AI presenter
Generate a fictional presenter — appearance, style — or clear a real face via FacePass.
A talking AI presenter delivers your narration over generated concept footage.
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
What a Renoise-generated explainer video is made of.
Generate a fictional presenter — appearance, style — or clear a real face via FacePass.
Kling 3.0 Omni syncs the presenter mouth to your script — no external voiceover sync needed.
Generate concept footage with Seedance 2.0 to illustrate what the presenter explains.
Stitch presenter clips and b-roll into a complete narrated explainer on one canvas.
From a script to a narrated explainer with a presenter and generated b-roll.

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

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

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

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

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

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

Abstract concept illustrated with generated b-roll and a narrating presenter.
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 video | Kling 3.0 OmniRecommended | Seedance 2.0 |
|---|---|---|
| Best for | Talking presenter, scripted lipsync | Concept b-roll, audio-native footage |
| Native lipsync | ✓ | — |
| Multi-subject consistency | ✓ | Good |
| Audio-native output | — | ✓ |
| Clip length | 3–15s (≤10s with ref video) | 4–15s |
| Resolution | 720p / 1080p | 720p / 1080p |
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.
Explainer video production draws on image models, video models, lipsync, and Canvas Timeline.
Syncs the presenter to a narration script — the core of the explainer format.
Audio-native concept b-roll to illustrate what the presenter explains.
Clears a real presenter face if you use a real likeness rather than a fictional avatar.
Stitch presenter and b-roll into the cut structure of a complete explainer.
One plan covers Kling 3.0 Omni, Seedance 2.0, and the Canvas Timeline for explainer production.
Generate a presenter, script the narration, layer the b-roll — complete explainer in Canvas.
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.
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.
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.
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.
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.
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.