AI explainer video generator that keeps your product front and center

An explainer video has one job: make the product clear. The viewer needs to understand what the product does, how it works, and why it matters in sixty to ninety seconds. The product itself is the load-bearing visual. If the bottle shifts between the wide shot and the close-up, if the label reads differently in shot three than in shot one, the viewer loses trust and the explainer fails.

Most AI video tools cannot sustain product fidelity across a multi-shot explainer. Each generation is independent. You prompt for the product, you get something that may or may not match the previous shot. Avocado AI fixes this with brand fine-tuning, which locks the product identity across every shot in the sequence.

Brand-fine-tuned product shots across the explainer sequence

Upload twenty to forty product photos. Avocado fine-tunes any of nineteen image models on your products. The fine-tuned model becomes a persistent brand identity. Every shot in the explainer, from the wide to the detail close-up, references the same fine-tuned product. The bottle, the label, the colour, and the texture stay consistent across the entire sequence.

Cinematic motion from Seedance and Veo 3

The explainer needs motion: the slow pan across the product, the 360-degree reveal, the detail close-up, and the lifestyle context shot. Seedance 2.0 handles the controlled cinematic motion. Veo 3 handles the brand film closer with native audio. Both seeded from the same brand-fine-tuned still, so the product carries from still into motion with the fidelity intact.

Voiceover that explains clearly

An explainer lives or dies on the voiceover. The voice needs to be clear, measured, and consistent with the brand tone. Avocado generates voiceover from your script using voice generation, or clones a consistent brand voice across multiple explainer variants using voice cloning. The voiceover lives on the same canvas as the video clips, so sync is automatic.

Music that supports without distracting

The music bed in an explainer needs to support the narrative without competing with the voiceover. Avocado's Music Studio produces subtle, energy-matched beds that sit under the voice cleanly. Generate the track in the same session, next to the clips and the voiceover, so the mix happens on one canvas.

Compose: the built-in editor for the explainer cut

Compose is the video editor built into Avocado. It handles the timeline, the transitions between shots, the text overlays for callouts, and the export. It reads the clips generated in the same session natively. No re-encoding, no format mismatch, no leaving the workspace. Export at specs for YouTube, Shopify, landing pages, and paid social.

The week-one explainer workflow

Most teams ship their first explainer in three days. Day one is fine-tuning a brand model on your product photos. Day two is generating the explainer sequence in Storyboards: the wide shot, the detail close-up, the lifestyle context, and the call-to-action shot. Day three is adding the voiceover, the music bed, and finishing the cut in Compose. The polished explainer is live by the end of the week.

Storyboards for planning the explainer sequence

Before generating a single clip, the team plans the explainer sequence on the Storyboards canvas. Drop cards for each shot: the problem statement, the product introduction, the feature demonstration, the social proof, and the call to action. The Lini agent suggests shot angles and transition ideas based on the brand brief. The team reviews the plan on the multiplayer canvas, adjusts the sequence, and then generates each shot from the fine-tuned model. Planning first means the final edit in Compose is assembly, not discovery.

Scaling explainers across a product line

For a brand with ten or twenty products, each product needs its own explainer. The cost of traditional production scales linearly: ten explainers means ten studio days. Inside Avocado, the marginal cost of an additional explainer is the cost of generating a few more clips from the same fine-tuned model. Fine-tune once on the product line, generate the explainer sequence for each SKU, and finish in Compose. A brand can ship explainers for an entire catalogue in the time it used to take to produce one.

The Lini agent also helps with scripting. Describe the product benefit in one sentence, and Lini drafts a sixty-second explainer script with visual direction cues for each shot. The team edits the script on the canvas, then generates the sequence. This turns a multi-day scripting process into a single session.