of those. And if a spoken claim is sensitive, such as a guarantee or a health statement, record it with a human voice and keep it. Presenter clips have their own disclosure needs, covered in our piece on AI avatars and UGC-style ads.
Review by native speakers
Have someone familiar with the market read and watch every version before publication. For routine marketing copy, a local customer, freelancer or team contact can help. Ask a clear question: would a customer here believe this came from a local team?
Use a shared checklist: meaning preserved, natural wording, correct names and numbers, accurate offer and plausible visuals. Ask reviewers to distinguish necessary corrections from personal preferences. Apply corrections; add preferences to the glossary if two reviewers agree. After two or three rounds, the updated glossary should reduce repeated corrections. Arrange and pay for the first month of reviews, even if someone initially offers to help, so the work has a dependable place in the schedule.
A launch plan: Fernwood Outdoor enters Germany and Spain
Fernwood Outdoor is a fictional UK shop selling waterproof jackets and camping gear, with about 12 posts a week in English. It wants to test Germany and Spain over 10 weeks with two part-time reviewers and a modest ad budget.
- Weeks 1 and 2, groundwork. Interview one reviewer per market. Write the glossary (about 60 terms) and a one-page voice guide. Decide the German address form and the Spanish register. Set local pricing, shipping terms and return windows.
- Weeks 3 and 4, pilot content. Generate 10 posts natively per market, based on the three best English posts. Regenerate the hero images with local-language text. Review and log every correction.
- Weeks 5 and 6, video. Produce two product demos with replaced audio and one presenter clip regenerated with lip-sync in each language. Reviewers approve names and specifications by ear.
- Weeks 7 and 8, publish. Schedule to each market's peak hours and its own calendar, four posts a week at first. Pause any post that draws a language complaint.
- Weeks 9 and 10, decide. Compare each market against its own goal, set in week 1. Double down where saves, qualified clicks and orders move. Keep the glossary as a living document.
Two markets over ten weeks give the team time to understand what works. Starting with ten languages would make review and interpretation much harder.
Measuring each language
Track every version on its own line: watch time, completion, saves, qualified clicks and orders. A German post with fewer views and more purchases beats a Spanish one that gets applause and nothing else. A clear naming convention, such as campaign, market and version, keeps the reports readable when the numbers diverge. Wyzowl's 2026 research puts video use among businesses at 91%, so your audience has seen plenty of polished clips. What they respond to is relevance. For the wider question of what your data can and cannot tell you, see AI marketing measurement and first-party data.
Keeping the versions connected
The difficult part is keeping later changes consistent across markets. SEENALYZE AI helps you draft and organize language versions with your brand guidance. When the offer changes, review and update each affected version before publishing. Start with one language pair and make that routine manageable.
