As a strategic partner of ElevenLabs, Omtera helps companies not only experiment with AI-powered voice technologies but also integrate them into real business processes and scale their use. When it comes to expanding video content into different markets, one of the most notable use cases is AI dubbing technology.
For marketing teams, training departments, product managers, and media companies producing content at a global scale, recreating the same video content in different languages can create a significant operational burden. Translating the script, finding the right voice talent for each language, organizing studio recordings, reinserting the audio into the video, and performing quality control all require both time and budget.
AI dubbing makes it possible to automate a significant portion of this process, allowing the same content to be localized more quickly for different countries and target audiences.
ElevenLabs Dubbing, however, does not limit this approach to simply translating text into another language. The platform aims to produce a more natural result by preserving the speaker’s voice characteristics, tone, speaking pace, and emotional expression as much as possible in the target language.
AI dubbing is the process of using artificial intelligence to analyze speech in a video or audio recording, translate it into another language, and then reproduce that speech in the target language.
In traditional dubbing workflows, many stages of this process are handled by separate teams. First, the dialogue is transcribed, then adapted into the target language by translators. Voice actors subsequently record the translated content in a studio, and the recordings are edited to match the timing of the video.
AI dubbing systems, on the other hand, can combine technologies such as speech recognition, machine translation, and AI voice generation within a single workflow.
As a result, for example, a 15-minute product introduction video originally created in Turkish may be converted into English, French, or Arabic versions without having to reshoot the entire video separately for each market.
However, what matters here is not simply translating the words. A strong dubbing experience also requires preserving the speaker’s delivery style and the emotional structure of the video.
ElevenLabs Dubbing is an ElevenLabs solution that allows video and audio content files to be translated and re-voiced in different languages.
According to ElevenLabs’ current documentation, Dubbing supports more than 90 languages. The system does not only translate spoken content; it also aims to preserve characteristics such as the speaker’s voice features, emotion, timing, and tone as much as possible in the target language.
This feature can create particular value in scenarios where it is important for the same person to sound like the same brand representative across different countries.
For example, imagine a product launch video recorded in English by your company’s CEO. With a traditional approach, different voice-over artists might be used for the German, French, and Spanish versions.
With ElevenLabs Dubbing, multilingual versions that resemble the original speaker’s voice characteristics can be created. This can make it easier to preserve consistency in the brand’s voice while localizing the content.
When using ElevenLabs Dubbing, the process progresses through several key stages.
First, you can upload the video or audio file you want to localize to the ElevenLabs Dubbing area.
ElevenLabs also allows content to be added through URLs from supported online sources. For example, eligible content hosted on YouTube or TikTok can be brought into the Dubbing workflow.
In the next step, you choose the language or languages into which you want the content to be translated.
Because ElevenLabs Dubbing supports more than 90 languages, a single source asset can be used to create multiple localized versions for different regions.
For example, a product video originally created in Turkish can have separate versions in:
This approach can be particularly useful for companies operating in multiple markets that want to centralize their localization operations.
A video does not need to contain only one speaker.
ElevenLabs Dubbing can detect content with multiple speakers. For example, a webinar, interview, or podcast featuring two executives can be converted into another language while preserving distinct voice characteristics.
This feature can provide an important advantage for multi-speaker content such as panels, podcasts, webinars, and customer stories.
The system analyzes the original speech, translates it into the target language, and creates a new audio track.
The main difference here is that the system does not simply use a generic AI voice.
ElevenLabs focuses on preserving the speaker’s voice identity and delivery style as much as possible. This can create a more cohesive localization experience than a traditional text-to-speech approach.
One of the challenging parts of video localization is managing sounds other than speech.
For example, a promotional video may contain:
ElevenLabs Dubbing can preserve the original background audio while recreating the speech in a new language. In many cases, this can make it possible to create localized content without having to remix the entire soundtrack from scratch.
Dubbing v2 is at the center of ElevenLabs’ current Dubbing experience.
Dubbing v2 focuses on making the automated dubbing process more scalable. ElevenLabs also introduced Dubbing v2 API support in August 2026.
This API-based approach is particularly important for businesses producing large volumes of content.
For example, if a SaaS company produces dozens of training videos every week, requiring team members to manually upload every video through the ElevenLabs interface may not be scalable.
With the Dubbing API, a workflow such as the following can be designed:
Video created → Content uploaded to the system → ElevenLabs Dubbing API called → English, French, and Arabic versions created → Localized content transferred to the relevant video platform.
The Dubbing v2 API also allows source transcripts and translations to be managed within the project structure. When specific transcript or translation segments are modified, it may be possible to regenerate only the relevant sections.
This structure can provide an important advantage for technology and content teams that want to build enterprise localization pipelines.
AI dubbing is not limited to media content such as movies or television series.
Its enterprise use cases are much broader.
Imagine a marketing team preparing an English-language video for a new product launch.
If the same campaign will also be used in Türkiye, France, Germany, and the Middle East, the source video can be localized with AI dubbing instead of filming separate versions for every region.
This makes it possible to preserve global brand consistency while offering language options appropriate for local markets.
International companies may need to recreate employee training materials repeatedly for different countries.
Content centrally produced with ElevenLabs, such as:
can be localized into different languages.
For example, a 30-minute product training video created by the headquarters team in Istanbul can be converted into English, French, and Arabic versions.
A large proportion of webinars are simply stored as recordings once the event has ended.
However, when a successful webinar is localized into different languages, it can become a long-term content asset.
For example, a webinar conducted in English can be reused in different markets through a workflow such as:
English source → Turkish dubbing → French dubbing → Arabic dubbing
This approach can help international B2B marketing teams generate more value from their existing content.
In SaaS companies, product screens often remain the same while the narration changes depending on the market.
Instead of recording the entire demo again, the spoken sections can be localized with ElevenLabs.
This can help product marketing teams accelerate localization operations when entering new countries.
Dubbing is not limited to video.
Audio content can also be converted into different languages.
For example, a 20-minute English podcast interview with your company’s CEO can be made available to new markets through different language versions.
Imagine a Türkiye-based technology company launching a new product.
The marketing team creates a 10-minute Turkish video in which the company CEO introduces the product.
The company also wants to promote the same product in the United Kingdom, France, and the United Arab Emirates.
With a traditional approach, three separate localization projects might be planned.
A workflow using ElevenLabs could look like this:
1. The Turkish master video is uploaded to ElevenLabs Dubbing.
2. English, French, and Arabic are selected as the target languages.
3. The speaker’s voice and the dialogue in the video are analyzed.
4. A separate audio track is created for each target language.
5. Background music and the original background audio are preserved.
6. The team reviews terminology, product names, and critical messaging.
7. The localized videos are distributed across campaigns in the relevant countries.
In this way, a single master content asset can be transformed into a multilingual content family that can be used across four different markets.
Although AI dubbing can provide powerful automation, it should not be used without any form of control.
Particularly in industries such as SaaS, finance, healthcare, or technology, certain product and industry-specific terms may be interpreted incorrectly by automatic translation systems.
For this reason, terminology review should be performed in the target language before publication.
When product, company, and feature names should not be translated, the output should always be reviewed.
For example, product names such as ElevenLabs, Google Calendar, Slack, or Jira should not be changed in the target language.
Content with a low tolerance for errors, such as legal texts, financial statements, healthcare information, or corporate announcements, should be reviewed by a specialist.
AI dubbing and lip-sync are not the same technology.
ElevenLabs’ current Dubbing feature does not provide native lip-sync on its own. For projects that require lip-sync, different video workflows within the ElevenLabs ecosystem or third-party models may be considered.
This distinction should be taken into account particularly for high-production-value videos featuring long on-camera speaking segments.
For high-volume content production, the real value is not simply translating one video, but automating the entire localization process.
With the ElevenLabs API, organizations can build dubbing workflows within their own systems.
For example, when a new video is uploaded to a learning management system:
New video
↓
Identify source language
↓
ElevenLabs Dubbing API
↓
TR / EN / FR / AR outputs
↓
Quality Assurance
↓
Publish to video platform
an architecture like this can be implemented.
From the perspective of IT managers and technical teams, this approach can transform ElevenLabs from simply being a content production tool into a component of the enterprise localization infrastructure.
One of the most important advantages of AI dubbing is that it allows existing content to be used across more markets.
A company does not simply translate content faster; it can change its content production model.
Key benefits include:
For this reason, AI dubbing should not be viewed only as a video editing feature, but as a component of a global content operations strategy.
Creating AI dubbing by uploading a video to ElevenLabs can be relatively easy. Creating real value at enterprise scale, however, requires a broader approach.
Organizations need to determine which content should be localized, plan target languages, establish API workflows, integrate ElevenLabs with existing systems, define quality control processes, and scale usage across different teams.
As a strategic partner of ElevenLabs, Omtera helps companies evaluate ElevenLabs technologies together with their existing technology infrastructure and business processes.
In this context, businesses can receive support in areas such as:
In this way, ElevenLabs can become a systematic part of marketing, training, customer experience, and content operations rather than remaining a standalone AI tool that teams use occasionally.
Ready to build a scalable AI dubbing strategy that helps your videos reach global audiences? Schedule a meeting with Omtera today to plan your ElevenLabs usage.
What is AI dubbing?
AI dubbing is a technology that uses artificial intelligence to translate speech in video or audio content into another language and reproduce it in the target language. Modern AI dubbing solutions aim to preserve the speaker’s voice characteristics and delivery style as much as possible.
What does ElevenLabs Dubbing do?
ElevenLabs Dubbing is used to translate and re-voice video and audio content in different languages. The platform focuses on preserving the speaker’s voice characteristics, tone, emotion, and speaking pace.
How many languages can ElevenLabs dub into?
According to ElevenLabs’ current documentation, the Dubbing feature supports more than 90 languages. Supported languages include Turkish, English, French, German, Spanish, and Arabic.
Can ElevenLabs recognize different speakers in a video?
Yes. ElevenLabs Dubbing can automatically detect multiple speakers and aims to preserve the different voice characteristics of each speaker in the target language.
Can ElevenLabs Dubbing preserve background music?
ElevenLabs Dubbing can preserve the original background audio. This makes it possible to generate speech in a new language without having to completely recreate music, ambient sound, and other background elements.
Can YouTube videos be dubbed with ElevenLabs?
ElevenLabs allows content to be added through URLs from supported online sources. Eligible content from platforms such as YouTube and TikTok can be included in the Dubbing workflow.
Does ElevenLabs AI dubbing support lip-sync?
The ElevenLabs Dubbing feature itself does not currently provide native lip-sync. According to ElevenLabs documentation, lip-sync can be used through different video workflows and third-party models.
Is there an ElevenLabs Dubbing API?
Yes. The ElevenLabs Dubbing API allows businesses to integrate video and audio localization into their own products or content workflows. New project-based API support for Dubbing v2 was also announced in August 2026.
Who is AI dubbing suitable for?
AI dubbing is particularly suitable for global marketing teams, e-learning companies, media organizations, SaaS companies, content creators, training departments, and businesses operating across multiple countries.
Does AI dubbing completely replace human voice actors?
Not in every use case. AI dubbing can provide significant automation for high-volume localization operations. However, projects where creative direction, legal accuracy, or brand sensitivity are critical may still require human review or a professional production process.
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