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Auto-generated subtitles for corporate video: pros, cons and when to use them
A practical guide to automatic subtitles for corporate video: how they work, where they fail and when it is worth transcribing by hand.
Most editing tools now include some kind of automatic subtitle generator. DaVinci Resolve, Premiere Pro, CapCut, Descript... they all have the feature. The workflow is the same: you upload the video, the software transcribes the audio and gives you subtitles in seconds. What changes is what you do afterwards.
I use auto-generated subtitles often on corporate video projects, but I never publish them without reviewing them. Here I explain where they work well, where they fail and when I prefer to transcribe by hand from the start.
Why subtitles matter in corporate video
85% of video on social media is watched without sound. On LinkedIn, where a lot of corporate video is consumed, muted autoplay is the default behavior. Without subtitles, the message disappears. It is not an accessibility nice-to-have: it is what makes the content work.
In interviews, testimonials or internal training videos, subtitles also reduce the viewer's cognitive load. They make it easier to follow along when there is technical terminology or when the audio isn't perfectly clean because of shooting conditions.
How auto-generated subtitles work
The tools I use
For projects edited in DaVinci Resolve, I use the built-in transcription feature available since version 18. For videos going straight to social media, CapCut has a good Spanish implementation with easy typography controls. For projects where the client needs a separate SRT file, OpenAI's Whisper via the command line gives me the most consistently accurate results I have found.
Where they work well
When the audio is clean, the speaker talks clearly and the content is in standard Spanish, accuracy is high: between 90 and 95% of words. In that scenario, manual review comes down to fixing punctuation, adjusting the timing of a few cuts and keeping the style consistent. The time saving is real: what would take 45 minutes to transcribe by hand takes me 10 to review.
Where they fail
Problems show up with strong regional accents, industry jargon, proper names and fast speech. In an interview where the spokesperson uses specialized medical, financial or legal terms, the software transcribes them as best it can. An error in a technical term is not a minor typo: it is misinformation. In those cases, I review every line.
When to transcribe by hand
- The video includes technical terminology specific to the client's industry.
- There are names of people, companies or products the model doesn't recognize.
- The speaker has a strong accent or talks quickly.
- The audio has significant background noise: events, windy exteriors, open-plan offices.
- The content is for legal use, certified training or internal audits, where any error has consequences.
- The client will read the subtitles before approving the video and there is little room for revisions.
Frequently asked questions
Are auto-generated subtitles good enough for a formal corporate video?
It depends on the level of accuracy the project requires. For social media content, yes, with review. For an institutional presentation or a video where the text will be read closely, I prefer to transcribe manually or review 100% of the automatic output before signing off on the video.
Which subtitle format should I deliver to the client?
It depends on the final use. SRT is the most universal format: it works on YouTube, Vimeo, e-learning platforms and most players. If the client wants subtitles burned into the video, I handle that directly in the edit timeline, with no need to export a separate file.
How long does it take to review the auto-generated subtitles of a 3-minute video?
Between 10 and 20 minutes if the audio is clean and the content is in standard Spanish. If there are a lot of corrections, it can get close to the time of a manual transcription. That is the point at which the automatic option stops making sense and it is worth starting from scratch.
Do subtitles affect a video's ranking on YouTube?
YouTube takes subtitle text into account when indexing content. Accurate, well-synced subtitles help the video show up in searches related to what is said in it. If the auto-generated subtitles contain errors, those errors get indexed too.
Auto-generated subtitles are a useful tool, not a process that can run unsupervised. I review them before publishing any subtitled video. If you are planning a corporate video production and want the result ready to publish with no extra work on your side, you can get in touch through the contact page.