How to make an AI avatar explainer video

An avatar can deliver a script, but the explanation still depends on what the viewer sees and understands. For a software tutorial, the most useful visual is often the actual interface. Use the presenter to introduce and connect ideas, then let the relevant screen, diagram or example do the teaching.

Start with a short scene plan before generating anything. It is much cheaper to change a sentence in a document than to discover after rendering that the whole video explains the wrong task.

Plan one complete action

Imagine a one-minute onboarding video showing a customer how to book an appointment. The following is a proposed scene plan, not a tested production:

The durations should follow the finished narration. Do not squeeze an unreadable screen into a rigid five-second scene just to hit exactly one minute. The acceptance test is whether a new customer can identify the next action and verify the booking details.

For a conceptual topic, replace the interface with a diagram. For a product claim, show real evidence. A realistic avatar is not a substitute for that evidence.

Approve the script before the face

Write for speech: one action or idea at a time, familiar wording and explicit references to what is on screen. “Click here” is fragile when the layout changes. “Choose a time under Available appointments” remains useful if that label is still correct.

Read the script aloud. Mark product names, abbreviations and numbers that may need pronunciation work. Confirm prices and policies with the person responsible before generation. A smooth delivery can make an incorrect policy sound more authoritative, so factual review belongs before visual polish.

Keep on-screen text shorter than the narration. If both repeat a long paragraph, the viewer must choose between reading and listening. Use the text to identify the action or preserve an important detail such as the timezone.

Choose the tool around revisions

HeyGen and Synthesia both belong on the shortlist, but compare them using the scene you will actually produce. Consider language and pronunciation controls, presenter options, screen assets, brand layout, collaboration and how a revision consumes allowance.

HeyGen's credit guide lists different costs for different avatar models and features. Its in-product estimate matters more than assuming every minute has one universal price. Synthesia's pricing page describes a shared credit pool: video, dubbing and generated assets compete for that allowance.

Build a budget from the first render plus plausible corrections. If you expect three languages, include pronunciation review and the possibility of replacing a scene in each version. “Three finished minutes” does not necessarily mean only three minutes of generation work.

Generate the difficult scene first

Pick the sentence with the unusual product name or the scene combining a presenter with a detailed interface. Generate that part before committing to the entire video. Check pronunciation, lip movement, pacing and whether the viewer has enough time to understand the visual.

If the scene fails, identify the cause. A mispronounced name needs a pronunciation fix. A crowded slide needs less text or a closer view. A presenter covering an important button needs a layout change. Changing the avatar's clothing will not fix any of those problems.

Use an avatar you are authorized to use and follow the platform's consent process for a custom likeness. Do not turn a stock presenter into an invented customer testimonial or imply that a real person made an endorsement they did not make.

Assemble for comprehension

Alternate presenter and evidence deliberately. The presenter can introduce the booking task; the screen recording should carry the actual click sequence. Leave the completed result visible long enough to recognize it. Match captions to the spoken wording and check the export on a phone as well as a desktop.

For revisions, keep scene numbers and script versions. “Scene 3: change the cancellation period” is actionable feedback. “Make the video more engaging” is not. When a policy changes, the scene map tells you which language versions and captions must also change.

Before delivery, ask someone unfamiliar with the process to explain the next action after watching. If they cannot, simplify the explanation before adding more animation. This is a proposed review method, not a claim of measured learning improvement.

Publish a version you can maintain

Label synthetic material when the context or destination requires it; YouTube's altered-content guidance describes its own requirements. Keep the script, source visuals and approved export together so a future product change does not force you to reconstruct the project.

The finished video should explain one task accurately and make its result visible. Once that works, expand the format to a series. A consistent scene structure is worth reusing; a weak explanation delivered by an attractive avatar is not.