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How to make AI avatar videos people watch to the end

A step-by-step process for AI avatar videos: script to a word count, pick a believable presenter, set the length, generate in the right language, and QC on a phone.

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An AI avatar video is a generated person saying words you wrote. When one feels off, the cause is almost always the script, then the length, then the presenter. Work in that order.

What avatar video is good at#

A face with a voice gets a credibility check that text on screen does not. If the delivery passes, the claim lands harder. Avatars work for explanation, objection handling and answering questions to camera. Turn the objection you hear on every sales call into a video that answers it first.

They are weak at spectacle, at complex physical action, and at replacing a founder whose face people already know. If your audience knows you, an avatar is a downgrade.

Step 1: write the script to a word count#

Do not open the generator yet. Speech runs at about 150 words per minute, so:

  • 15 seconds: 35 to 40 words
  • 20 seconds: 48 to 52 words
  • 30 seconds: 72 to 78 words

Ninety words in a 20 second slot gives you a presenter talking too fast to trust, and it will look like a model problem.

Use four beats: a specific situation, the turn, the thing you can show, one named action. Do not open with the product name or “hi guys”. See AI script writing for short-form for more.

Step 2: choose a person, not a face#

Look for someone plausible, not attractive. Would this person use this product? A 22 year old in a bright kitchen fits a protein bar, not tax software. Credibility comes from the match between person and claim.

Then ask whether this can be the same person next month. One recurring presenter across a quarter beats twelve better-looking one-offs. In Looptake you describe the presenter and can save them as an AI influencer with a fixed name, look and voice, reusable in every video. The full build is in how to make an AI influencer.

Step 3: set the length before you render#

Length is a setting, and for talking-head video it also drives cost. Get the script right in text, where changes are free, and render once. Test the claim first in a text-on-screen format, then pay for the face once it holds attention. Credit details are on pricing.

Step 4: pick the language at generation#

If you need Spanish, generate in Spanish. A script written in English and translated later reads as translated, because word order and idiom give it away. Check this in any tool: some “support” many languages by translating your English.

Step 5: the inputs that change the output#

  • Reference image. A fixed image removes most of the variation between renders. Same picture, same person.
  • Appearance fields. Gender, age and look as separate inputs let you hold them constant across a campaign.
  • Captions. Turn them on. Much viewing happens muted, and a muted avatar with no text says nothing. Looptake adds word-timed animated captions by default; see how to add captions to short videos.
  • Delivery mode. If the tool offers modes, try each once on the same script, then pick a house default.

Step 6: the 60 second QC pass#

On a phone, before anything is scheduled:

  1. Sound off, arm’s length. Can you tell what it is about from the frame alone?
  2. First two seconds only. Would you keep watching?
  3. Lips on p, b and m. Lip-sync drift shows there first. Viewers call it “fake” without knowing why.
  4. Last second. Is the presenter still doing something after the point? Cut it.

Re-render only for script failures, usually checks 1 and 2. Checks 3 and 4 are usually a trim or a caption fix. Looptake’s scene editor handles trims and caption changes without a new render.

Common failures#

Dead eyes on long takes. Expression varies less as length grows. Make it shorter, or cut to product footage halfway.

Narrator voice. The script was written to be read. Signs: no contractions, long clauses, sentences that need a breath. Read it aloud before you render.

Gesture loop. The same hand motion on repeat, most visible on long renders against plain backgrounds. Shorten it, or give the background something to look at.

Wrong room. A setting that contradicts the claim. Nobody names it; everyone feels it.

House accent. Forty videos, one energy, one rhythm. Audiences skip them as a block. Vary pacing and openings even when the presenter stays.

Do not write a testimonial#

The most tempting avatar script is “I tried this for 30 days”. Do not write it. A generated presenter is not a customer, and presenting one as a customer is a fabricated endorsement under platform rules and advertising law.

These work instead: the presenter explains the product, answers a question, lists what it does not do, walks through a comparison, or reads a real review clearly attributed as a review.

Reuse is the leverage#

One good presenter and one good script skeleton turn a quarter of content into filling in variables. Keep a document with the presenter, the openings that worked and the word counts.

In Looptake you can describe the video in one sentence and get the avatar video with script, voice, captions and music in 9:16, then edit scenes and schedule it. Start from the AI video generator.

Describe it. Looptake writes, renders, scores and posts it to TikTok, Reels and Shorts.

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