How to Add Captions to Course Videos Using CapCut

Open CapCut on your desktop (Mac or Windows) or mobile device. Create a new project and import your course video. CapCut supports MP4, MOV, and most standard video formats. Drag the video onto the timeline. If your video is already edited and finalized, you're adding captions as the last step before publishing — which is the workflow I'd recommend.

Click "Text" in the top toolbar, then select "Auto captions." Choose your language (CapCut supports dozens) and click "Generate." CapCut's AI will process the audio and produce time-synced captions in about 30 seconds to a minute for a typical course lesson. The captions appear on the timeline as individual text blocks aligned to your speech.

The speed here is impressive compared to manual captioning. Typing captions by hand for a 15-minute lesson takes 45 minutes to an hour. CapCut does it in under a minute. Even accounting for the correction step that comes next, you're saving significant time.

This step is not optional. Auto-generated captions always have errors — technical terms, proper nouns, unusual words, and sometimes just ordinary words that the AI misheard. Click through the caption blocks on the timeline and read each one. Correct any mistakes by clicking the text and editing directly.

Pay special attention to terms that are central to your course subject. If you teach yoga, make sure "asana" isn't rendered as "a sauna." If you teach energy healing, check that "reiki" appears correctly. Your domain terminology is exactly where auto-captioning struggles most, and it's exactly where accuracy matters most for your students.

CapCut includes a library of caption style templates — clean modern text, highlighted word-by-word animations, colorful backgrounds, minimal and bold variations. Browse the templates and pick one that matches your course aesthetic. For educational content, I'd lean toward readable over trendy: a clean sans-serif font at a size large enough to read on a phone screen, with enough contrast against your video background.

A few style choices that work well for course videos:

• White text with a semi-transparent dark background — readable on any video content, professional look
• Word-by-word highlighting — each word lights up as it's spoken, which helps with comprehension and holds attention
• Bottom-center positioning — the conventional placement that viewers expect and that doesn't cover your face if you're on camera

After applying a style, check the font size and position. The captions should be large enough to read on a phone screen (this is where most people get it wrong — captions that look fine on your 27-inch monitor become unreadable at phone size). Position them in the lower third of the frame, leaving enough space that they don't overlap with your face if you're on camera, or with any key visuals in a screencast.

Preview the video at different stages to make sure the captions don't cover important content. If you're demonstrating software and your captions block the toolbar, adjust the position or reduce the font size. Small adjustments here make a real difference in the viewing experience.

When everything looks right, export your video. Go to the export panel, choose 1080p resolution and MP4 format, and export. CapCut burns the captions directly into the video file — they'll appear for every viewer regardless of their player settings. This is called "open captions" and it's the most reliable approach for course content because you don't have to worry about whether your course platform or your student's device supports separate caption files.

Some course platforms and video hosts offer their own captioning. The problem is that you lose control over the styling and accuracy. By captioning in CapCut before you upload, you control exactly how the captions look, you've verified every word, and the result is consistent across every lesson in your course.

Reading your own words as captions is surprisingly revealing. You'll notice filler words you didn't realize you use, sentences that don't land clearly in text, and explanations that meander. Use the caption review as an opportunity to tighten your delivery in future recordings. It's like getting a free transcript review of every lesson.

CapCut burns captions into the video, which means they can't be turned off by the viewer and they can't be searched or indexed by platforms that support closed captions. If you need a separate SRT or VTT caption file — for YouTube's closed caption system, for compliance with specific accessibility standards, or for a platform that requires it — Descript can export standalone caption files alongside your video.

CapCut's auto-caption accuracy, while good, isn't perfect. For content with heavy jargon, multiple speakers, or non-English languages, you'll spend more time correcting than you save on generation. In those cases, a service like Rev (which uses human reviewers) may produce more reliable results — though at a higher cost.

CapCut is owned by ByteDance (the company behind TikTok). If your organization has policies about using ByteDance products, that's worth checking before building CapCut into your workflow. The tool works well, but the ownership is a consideration for some creators and institutions.