How to make explainer videos using AI

Voiceover: the voice is doing your credibility work

In an explainer video, the voiceover isn't background. It's primary. The viewer is trusting the voice to guide them through something unfamiliar, which means tone matters as much as content.

The range you're choosing from in Videfy is wide enough that it helps to know what you're looking for before you start previewing. For most explainer content, the right register is somewhere between conversational and authoritative: clear enough to follow easily, grounded enough to feel credible. Voices that sound like radio announcers or corporate narrators signal "ad" immediately; voices that sound like a knowledgeable person mid-explanation signal "information."

Preview each candidate voice with the most complex sentence in your script, the one where the idea is hardest to track. The voice that makes that sentence easy to follow is the right voice, regardless of how it sounds on the sample clip.

Pace also matters. AI voiceovers sometimes default to a slightly faster cadence than a human would naturally use for explanation. If your script has numbers, technical terms, or comparisons, check that the voice gives them enough room. Listeners need a beat to process specific information before the next idea arrives.

On-screen text: the parallel track

A meaningful share of viewers will watch your explainer video without sound, particularly on LinkedIn where autoplay is muted by default, and on mobile where people are in public spaces. If the video only works with audio on, you've cut yourself off from a significant portion of the people it will reach.

On-screen text in an explainer video isn't just captions. It's a second pass at the explanation. Key terms, the name of what you're explaining, the core outcome, the call to action: all of these should land visually at the same moment they land in the audio. Someone watching silently should be able to follow the logic.

Generate captions through Videfy and check them for accuracy on any proper nouns, product names, or technical terms. Then add deliberate on-screen text overlays at the moments that carry the most weight. Treat them as emphasis, not decoration.

The review process

Explainer videos have a specific failure mode that most other video types don't: they seem clear to the people who made them and confusing to everyone else. The people making the video already understand what's being explained, which means they stop noticing the gaps in logic that a fresh viewer would hit.

The fix is to have someone watch it who doesn't already know the thing you're explaining. Not a teammate who's been in the same meetings. Someone outside the project. Watch their face, not the screen. The moment they look slightly confused, note the timestamp. That's where the explanation broke down.

In Videfy, client review happens frame-level on the timeline, which makes specific, timestamped feedback easy to capture and act on without a second round of emails to figure out what "the middle part" means. For explainer videos especially, where precision matters, that specificity cuts revision time significantly.

One video, multiple formats

A finished explainer video is usually the beginning of a content asset, not the end. The same core content can be cut into a shorter version for paid ads, a vertical version for social, a version without the call to action for embedding in documentation or onboarding flows, and a version with localized voiceover for different markets.

Videfy's variant workflow makes this faster than rebuilding from scratch. The source storyboard and script stay intact while the cut or format changes. It's worth planning for these variants before you render the primary version, because some formatting decisions (where the visual emphasis lands, how subtitles are positioned) affect whether the footage translates well to a vertical crop.

The explainer video you make once should work harder than once.

Start building your explainer video at videfy.ai