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Quick summary<\/strong><\/p>\n

AI dubbing lets you translate and dub corporate videos into several languages in hours, not weeks. Tools such as HeyGen, ElevenLabs and Rask AI generate a new voice-over with automatic lip sync from the original audio. The result can be very good (especially in videos with a single shot and a single speaker), but some technical adjustments don’t happen on their own: timing, music, brand names. And there is one step no tool can replace: having a native translator review the translation before the final voices are generated. At Overseas Translations, we combine the technology with this quality control step to make sure the dubbed video is genuinely professional, not just understandable. If you want to know what AI dubbing can do for your videos and where its real limits lie, read on.<\/p>\n<\/div>\n

If you’ve recently seen corporate videos where the speaker talks in another language with perfectly synced lips, chances are AI dubbing was used. The technology has come a long way in recent years, and today the results can be surprisingly good. But there are also cases where the end result is disappointing, almost always for the same reasons: not really understanding how the process works and skipping steps that aren’t optional.<\/p>\n

In this article, we explain how AI dubbing works, what tools are available, what adjustments a well-executed project needs, and the one step that makes the difference between a professional result and one that sounds like machine translation with a voice.<\/p>\n

AI dubbing combines automatic transcription, translation and speech synthesis in a single workflow.<\/figcaption>\n<\/figure>\n
What is AI dubbing?<\/h2>\n
AI dubbing is the process of translating a video’s audio into another language and generating a new voice-over (with lip sync) using artificial intelligence tools. No voice actors, no recording studio, no weeks of production.<\/p>\n
The technical process works like this: the tool transcribes the original audio, translates it into the target language, generates the voice in the new language and syncs the lip movements with the resulting audio. Depending on the platform, it can also clone the original speaker’s voice to keep the same timbre in the target language.<\/p>\n
$\"AI$
<\/p>\n
AI dubbing production workflow, with the human review step before the voices are generated.<\/figcaption>\n<\/figure>\n
There are several platforms on the market, each with a different profile. HeyGen stands out for its lip sync and avatar generation. ElevenLabs offers the highest voice-cloning quality on the market and is particularly good at European Spanish, rather than a neutral Latin American variety. Rask AI is geared towards companies with large video libraries. Deepdub combines text-to-speech engines with accent and tone control. The right choice depends on the type of project, the volume and the level of customisation you need.<\/p>\n
$\"Comparison$
<\/p>\n
Comparison of the main AI dubbing tools available in 2026.<\/figcaption>\n<\/figure>\n
The adjustments that don’t happen on their own<\/h2>\n
Before we get into use cases, it’s worth being upfront about what requires manual work. Not because AI dubbing is bad (the results can be very good), but because knowing this in advance avoids surprises and lets you plan production properly.<\/p>\n
Timing<\/h3>\n
Translating an English video into Spanish almost always produces a longer text. Or the opposite, if the target language is more concise. This means the dubbed voice-over can end up out of step with the original video: the person on screen has stopped moving their lips but the voice is still talking, or vice versa. Timing needs to be reviewed and adjusted sentence by sentence, especially in videos with a lot of dialogue or deliberate dramatic pauses.<\/p>\n
Lip sync with multiple shots or multiple people<\/h3>\n
When there is a single shot and one person speaking, lip sync works fairly well with today’s tools. The problem arises in videos with two cameras alternating shots, or with several speakers talking at the same time or in quick cuts. In these cases, the AI struggles to assign the sync correctly to each person and the result can look forced. This needs to be assessed before the project starts, because it determines how much post-production work will be required.<\/p>\n
Music and sound effects<\/h3>\n
This is one of the details that causes the most problems and gets talked about the least. Most dubbing tools include an option to “automatically adjust the audio to the new language”. What this option does is speed up or slow down all the audio (music included) so that the dubbed voice-over fits the same running time as the original.<\/p>\n
When there is background music, the result is a soundtrack that sounds noticeably sped up or slowed down. It undermines the professionalism of the video in a way viewers pick up on immediately, even if they can’t say why.<\/p>\n
The solution is to dub without the music: export the clean voice track and then add the original music back in (at the same level as in the original video) using video editing software such as Adobe Premiere. It’s an extra post-production step, but it completely transforms the result.<\/p>\n
The same applies to on-screen text (text on screen<\/em>): if the video has captions, headings or burnt-in subtitles, these also need to be handled separately. The dubbing tool works with the audio; graphics are a different matter.<\/p>\n
Automatic transcription<\/h3>\n
Before we talk about translation, there is an earlier step that isn’t infallible either: transcribing the original audio.<\/p>\n
AI dubbing tools automatically transcribe the audio before translating it. If that transcription contains an error (a misrecognised word, a technical term the AI doesn’t pick up correctly, a proper name that sounds like something else), the error carries straight through into the translation. And the faulty translation carries through into the voice-over. At the end of the process, the dubbed video says something wrong that nobody has spotted, because nobody checked the starting point.<\/p>\n
With technical terminology, industry acronyms, product names and sentences with background noise, transcription errors are more common than you might think. That’s why the review has to start here, before the translation is touched.<\/p>\n
Proper names<\/h3>\n
Translation AI doesn’t distinguish between generic text and proper names. It may translate the name of a brand, a product, a product family or a trade name that should stay in English or in the original language. “Global Solutions” could end up as “Soluciones Globales”. A person’s name may be transliterated incorrectly. A registered trademark may be altered without anyone noticing.<\/p>\n
This problem doesn’t fix itself. It requires the translation to be reviewed before the voices are generated, to identify every name that must stay as it is and make sure none of them has been altered.<\/p>\n
The step that makes the difference: review before generating the voices<\/h2>\n
This is the most important point in the whole process, and also the one most often skipped when someone tries AI dubbing for the first time.<\/p>\n
The automatic workflow of these tools is: audio transcription \u2192 translation \u2192 voice generation. All three steps chained together, with no human intervention. The problem is that if there’s an error in the first step, it is carried into the second, and from the second into the third. At the end of the process, the dubbed video reproduces an error that nobody has spotted because nobody reviewed the source.<\/p>\n
That’s why the review has to come before the voices are generated, not after. And it has to cover both steps: the transcription of the original audio and the translation into the target language.<\/p>\n
At Overseas Translations, the process works differently. Before generating any voice, we review the automatic transcription (to catch recognition errors, misheard technical terms or altered proper names) and then export the translation so that our native translators, who specialise in the relevant sector, can correct it, adapt the register and check the terminology. We import the revised text back into the platform and only then generate the final voices. We never deliver a dub based on the AI’s first draft.<\/p>\n
This process ensures the final audio is correct from the start, not just understandable. For corporate, training or sales content, the difference between the two approaches is very noticeable.<\/p>\n
Subtitles: should you add them?<\/h2>\n
AI dubbing and subtitles are not mutually exclusive. In many projects it makes sense to combine them: the video is dubbed into the target language and subtitles are added as well, either in the same language or in a third one.<\/p>\n
The decision depends on how the video will be used. For internal training content, subtitles improve retention. For product videos on a landing page, they are usually unnecessary if the dubbing is high quality. For social media, subtitles in the local language are practically a must, because a large share of traffic plays videos with the sound off.<\/p>\n
What you do need to be clear about is that subtitles also need reviewing. If they are generated by the same dubbing tool, they are based on the same machine translation and carry the same risks. The same review workflow applies.<\/p>\n
When it makes sense and where its limits lie<\/h2>\n
AI dubbing is a very clear fit for projects where the balance of cost, speed and reach justifies a hybrid approach.<\/p>\n
It works well for:<\/p>\n
\n
Corporate company or product presentation videos with a single speaker and a steady shot.<\/li>\n
Internal training and e-learning content.<\/li>\n
Product demos and tutorials.<\/li>\n
Videos for international trade fairs and events where the message is direct and there are no complex audiovisual effects.<\/li>\n
Ads and marketing content designed for several markets at once.<\/li>\n<\/ul>\n
It works less well (or the cost of post-production comes close to that of traditional dubbing) for videos with lots of shot changes, music closely woven into the narrative, several speakers alternating rapidly, or highly technical terminology in regulated sectors such as pharmaceuticals or law.<\/p>\n
There is no one-size-fits-all answer. Assessing the video beforehand is what tells you whether AI dubbing is the right option, how much intervention it will need and what the real cost of the project will be.<\/p>\n
How we do it at Overseas<\/h2>\n
For more than 13 years, we have been working on translation and localisation projects for B2B companies in the technical, industrial, pharmaceutical and legal sectors. With AI dubbing, we have added a service that combines the speed and efficiency of today’s tools with the quality control process we apply to every translation project.<\/p>\n
The usual workflow: you send us the video, we assess whether the format is suitable for AI dubbing and what adjustments it will need, we carry out the translation and native review, generate the voices and deliver the dubbed video with the timing and audio adjustments already applied.<\/p>\n
We have been certified to ISO 9001:2015 and ISO 17100:2015<\/a> since 2017. All our projects, video included, go through the same review process.<\/p>\n
If you have a video you’d like to adapt for another market, tell us about the project and we’ll let you know whether it’s a good fit and how we would approach it.<\/p>\n
\n
Here are two examples: a video in English and the same video dubbed into Polish with lip sync, on *regulatory communication excellence<\/em> and the possibilities of communicating in any industry.<\/em><\/p>\n*
\n
<\/iframe><\/a><\/div>\n<div style=\"flex: 1; min-width: 280px; max-width: 460px;\"><iframe title=\"AI dubbing: example in Polish with lip sync\" src=\"https:\/\/www.youtube.com\/embed\/tXxPpPEmzvE\" width=\"100%\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/div>\n<\/div>\n<\/div>\n<h2>Frequently asked questions about AI dubbing<\/h2>\n<p><strong>What AI dubbing tools are available in 2026?<\/strong><br>The main platforms are HeyGen, ElevenLabs, Rask AI and Deepdub. Each has a different profile: HeyGen prioritises lip sync and avatars; ElevenLabs stands out for voice quality and cloning; Rask AI is geared towards large volumes of video; Deepdub combines accent and tone control with cloning. The right choice depends on the type of project and the level of customisation required.<\/p>\n<p><strong>Does AI dubbing require human review?<\/strong><br>Yes, always, and at two points in the process: the transcription of the original audio and the translation into the target language. A transcription error (a misrecognised word, an incorrect technical term) carries straight through into the translation and from there into the generated voices. The right approach is to review the transcription, correct it if necessary, then have a specialist native translator review the translation, and import the corrected text back in before generating the final audio.<\/p>\n<p><strong>How long does an AI dubbing project take?<\/strong><br>It depends on the length of the video, the number of languages and the complexity of the content. A 3\u20135 minute video into one language can be ready in 48\u201372 hours, including the translation review. Projects involving several languages or a lot of technical content need more review time.<\/p>\n<p><strong>Can subtitles be added to the dubbed video?<\/strong><br>Yes. Subtitles can be added in the same language as the dub or in a different language. Subtitles also need reviewing, as they are generated from the same machine translation produced by the tool.<\/p>\n<p><strong>What types of video is AI dubbing not suitable for?<\/strong><br>AI dubbing gives poorer results in videos with lots of shot changes or several speakers alternating rapidly, in videos with music closely woven into the narrative, and in content with highly technical terminology or proper names that demand great precision. In these cases, the cost of post-production may make it worth considering other options.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>AI dubbing lets you dub corporate videos into several languages in a matter of hours. Tools such as HeyGen, ElevenLabs and Rask AI automate the process, but some adjustments don’t happen on their own, and there is one step no AI can replace: human review before the final voices are generated.<\/p>\n","protected":false},"author":2,"featured_media":17362,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[98,99],"tags":[2033,2030,2045,2762,2763,2764,2765,2766,2767],"class_list":["post-17361","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-en","category-details-and-fun-facts","tag-ai-dubbing","tag-audiovisual-translation","tag-corporate-dubbing","tag-elevenlabs","tag-heygen","tag-ia-traduccion","tag-localizacion-audiovisual","tag-rask-ai","tag-videos-multingues"],"permalink_manager":null,"_links":{"self":[{"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/posts\/17361","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/comments?post=17361"}],"version-history":[{"count":2,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/posts\/17361\/revisions"}],"predecessor-version":[{"id":17444,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/posts\/17361\/revisions\/17444"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/media\/17362"}],"wp:attachment":[{"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/media?parent=17361"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/categories?post=17361"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/tags?post=17361"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

AI dubbing combines automatic transcription, translation and speech synthesis in a single workflow.<\/figcaption>\n<\/figure>\n
What is AI dubbing?<\/h2>\n
AI dubbing is the process of translating a video’s audio into another language and generating a new voice-over (with lip sync) using artificial intelligence tools. No voice actors, no recording studio, no weeks of production.<\/p>\n
The technical process works like this: the tool transcribes the original audio, translates it into the target language, generates the voice in the new language and syncs the lip movements with the resulting audio. Depending on the platform, it can also clone the original speaker’s voice to keep the same timbre in the target language.<\/p>\n
$\"AI$
<\/p>\n
AI dubbing production workflow, with the human review step before the voices are generated.<\/figcaption>\n<\/figure>\n
There are several platforms on the market, each with a different profile. HeyGen stands out for its lip sync and avatar generation. ElevenLabs offers the highest voice-cloning quality on the market and is particularly good at European Spanish, rather than a neutral Latin American variety. Rask AI is geared towards companies with large video libraries. Deepdub combines text-to-speech engines with accent and tone control. The right choice depends on the type of project, the volume and the level of customisation you need.<\/p>\n
$\"Comparison$
<\/p>\n
Comparison of the main AI dubbing tools available in 2026.<\/figcaption>\n<\/figure>\n
The adjustments that don’t happen on their own<\/h2>\n
Before we get into use cases, it’s worth being upfront about what requires manual work. Not because AI dubbing is bad (the results can be very good), but because knowing this in advance avoids surprises and lets you plan production properly.<\/p>\n
Timing<\/h3>\n
Translating an English video into Spanish almost always produces a longer text. Or the opposite, if the target language is more concise. This means the dubbed voice-over can end up out of step with the original video: the person on screen has stopped moving their lips but the voice is still talking, or vice versa. Timing needs to be reviewed and adjusted sentence by sentence, especially in videos with a lot of dialogue or deliberate dramatic pauses.<\/p>\n
Lip sync with multiple shots or multiple people<\/h3>\n
When there is a single shot and one person speaking, lip sync works fairly well with today’s tools. The problem arises in videos with two cameras alternating shots, or with several speakers talking at the same time or in quick cuts. In these cases, the AI struggles to assign the sync correctly to each person and the result can look forced. This needs to be assessed before the project starts, because it determines how much post-production work will be required.<\/p>\n
Music and sound effects<\/h3>\n
This is one of the details that causes the most problems and gets talked about the least. Most dubbing tools include an option to “automatically adjust the audio to the new language”. What this option does is speed up or slow down all the audio (music included) so that the dubbed voice-over fits the same running time as the original.<\/p>\n
When there is background music, the result is a soundtrack that sounds noticeably sped up or slowed down. It undermines the professionalism of the video in a way viewers pick up on immediately, even if they can’t say why.<\/p>\n
The solution is to dub without the music: export the clean voice track and then add the original music back in (at the same level as in the original video) using video editing software such as Adobe Premiere. It’s an extra post-production step, but it completely transforms the result.<\/p>\n
The same applies to on-screen text (text on screen<\/em>): if the video has captions, headings or burnt-in subtitles, these also need to be handled separately. The dubbing tool works with the audio; graphics are a different matter.<\/p>\n
Automatic transcription<\/h3>\n
Before we talk about translation, there is an earlier step that isn’t infallible either: transcribing the original audio.<\/p>\n
AI dubbing tools automatically transcribe the audio before translating it. If that transcription contains an error (a misrecognised word, a technical term the AI doesn’t pick up correctly, a proper name that sounds like something else), the error carries straight through into the translation. And the faulty translation carries through into the voice-over. At the end of the process, the dubbed video says something wrong that nobody has spotted, because nobody checked the starting point.<\/p>\n
With technical terminology, industry acronyms, product names and sentences with background noise, transcription errors are more common than you might think. That’s why the review has to start here, before the translation is touched.<\/p>\n
Proper names<\/h3>\n
Translation AI doesn’t distinguish between generic text and proper names. It may translate the name of a brand, a product, a product family or a trade name that should stay in English or in the original language. “Global Solutions” could end up as “Soluciones Globales”. A person’s name may be transliterated incorrectly. A registered trademark may be altered without anyone noticing.<\/p>\n
This problem doesn’t fix itself. It requires the translation to be reviewed before the voices are generated, to identify every name that must stay as it is and make sure none of them has been altered.<\/p>\n
The step that makes the difference: review before generating the voices<\/h2>\n
This is the most important point in the whole process, and also the one most often skipped when someone tries AI dubbing for the first time.<\/p>\n
The automatic workflow of these tools is: audio transcription \u2192 translation \u2192 voice generation. All three steps chained together, with no human intervention. The problem is that if there’s an error in the first step, it is carried into the second, and from the second into the third. At the end of the process, the dubbed video reproduces an error that nobody has spotted because nobody reviewed the source.<\/p>\n
That’s why the review has to come before the voices are generated, not after. And it has to cover both steps: the transcription of the original audio and the translation into the target language.<\/p>\n
At Overseas Translations, the process works differently. Before generating any voice, we review the automatic transcription (to catch recognition errors, misheard technical terms or altered proper names) and then export the translation so that our native translators, who specialise in the relevant sector, can correct it, adapt the register and check the terminology. We import the revised text back into the platform and only then generate the final voices. We never deliver a dub based on the AI’s first draft.<\/p>\n
This process ensures the final audio is correct from the start, not just understandable. For corporate, training or sales content, the difference between the two approaches is very noticeable.<\/p>\n
Subtitles: should you add them?<\/h2>\n
AI dubbing and subtitles are not mutually exclusive. In many projects it makes sense to combine them: the video is dubbed into the target language and subtitles are added as well, either in the same language or in a third one.<\/p>\n
The decision depends on how the video will be used. For internal training content, subtitles improve retention. For product videos on a landing page, they are usually unnecessary if the dubbing is high quality. For social media, subtitles in the local language are practically a must, because a large share of traffic plays videos with the sound off.<\/p>\n
What you do need to be clear about is that subtitles also need reviewing. If they are generated by the same dubbing tool, they are based on the same machine translation and carry the same risks. The same review workflow applies.<\/p>\n
When it makes sense and where its limits lie<\/h2>\n
AI dubbing is a very clear fit for projects where the balance of cost, speed and reach justifies a hybrid approach.<\/p>\n
It works well for:<\/p>\n
\n
Corporate company or product presentation videos with a single speaker and a steady shot.<\/li>\n
Internal training and e-learning content.<\/li>\n
Product demos and tutorials.<\/li>\n
Videos for international trade fairs and events where the message is direct and there are no complex audiovisual effects.<\/li>\n
Ads and marketing content designed for several markets at once.<\/li>\n<\/ul>\n
It works less well (or the cost of post-production comes close to that of traditional dubbing) for videos with lots of shot changes, music closely woven into the narrative, several speakers alternating rapidly, or highly technical terminology in regulated sectors such as pharmaceuticals or law.<\/p>\n
There is no one-size-fits-all answer. Assessing the video beforehand is what tells you whether AI dubbing is the right option, how much intervention it will need and what the real cost of the project will be.<\/p>\n
How we do it at Overseas<\/h2>\n
For more than 13 years, we have been working on translation and localisation projects for B2B companies in the technical, industrial, pharmaceutical and legal sectors. With AI dubbing, we have added a service that combines the speed and efficiency of today’s tools with the quality control process we apply to every translation project.<\/p>\n
The usual workflow: you send us the video, we assess whether the format is suitable for AI dubbing and what adjustments it will need, we carry out the translation and native review, generate the voices and deliver the dubbed video with the timing and audio adjustments already applied.<\/p>\n
We have been certified to ISO 9001:2015 and ISO 17100:2015<\/a> since 2017. All our projects, video included, go through the same review process.<\/p>\n
If you have a video you’d like to adapt for another market, tell us about the project and we’ll let you know whether it’s a good fit and how we would approach it.<\/p>\n
\n
Here are two examples: a video in English and the same video dubbed into Polish with lip sync, on *regulatory communication excellence<\/em> and the possibilities of communicating in any industry.<\/em><\/p>\n*
\n
<\/iframe><\/a><\/div>\n<div style=\"flex: 1; min-width: 280px; max-width: 460px;\"><iframe title=\"AI dubbing: example in Polish with lip sync\" src=\"https:\/\/www.youtube.com\/embed\/tXxPpPEmzvE\" width=\"100%\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/div>\n<\/div>\n<\/div>\n<h2>Frequently asked questions about AI dubbing<\/h2>\n<p><strong>What AI dubbing tools are available in 2026?<\/strong><br>The main platforms are HeyGen, ElevenLabs, Rask AI and Deepdub. Each has a different profile: HeyGen prioritises lip sync and avatars; ElevenLabs stands out for voice quality and cloning; Rask AI is geared towards large volumes of video; Deepdub combines accent and tone control with cloning. The right choice depends on the type of project and the level of customisation required.<\/p>\n<p><strong>Does AI dubbing require human review?<\/strong><br>Yes, always, and at two points in the process: the transcription of the original audio and the translation into the target language. A transcription error (a misrecognised word, an incorrect technical term) carries straight through into the translation and from there into the generated voices. The right approach is to review the transcription, correct it if necessary, then have a specialist native translator review the translation, and import the corrected text back in before generating the final audio.<\/p>\n<p><strong>How long does an AI dubbing project take?<\/strong><br>It depends on the length of the video, the number of languages and the complexity of the content. A 3\u20135 minute video into one language can be ready in 48\u201372 hours, including the translation review. Projects involving several languages or a lot of technical content need more review time.<\/p>\n<p><strong>Can subtitles be added to the dubbed video?<\/strong><br>Yes. Subtitles can be added in the same language as the dub or in a different language. Subtitles also need reviewing, as they are generated from the same machine translation produced by the tool.<\/p>\n<p><strong>What types of video is AI dubbing not suitable for?<\/strong><br>AI dubbing gives poorer results in videos with lots of shot changes or several speakers alternating rapidly, in videos with music closely woven into the narrative, and in content with highly technical terminology or proper names that demand great precision. In these cases, the cost of post-production may make it worth considering other options.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>AI dubbing lets you dub corporate videos into several languages in a matter of hours. Tools such as HeyGen, ElevenLabs and Rask AI automate the process, but some adjustments don’t happen on their own, and there is one step no AI can replace: human review before the final voices are generated.<\/p>\n","protected":false},"author":2,"featured_media":17362,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[98,99],"tags":[2033,2030,2045,2762,2763,2764,2765,2766,2767],"class_list":["post-17361","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog-en","category-details-and-fun-facts","tag-ai-dubbing","tag-audiovisual-translation","tag-corporate-dubbing","tag-elevenlabs","tag-heygen","tag-ia-traduccion","tag-localizacion-audiovisual","tag-rask-ai","tag-videos-multingues"],"permalink_manager":null,"_links":{"self":[{"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/posts\/17361","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/comments?post=17361"}],"version-history":[{"count":2,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/posts\/17361\/revisions"}],"predecessor-version":[{"id":17444,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/posts\/17361\/revisions\/17444"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/media\/17362"}],"wp:attachment":[{"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/media?parent=17361"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/categories?post=17361"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ovstranslations.com\/en\/wp-json\/wp\/v2\/tags?post=17361"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}