How to Create Video Ads in Multiple Languages Without Hiring Translators or Actors

Running your ads in only one language is sort of like skipping potential earnings. Most brands are aware of this fact however the conventional approach to multilingual video advertising, e.g. hiring translators, local voice talent, and managing multiple production timelines, is quite expensive and slow that most small and medium-sized brands simply don't try it. They resort to English and think their target audience will understand.

That logic is no longer valid. The software now at our disposal for creating multilingual video ads is truly good, and the difference between "professional quality" and "AI-generated" has become so small that for performance advertising, the difference hardly matters. Companies are creating ads in Spanish, French, German, Portuguese, Japanese, and various other languages without a single translation or voice actor booking.

Here is the actual process, what to be careful about, and how to create a workflow that can be used in different markets without increasing production costs significantly.

Why Multilingual Video Ads Are Worth the Effort

Actually, the proof of this has been quite strong and has remained unchanged over time: consumers purchase more when they are targeted in their own language. It's not a marginal difference. In fact, data from different e-commerce sectors regularly demonstrate a hike in conversion rates by 20 to 70 percent if ads and landing pages are localized rather than just served in English to non-English-speaking audiences.

Also, there is a plus in getting the right audiences. If you launch local language ads in the region you are targeting, you are basically talking to the audience that probably has fewer competitors than those who are targeted using English language ads. For example, Spanish language Facebook ads often have lower CPMs and higher engagement rates than their English counterparts which are targeting similar demographical audiences.

It has never been a question of desire, but of implementation - that is, the difficulty of doing it. Making a video ad in English is one production cycle. Making the same ad in eight different languages used to imply eight production cycles, eight groups of talents, and eight sets of revision rounds. So the smart math showed multilingual advertising as an indulgence of brands with really big production budgets. AI has transformed it into an achievable alternative for almost everyone who is doing paid media.

How AI Handles Translation and Voiceover

The technical process of creating multilingual AI video ads relies on three main capabilities: translating the script, synthesizing the voice, and in some cases, matching the lip movements of the avatar in videos.

AI-based script translation is now capable of producing copy for advertising with a level of quality more than sufficient for advertisements. It's not always perfect - sometimes idiomatic expressions require a human review, and occasionally marketing language needs to be adjusted to fit a different cultural context - however most of the work is done automatically and the accuracy is good enough that even a non-speaker can confidently work with the final product.

Voice synthesis is the area where technology has really evolved in leaps and bounds. Modern neural speech synthesis models can generate AI voices in major world languages that not only sound natural, but also convey the appropriate emotional tone and can be modulated for pacing and style of delivery (https://en.wikipedia.org/wiki/Speech_synthesis#Deep_learning-based_synthesis). The dull, robotic voice that characterized early text-to-speech is almost entirely absent in the top platforms. In 2024, an AI-generated Spanish voiceover sounds much more natural than the same technology did three years ago.

The Practical Workflow for Producing Multilingual Ads

The most efficient approach is to treat your English-language ad as the master version and use it as the foundation for every localized variant. Start with a script that's been written cleanly -short sentences, no idioms that won't translate, minimal wordplay -because these translate better across languages without requiring heavy reworking.

Once your master ad is finalized, this AI software can generate localized versions in multiple languages from that single source, handling the voiceover synthesis and timing adjustments automatically (https://creatify.ai/). What used to take weeks of back-and-forth with translators and voice talent can be completed in hours. You review the outputs, make any necessary adjustments to the script if something doesn't translate naturally, and the ads are ready to deploy.

A critical workflow choice to think about early on is whether you want to do full localization or just translation. Simply translating would imply rendering the English script in another language as accurately as possible. Whereas, localization entails changing the content to the cultural context - different references, different tone, sometimes a completely different angle. AI does a great job with translation. Localization still needs a human touch, especially in the markets where the cultural nuance greatly changes the way the ad is perceived. Generally, for most performance advertising use cases, translation is enough. However, for brand-building campaigns in the markets you are seriously investing in, the cultural review step is a very good idea.

What to Review Before Your Multilingual Ads Go Live

The translation and voiceover produced by AI are quite good overall, but they are not 100% accurate. So, showing an ad with a caption mistake in a market where you are really investing in advertising is a big mistake that you must not overlook.

The major review stage involves asking a native speaker or fluent speaker to read the script -not necessarily the entire video production, just the translated text -so that the audio will be definitively recorded. There is no need to engage a professional translator to do this. A bilingual colleague, freelancer for the review only, or a native-speaking friend capable of confirming the wording is natural and accurate can do it. Cost of a short review is almost nil compared to the cost of running the same mistake ad at a large scale.

It is especially necessary to check brand names, product names, and any technical terminology in your script closely. AI translation is very good in handling the general vocabulary, but it can also, after all mis-translate or phonetically render brand terms incorrectly. Anything that absolutely should not be translated -your brand name, a product name, a specific feature term -should be marked in the original script so the AI understands it as a proper noun rather than a word to convert.

Building a Multilingual Ad Library That Compounds Over Time

Allow me to express the unique capability of AI-powered multilingual production as a tool for the strategic advantage of brand realization. That is not to say the initial campaign development does not matter - it is merely to highlight the point that the top point of discussion is the resourcefulness of multiplying the creative output across several languages and improving those pieces in the same manner as the English-language ones.

Usually, brands that conduct ads in multiple languages using the conventional production methods barely experiment with different creatives, unlike their primary market due to the high cost of production of each variant, which completely does not leave room for extensive testing. AI is the solution to that limitation. You can test three different hook versions in Spanish just as easily as you test them in English. This means your non-English campaigns can be part of the same creative optimization process that is responsible for improving your core market performance.

The good thing about this is the fact that the effects do not only remain at the moment but will also grow as you build your performance data through the markets as you go along. You see which messaging angles are working in which languages and conversely, you find out which markets are all about getting the maximum return from the ads and then you are able to allocate budget to those based on the evidence that you have pretty quickly and affordably, get the creative in support of that allocation.

Making the Move to Multilingual

The companies that have succeeded with multilingual AI video ads are not necessarily those that have the largest budgets or the most advanced marketing staff. Rather, they are the ones that spotted the opportunity early on, developed a simple and replicable production model, and devoted themselves to testing across different markets at the same level of rigor as they do for their main language campaigns.

Perhaps you've postponed multilingual advertising because the conventional production model made you feel it was unattainable. With the current toolset, it is becoming increasingly difficult to justify that kind of hesitation. Besides being inexpensive, the whole procedure takes less time than most people anticipate, and the benefit, reaching people through their own language at a tiny fraction of the price it was a few years ago, is very considerable. Pick one extra language to begin with, test the model in your specific market environment, and then you can go on.

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