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AI Explainer Video Generator

A talking AI presenter delivers your narration over generated concept footage.

How do I make an AI explainer video with a presenter?

Generate a presenter avatar in Canvas, then animate it with Kling 3.0 Omni native lipsync: type the explanation script and the presenter mouth syncs to the narration. Layer generated concept footage from Seedance 2.0, then stitch presenter and b-roll clips on the Canvas Timeline into a complete explainer.

Looking for a general AI ad video rather than a narrated explainer? See the AI ad generator guide

AI explainer video components

What a Renoise-generated explainer video is made of.

AI presenter

Generate a fictional presenter — appearance, style — or clear a real face via FacePass.

Narration lipsync

Kling 3.0 Omni syncs the presenter mouth to your script — no external voiceover sync needed.

Concept b-roll

Generate concept footage with Seedance 2.0 to illustrate what the presenter explains.

Canvas Timeline

Stitch presenter clips and b-roll into a complete narrated explainer on one canvas.

AI explainer video in 3 steps

From a script to a narrated explainer with a presenter and generated b-roll.

  1. Generating an AI presenter portrait in the Renoise Canvas for an explainer video
    Step 1

    Generate the presenter

    Describe the presenter look in Canvas and generate a portrait with an image model — the anchor face for your explainer video.

  2. Selecting Kling 3.0 Omni and entering a narration script in Renoise Canvas
    Step 2

    Select Kling 3.0 Omni and add lipsync script

    Switch to video mode, select Kling 3.0 Omni, upload the presenter portrait as a reference, and type the narration script for native lipsync.

  3. Kling 3.0 Omni model panel and Canvas Timeline for assembling an explainer video in Renoise
    Step 3

    Generate b-roll and stitch

    Generate concept footage on Seedance 2.0 with text prompts. Then stitch presenter and b-roll clips on the Canvas Timeline for a complete explainer.

Explainer video formats you can build

AI-generated explainer clips from Renoise — talking presenter, concept b-roll, and narrated product walkthroughs.

AI presenter walking through a product explainer video with item displayed on a lit pedestal

Product explainer

Presenter walks through a product with b-roll showing the item in use.

AI presenter delivering step-by-step narration alongside process diagram in a how-it-works explainer video

How-it-works video

Step-by-step narration from an AI presenter over process footage.

AI presenter in office setting introducing a SaaS feature walkthrough to camera

SaaS feature walkthrough

Presenter introduces a feature set — camera-to-camera delivery, scripted.

Abstract concept overview with glowing geometric visuals and AI presenter narrating to camera

Concept overview

Abstract concept illustrated with generated b-roll and a narrating presenter.

Presenter clip vs concept footage — which model

Use Kling 3.0 Omni for the talking presenter with lipsync; use Seedance 2.0 for concept b-roll and audio-native explainer footage.

For explainer videoKling 3.0 OmniRecommendedSeedance 2.0
Best forTalking presenter, scripted lipsyncConcept b-roll, audio-native footage
Native lipsync
Multi-subject consistencyGood
Audio-native output
Clip length3–15s (≤10s with ref video)4–15s
Resolution720p / 1080p720p / 1080p

What makes an AI explainer video different from a general ad

Explainer videos and ad videos share some DNA — both usually have a presenter and some kind of call to action — but their primary jobs differ. An explainer video is built to transfer understanding: it walks the viewer through how something works, what a product does, or why a concept matters. The presenter is the anchor for that explanation, not a persuasion vehicle. Ad videos lead with desire or urgency; explainer videos lead with clarity.

In Renoise the workflow reflects that. You start by generating a presenter whose job is to narrate — generate a reliable, clear, presenter-type avatar rather than a high-impact ad face. The lipsync is the core: Kling 3.0 Omni takes the explanation script and animates the presenter mouth to match the narration, so the talking-head clip is the scripted walkthrough. Seedance 2.0 handles the concept footage — the b-roll that shows what the presenter is explaining: product shots, abstract concepts, process visuals.

The Canvas Timeline ties it together: presenter clip, b-roll, presenter again, b-roll — the cut structure of a standard explainer. Stitch them into the right order and you have a complete narrated video without a recording setup or a voiceover session. The whole thing is generated and assembled in one canvas, which makes iteration fast: change the script, re-lipsync, adjust b-roll, export again.

For a real presenter (your own face, a team member), the same workflow applies — but the face must clear FacePass before it can be used as a reference in generation.

Renoise capabilities used

Explainer video production draws on image models, video models, lipsync, and Canvas Timeline.

Kling 3.0 Omni lipsync

Syncs the presenter to a narration script — the core of the explainer format.

Seedance 2.0

Audio-native concept b-roll to illustrate what the presenter explains.

FacePass

Clears a real presenter face if you use a real likeness rather than a fictional avatar.

Canvas Timeline

Stitch presenter and b-roll into the cut structure of a complete explainer.

Production explainer vs Renoise

Traditional production

  • Script → hire presenter → studio shoot
  • Voiceover and lip-sync added in post
  • B-roll from stock library or a second shoot day
  • Revision = re-shoot or re-record
  • Days from brief to first cut

Renoise

  • Generate a presenter avatar in Canvas in minutes
  • Native lipsync from the script — no separate voiceover session
  • Generate concept b-roll from text prompts
  • Revise script, re-lipsync, update b-roll — no re-shoot
  • Stitch the full explainer on Canvas Timeline and export

Choose your plan

One plan covers Kling 3.0 Omni, Seedance 2.0, and the Canvas Timeline for explainer production.

Starter
$20/mo
Upgrade Plan
1,200©/mo
$1.67 / 100©Generate up to 3,000 images or 150 videos every month.
Watermark-free exports
20 FacePass Assets
Image Models
Video Models
Standard
$60/mo
Upgrade Plan
3,600©/mo
$1.67 / 100©Generate up to 9,000 images or 450 videos every month.
Watermark-free exports
50 FacePass Assets
Latest Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
Latest Video Models
Seedance 2.0 HappyHorse 1.0
◈ Best Value
Advance
$200/mo
Upgrade Plan
14,000©/mo
$1.43 / 100©Generate up to 35,000 images or 1,750 videos every month.
Watermark-free exports
Unlimited FacePass Assets
Latest SOTA Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
Latest SOTA Video Models
Seedance 2.0 HappyHorse 1.0

Build your AI explainer video

Generate a presenter, script the narration, layer the b-roll — complete explainer in Canvas.

Frequently asked questions

1.What is an AI explainer video generator?

An AI explainer video generator creates narrated walkthrough videos using a generated presenter avatar, native lipsync, and generated concept footage — no studio, camera, or voiceover session needed. In Renoise, Kling 3.0 Omni handles the talking presenter; Seedance 2.0 handles the concept b-roll.

2.How do I make the presenter talk in sync with a script?

Select Kling 3.0 Omni in Canvas, upload the presenter portrait as a reference frame, type the narration script, and generate. Native lipsync animates the presenter mouth to match the spoken line — no post-sync work required.

3.How is an explainer video different from an ad video?

An explainer video is built to transfer understanding — how a product works, what a feature does, why a concept matters. An ad video leads with desire or urgency. Explainers are usually longer, presenter-led, and structured around a walkthrough; ads are punchy and conversion-focused. The AI ad generator guide covers ad creative specifically.

4.Can I use my own face as the presenter?

Yes, but your face is a real likeness that requires FacePass clearance. Submit it for whitelist review; once approved it can be used as a reference frame for the presenter avatar. FacePass is consent-first and the review is not guaranteed to pass.

5.What resolution do AI explainer videos output at?

Kling 3.0 Omni and Seedance 2.0 output at 720p or 1080p. For a presenter portrait used as the source frame, the image can be generated at up to 4K, giving a sharp reference before animation.

6.Can I revise the script and re-generate without starting over?

Yes. Edit the script text, keep the presenter reference, and re-run the lipsync generation on Kling 3.0 Omni. The Canvas holds your references so the revised clip uses the same presenter without re-generating the image from scratch.

By Max, RenoiseLast reviewed Models verified: Kling 3.0 Omni, Seedance 2.0