How to Create Explainer Videos with AI: Complete Step-by-Step Guide

Introduction

A few weeks ago, a startup founder I know was preparing a pitch deck for investors. He needed a 90-second explainer video to demonstrate his product concept — a B2B SaaS tool for inventory management. The quotes he got from animation studios started at $3,000 for a basic whiteboard-style video. A proper animated explainer would run $8,000 to $15,000.

He didn't have that kind of budget. So we sat down and built a complete explainer video using AI tools — from script to final render — in two afternoons. The result wasn't Pixar quality, but it was clear, engaging, and good enough to include in the pitch deck. He closed his seed round last week.

That experience convinced me that AI has made professional explainer videos accessible to anyone with a product and a story to tell. You don't need After Effects skills, a voiceover studio, or a $10,000 production budget. You need a clear script, the right AI video generation tool, and a systematic workflow.

Here's exactly how I create explainer videos with AI — the tools I use, the prompts I write, and the workflow I follow from start to finish.

TL;DR

• AI explainer videos cost 90% less than traditional animation — a 2-minute video that would cost $5,000+ from a studio can be produced for under $50 in AI tool subscriptions
• The workflow has four stages: scriptwriting → visual generation → voiceover → editing and assembly
• Wan 2.7 is my go-to AI video model for explainer content because it handles text-to-video generation with good motion consistency and scene transitions
• The most important step is the script — everything else follows from a well-structured narrative
• You can create explainer videos in under 3 hours once you have a system — and iterate on specific scenes without redoing the entire video
• Try the complete workflow using the Wan 2.7 AI Video Generator to generate your first explainer scene

What Is an AI Explainer Video?

An AI explainer video is a short animated or live-action-style video that explains a product, concept, or process. Traditional explainer videos require storyboard artists, animators, voice actors, and sound designers. AI explainer videos replace most of those roles with generative models:

• Scripting → ChatGPT or Claude for copywriting
• Visual generation → AI video models like Wan 2.7 for scene creation
• Voiceover → AI text-to-speech for narration
• Editing → Simple timeline tools for assembly

The quality gap between AI-generated and professionally animated explainers is narrowing fast. For internal communications, pitch decks, social media, and even website hero sections, AI explainer videos are already viable.

Why Use AI for Explainer Videos?

Three concrete reasons from my own experience:

1. Speed. A traditional 2-minute animated explainer takes 4-6 weeks from storyboard to delivery. The AI workflow takes 2-6 hours. For a product launch or pitch deadline, that speed is transformative.

2. Iteration cost. Changing a single scene in a traditional animation means re-rigging and re-rendering. In the AI workflow, you regenerate one prompt and re-export. You can experiment with different visual styles, scene sequences, and narration tones without committing to a full production.

3. Accessibility. The entry barrier is a ChatGPT subscription ($20/month) and an AI video tool subscription ($10-30/month). Total: under $50/month for the ability to produce unlimited explainer videos. Compared to $3,000-15,000 per video from a studio, the ROI is obvious for any business creating regular content.

What You Need Before Starting

Tool	Purpose	Estimated Cost
Scriptwriting	ChatGPT or Claude for drafting and refining	$0-20/month
AI video generation	Wan 2.7 via Pollo.ai for scene visuals	$10-30/month
AI voiceover	ElevenLabs or similar TTS for narration	$5-22/month
Video editing	CapCut, DaVinci Resolve, or Clipchamp for assembly	Free - $10/month
Background music	Pixabay, Uppbeat, or YouTube Audio Library	Free

Total monthly investment: $15-80/month, and most of these tools have free tiers that let you produce your first video without spending anything.

Step 1: Write a Script That Works for AI Visuals

This is the most important step. A great script generates great visuals; a vague script generates generic AI slop.

The format I use for AI explainer scripts:

[SCENE 1: ESTABLISH THE PROBLEM]
Narration: "Managing inventory across five warehouses used to mean spreadsheets, emails, and late-night counting."
Visual Brief: A desk cluttered with papers, a frustrated person staring at multiple monitors

[SCENE 2: INTRODUCE THE SOLUTION]
Narration: "Then came StockSync. One dashboard. Real-time data. Zero spreadsheets."
Visual Brief: A clean, modern interface showing colorful inventory charts, magic-like transition from chaos to order

[SCENE 3: SHOW THE MECHANICS]
Narration: "Connect your suppliers, set reorder thresholds, and let AI predict demand before you run out."
Visual Brief: Animated flow diagram — supplier icon → database → smartphone notification

[SCENE 4: THE RESULT]
Narration: "StockSync customers report 40% fewer stockouts in the first month."
Visual Brief: A smiling warehouse manager giving a thumbs up, stats floating in the background

[SCENE 5: CALL TO ACTION]
Narration: "Start your free trial today."
Visual Brief: Product logo with "Start Free Trial" button, clean minimal background

Key rules for AI-friendly scripts:

• Keep each scene description to 5-10 seconds of narration
• Describe the visual in concrete terms: "frustrated person" not "an emotion of overwhelm"
• Specify visual transitions: "magic-like transition," "zoom in," "pan across"
• Avoid abstract concepts — AI video models generate physical scenes best

Step 2: Generate Visuals with Wan 2.7

Once the script is ready, it's time to generate scene visuals. I use Wan 2.7 because it handles text-to-video generation with better motion coherence than most alternatives at its price point.

For each scene, I prepare a prompt that includes:

[Scene description] + [Style] + [Camera motion] + [Atmosphere]

Example Prompts for Explainer Scenes

Scene 1 — The Problem (10 seconds)

"A cluttered wooden desk with scattered papers, a laptop, and coffee stains. A tired-looking young woman sits behind the desk, rubbing her forehead. Stack of shipping labels and invoices piled up in the background. Soft overhead lighting, slightly desaturated color palette, slow camera pan from left to right. Realistic cinematic style, shallow depth of field."

Scene 2 — The Solution Reveal (8 seconds)

"A clean modern dashboard interface floating in mid-air, showing colorful bar charts and real-time data visualizations. Smooth transition effect as the cluttered background dissolves into a bright, minimal office space. Bright natural lighting, vibrant colors, slow zoom-in on the interface. Tech commercial style."

Scene 3 — The Mechanics (12 seconds)

"An animated flow diagram in a dark blue digital environment. Icons connected by flowing light lines: a warehouse icon on the left, a database icon in the center, a smartphone icon on the right showing a notification badge. Glowing neon blue and purple color scheme. Slow orbit camera movement around the diagram. Motion graphics style."

Scene 4 — The Result (8 seconds)

"A warehouse manager in an orange safety vest standing in a clean, organized warehouse aisle. He smiles and gives a thumbs up. Rows of neatly stacked boxes behind him. Golden text overlay floating in the upper right: '40% fewer stockouts.' Bright industrial lighting, warm color temperature. Documentary photography style."

Scene 5 — Call to Action (6 seconds)

"A clean minimal background in navy blue. A product logo centered in the upper portion. Below it, a glowing pill-shaped button with 'Start Free Trial' text in white. Soft particle effects drifting upward. Cinematic lighting from above, subtle gradient background. Tech brand commercial style."

For each prompt, I typically generate 2-3 variants and pick the one with the best motion quality and scene composition. Not every generation is usable — maybe 1 in 3 scenes makes the final cut — so I always generate extra options for the critical scenes.

You can generate your own explainer scenes using the Wan 2.7 AI Video Generator — it handles text-to-video and image-to-video generation for smooth scene creation.

Step 3: Add AI Voiceover

With the visuals ready, I move to voiceover. Text-to-speech quality has improved dramatically in the last year. Modern AI voices are nearly indistinguishable from human recordings for explainer video narration.

My voiceover workflow:

1. Export the script narration lines as a clean text file
2. Paste into ElevenLabs (or your TTS of choice)
3. Choose a voice that matches the video's tone — professional and warm for B2B, energetic for consumer products
4. Adjust pacing — explainer narration should be slightly slower than conversational speech
5. Generate and download as MP3

Pro tip: Add small pauses between sections by inserting periods or line breaks in the TTS input. A 0.5-second pause between scenes makes the video feel more natural than continuous narration. For a closer look at how it stacks up against other models, see Gemini Omni vs Wan 2.7. If you want to test it without installing anything, the free Wan video generator works in the browser. If you want to test it without installing anything, the free image-to-video generator works in the browser.

Step 4: Edit and Assemble in a Timeline

This is where everything comes together. I use CapCut (free) for assembly, but any timeline-based editor works.

Assembly workflow:

1. Place narration audio on the primary track — this is the backbone of the video
2. Add scene visuals on the track above, aligning each clip with its corresponding narration segment
3. Trim or extend clips — if a visual runs short, slow it down or add a freeze frame; if it runs long, trim the end
4. Add transitions — simple crossfades between scenes (0.3 seconds), avoid flashy transitions
5. Add background music — low volume (-20dB to -15dB), instrumental only, no lyrics
6. Add text overlays — scene titles, key statistics, and the final CTA
7. Export — 1080p, 30fps, MP4 format, H.264 codec

Typical timing for a 60-second explainer video:

Section	Duration	Visuals
Problem hook	0-15s	2 scenes establishing the pain point
Solution intro	15-25s	1 scene showing the product/brand
How it works	25-45s	2-3 scenes demonstrating functionality
Results/proof	45-55s	1 scene with social proof or stats
CTA	55-60s	1 scene with logo and call to action

Best Practices for AI Explainer Videos

Match Visual Style to Brand Tone

If your brand is playful and consumer-focused, use bright colors and cartoon-like scenes. If it's enterprise B2B, stick with clean, minimal, photorealistic visuals. The AI handles both, but you need to be explicit in the prompt.

Keep Scenes Short

Each scene should convey one idea. In an explainer video, 5-8 seconds per scene is the sweet spot. Longer scenes lose viewer attention; shorter scenes feel rushed.

Use Consistent Characters

If your explainer features a character (a user, a customer, a guide), keep the description consistent across all scenes. Same clothing, same hair color, same setting context. Wan 2.7 handles character consistency better than most AI video models, but it still requires precise descriptions in each prompt.

Add Text Overlays for Key Points

Viewers watch explainer videos on mute about 50% of the time (especially on social media). Overlay key statistics, product names, and CTAs as text in the video. Make the text large and high-contrast.

Common Mistakes

Mistake	Why It Happens	How to Avoid
Scenes don't match visually	Prompts were inconsistent with style	Use a style reference phrase in every prompt: "consistent with the previous scene"
Motion is jerky or unnatural	AI video model limited by complexity	Keep scenes simple — 1-2 moving elements max per clip
Narration feels rushed	TTS speed too fast	Slow the voiceover by 5-10% in your TTS tool
Music overwhelms narration	Background track too loud	Keep music at -18dB to -20dB relative to voiceover

Related guides

• Gemini Omni vs Wan 2.7: Which AI Video Model Should Creators Use?
• GPT Image 2 vs Free AI Image Generators: Complete Comparison Guide for 2026
• LTX 2.3 vs Wan 2.7: Complete Comparison Guide for AI Video Creators (2026)

FAQ

How much does it cost to create an AI explainer video?

A 60-second explainer video costs approximately $0.50-2.00 in AI tool usage (token costs + generation credits). If you're using subscription-based tools, the cost is covered by your monthly plan.

Is AI explainer video quality good enough for my company website?

Yes — for most B2B and consumer SaaS products, AI-generated explainer videos are now comparable to mid-range studio productions. For enterprise-level flagship videos, you might still want a professional studio, but for A/B testing, social media, and internal use, AI is more than sufficient.

What's the best AI video model for explainer videos?

I've tested several models, and Wan 2.7 offers the best balance of quality, motion consistency, and cost for explainer content. It handles text rendering, scene transitions, and character consistency better than most alternatives in its price range.

How long does it take to create an AI explainer video?

Once you have a polished script: 2-4 hours. Scriptwriting takes 1-2 hours. Visual generation takes 30-60 minutes (including iterations). Voiceover and assembly takes 30-60 minutes. The first video is always the slowest because you're setting up the workflow.

Can I create an explainer video without showing a human face?

Absolutely. Many of the best explainer videos use screen recordings, animated diagrams, product UI mockups, and abstract visuals. Wan 2.7 handles these styles just as well as character-driven scenes.

The Bottom Line

AI has democratized explainer video production. The tools are mature enough that a solo founder, a marketing team of one, or a startup with no design budget can produce a professional 60-90 second explainer video in a single afternoon.

The workflow is systematic: write a script with concrete scene descriptions, generate visuals with Wan 2.7, add AI voiceover, and assemble in a timeline editor. The hardest part is letting go of perfectionism — your first AI explainer won't look like a $15,000 studio production — but it will be clear, functional, and effective.

And when your explainer helps close a deal or land an investor, the $15,000 you saved starts to feel a lot more important than the polish a studio would have added.

If you want to start experimenting, generate your first explainer scene with the Wan 2.7 AI Video Generator and see what's possible.

References

• Wan 2.7 Official Technical Report — Alibaba's technical paper and model documentation
• ElevenLabs Voice Library — AI voiceover options for explainer narration
• CapCut Video Editor — Free timeline-based video editing tool
• Explainervideo.com Best Practices — Industry guide to explainer video structure and timing
• Reddit r/ArtificialIntelligence — AI Video Generation Discussion — Community discussions on AI video model capabilities and comparisons