AI video translation software is highly valuable for anyone who wants to have their videos viewed by people around the world. It dramatically reduces \u2013 sometimes even eliminates \u2013 the need for manual translation, post-editing corrections, and repetitive voice-overs. But it\u2019s not yet foolproof; so businesses would be wise to follow a set of best practices to achieve the optimal output quality of automatic video translation software.<\/p>\n\n\n\n
AI video translation software works with moving digital characters (avatars, animations, and actual people) to create video versions in multiple languages. The process needed to translate video audio is more complex than, for example, the dynamic translation of audio tracks into closed captions. This is because AI video translators require more steps:<\/p>\n\n\n\n
Despite the challenges facing AI video translation software (as we get into below), there is simply no competition between manual and digital processes on the whole. The digitization of translation brings with it amazing benefits:<\/p>\n\n\n\n
AI video translations do have another source of competition. The option to include closed captions in a video as a translation method is widespread, simple, and inexpensive. Despite its occasional imperfections, automatic video translation software still offers numerous advantages over captioning:<\/p>\n\n\n\n
Like many artificial intelligence applications, AI video translations can result in all kinds of errors. These include:<\/p>\n\n\n\n
Accuracy <\/strong><\/em><\/p>\n\n\n\n AI video translation software can make phonetic mistakes, for example, replacing \u201cI\u2019ll\u201d with \u201ceye.\u201d Most of these errors are only noticeable by paying close attention to the audio. A more significant area is translating slang and figures of speech, the correct use of grammar, and ensuring that speech does not offend cultural sensitivities.<\/p>\n\n\n\n Omissions<\/strong><\/em><\/p>\n\n\n\n Some AI video translators are programmed to match the length of the audio with that of the video. When this can’t be done, the AI might skip a word or two. <\/p>\n\n\n\n Tone<\/strong><\/em><\/p>\n\n\n\n It can be hugely challenging for video translation software to choose the tone of voice that matches the mood of the video, the meaning of the phrase, and the avatar’s expression. One example is a translation into Mandarin Chinese, which only has four tones. If any tone is wrong, the word will not make sense.<\/p>\n\n\n\n Accent<\/strong><\/em><\/p>\n\n\n\n Some AI video translators produce results where the accent varies or delivers an overall monotonous audio effect. <\/p>\n\n\n\n Despite all these automatic video translation software issues, the future is bright. AI capabilities are constantly improving, and video translation is no exception. In the meantime, businesses should follow recommended best practices to get their ideal result from AI video translation.<\/p>\n\n\n\n This begins with the pre-translation material, which should be created in an intentional way, with short sentences and clear pronunciation. Some AI platforms also allow phonetic spelling input for complex words and names.<\/p>\n\n\n\n Language experts should be consulted to at least review the source material and translation in text form; if you can have them also look at completed videos, that\u2019s even better. <\/p>\n\n\n\n Draft copies of translated videos should be examined for language accuracy and to ensure that facial expressions and tone of voice make sense in context. D-ID\u2019s Video Translate<\/a> is an innovative video translation tool that automates the process of localizing your content in just a few clicks. Simply upload a video to our Studio, choose the languages you want to translate, and then let it generate videos in bulk for you in a few minutes.<\/p>\n\n\nBest Practices for Effective AI Video Translation<\/strong><\/h2>\n\n\n\n