AI subtitles and translation for corporate video: who reads every line before it ships

For the subtitles on a corporate video, AI has a place, and you can use it without apologising. Automatic transcription gives a fast first draft, and machine translation gives a working base. The tool is not the problem. The problem is a file that goes live before anyone has read every line. In a B2B video, the subtitle is your operations director's or your president's speech, set down in black and white. An error in that text does not read as a technical glitch. It reads as something they said.

This page will not show you how to subtitle a video. It tells you where the machine is enough, where it almost always fails in a Quebec industrial company, and who has to sign off on the file before it goes out.

Why subtitles are where the machine is acceptable

A subtitle creates nothing. It transcribes words that were actually spoken, by a real person, in front of a real camera. The proof is the footage. The text file is only a way to make it readable with the sound off. That is the difference from a generated image or a synthetic voice: there, the machine manufactures the proof itself. Here, it transcribes it.

The platforms draw the same line. In its help page on disclosing generated content, YouTube requires a disclosure when realistic content makes a real person appear to say or do something they did not say or do. The same page lists caption creation among the uses that do not need to be disclosed. In other words, nobody will hold it against you that a tool produced your subtitles. They will hold you to what the subtitles say.

YouTube itself does not claim its automatic captions are reliable. Its help page says their quality may vary, and that they can misrepresent the spoken content because of mispronunciations, accents, dialects or background noise. It adds that you should always review automatic captions and edit anything that was not transcribed properly. That is the platform saying it, not a supplier trying to sell you proofreading.

Three places the first draft fails on a plant floor

Read YouTube's list a second time with an industrial shoot in Quebec in mind. Accents, dialects, background noise: that is an exact description of an interview on a plant floor.

Technical vocabulary. Take, as an illustration, a conveyor manufacturer in the Beauce. Its production manager talks about motorised rollers, tolerances to the thousandth and 316L stainless steel. A transcription tool knows common words. It knows far less about your product line's name, an alloy designation or the acronym of a standard in your sector. It will write a word that exists, sounds the same, and is wrong. For a technical buyer that is worse than a typo: it is a sign that nobody at your company looked.

French as spoken in Quebec. A foreman in Saint-Georges does not talk like a newsreader. There are shop-floor anglicisms, dropped syllables, regional expressions. The machine has to guess, and the question that follows is not technical. Should the subtitle carry exactly what was said, or make it readable without betraying it? That is an editorial decision. It belongs to someone who knows the person on screen and the audience who will read it, not to software.

Proper names. Your customer's name, your plant's, your town's, your product's. Chicoutimi, Saint-Hyacinthe, the name of a prime contractor you have permission to mention. A name misspelled in the subtitles of a testimonial video is noticed first by the customer.

Translation: a different job, a different reader

Translating the subtitles to sell into Ontario or the United States adds a layer of risk, because the person who checks the French often cannot check the English. A hydraulic parts distributor in Montérégie may have a perfectly bilingual sales director. It does not necessarily have someone who writes the English of an American buyer.

Machine translation carries the words. It carries the trade less well. The French "soumission" has several English renderings, and only one is right in a tender. "Pont roulant" easily turns into a phrase no English-speaking plant has ever used for an overhead crane. "Donneur d'ordres" has no word-for-word equivalent. And numbers travel badly: a French decimal comma left as is in an English subtitle changes how a dimension reads. An engineer in Detroit will not call you to check. He will move on to the next supplier.

Two requirements follow. First, each language gets its own file and its own reader. The format constraints on LinkedIn, including the fact that a bilingual market is served with two cuts, are covered in what to demand from a LinkedIn B2B video. Second, the reader of the English version has to know the English of your sector, not just English.

Who has to read every line

Here is what a serious supplier asks you for, and what you should demand if they do not ask.

• A named reviewer at your company for technical content. Not the communications team alone. The person who knows the products, often the engineer or the operations director. They do not review style. They review terms, figures and standards.
• The person on screen, or someone who speaks for them. These are their words. If the subtitle rephrases them, they need to know before publication, not discover it on LinkedIn.
• A list of terms and proper names supplied before the edit. It costs almost nothing to produce and it prevents half the corrections. A supplier who never asks for it will correct at random.
• A review on the final cut. A subtitle approved on an earlier version stops matching the edit the moment a cut changes. The approved file must be the one that ships.

The question to put to your supplier is simple: who on your side read every line of this file, and who on ours approved it. If the answer is "the tool is very good", you know there was no reader. The quality of the tool was never the question.

A video in a feed is watched with the sound off first, so subtitles belong in the plan from the start. And because we are two people, the person who shot the interview is the one who then runs the campaign. They heard the sentence on site and know what the speaker meant. The full production frame is on the video production and content page.

When this level of review is not needed

Not every video deserves the same care, and pretending otherwise would be selling proofreading for nothing.

An internal recording, watched once by the production crew for training, can live with lightly corrected automatic captions. Nobody outside will read it. The risk is low, and the review time is better spent elsewhere.

On the other hand, if you have nobody to read a language, the answer is not to publish the machine translation anyway. It is not to publish in that language until you have a reader. A video with no English version does not cost you credibility with an American buyer. A faulty English version does.

And if your video has no speech at all, only process footage and music, the question does not arise. What remains is the on-screen text, which gets proofread like any other advertising copy.

Sources

• Use automatic captioning, YouTube Help, https://support.google.com/youtube/answer/6373554, fetched 30 September 2026.
• Disclosing use of GenAI content, YouTube Help, https://support.google.com/youtube/answer/14328491, fetched 30 September 2026.