How to Make an Explainer Video With AI (Starting From a Rough Draft)
You can make an explainer video with AI in five steps, starting from text you already have — a rough draft, a product page, an FAQ, or an email you wrote to a customer:
- Paste the rough text in. You do not need a script. A product description, an article, or a pasted paragraph is a valid starting point.
- Let AI turn it into an explainer structure — a hook, the problem, how it works, the proof, the call to action — broken into scenes and shots with a target runtime.
- Generate the voiceover from that script with text-to-speech, so the narration and the visuals are timed together rather than reconciled afterwards.
- Generate the visuals — a first frame per shot, then video, in a consistent style you pick once.
- Review the whole video end to end, fix what drags, and export in the aspect ratios you need — 16:9, 9:16, or 1:1.
The reason this matters for a small business: an explainer is usually 60 to 120 seconds, which is roughly 20 to 45 shots. That is small enough to be genuinely achievable without a video team, and large enough that doing it one prompt at a time is a miserable weekend.
Start from what you already have
Most small businesses already own the raw material for an explainer and do not realise it. Any of these is a usable starting point:
- The "how it works" section of your website
- The FAQ page
- A sales email that actually converted
- A support doc that explains the confusing part
- A pitch deck's problem-and-solution slides
The advantage of starting here rather than from a blank page is that this text has already been tested on real customers. It uses the words they use.
You do not need to shape it into a script yourself. Flexible content import accepts formal scripts, articles, books, web pages or direct pasted text, and uses them as the foundation for the story.
Step 1: Choose the structure and the length
An explainer has a shape. Pick it deliberately.
| Section | Runtime share | What it does |
|---|---|---|
| Hook | 0–10s | Names the viewer's problem in their words |
| Problem | 10–25s | Makes the cost of the problem concrete |
| Solution | 25–60s | What your thing is, in one sentence, then how it works |
| Proof | 60–80s | Why it is credible — mechanism, not adjectives |
| Call to action | 80–90s | One action, stated once, clearly |
Set the target duration before generating anything. In ACT 3 AI you choose a framework — including an Explainer framework specifically, alongside Movie (3 Acts) and Short Story — and set the target duration so the AI shapes the story, scenes and shots to fit the runtime rather than trimming afterwards.
Ninety seconds is the sweet spot for most explainers. Under 45 seconds you cannot explain anything; over two minutes you lose people.
Step 2: Turn the draft into a script and a shot list
This is where AI removes actual labour rather than just adding novelty.
The draft becomes a script with beats and scenes. The script becomes a shot list, where each shot carries the information a video model needs: shot type, camera movement, lens, who or what is on screen, the set, the lighting, and the duration.
Doing this by hand for 30 shots is a full day's work and produces an inconsistent result, because you will describe the same product, room and person slightly differently in shot 4 and shot 22. Computing it from structured data does not have that failure mode.
Step 3: Generate the voiceover first
Narration should lead. Generate the spoken audio from the script with text-to-speech, then let the shot durations follow the speech.
Practical notes:
- Write for the ear. Short sentences, one idea each.
- Spell out numbers and acronyms so they read correctly.
- Pick one voice and keep it. Language and accent are set per character, so the voice stays consistent throughout.
- Read the draft aloud yourself first. Anything you stumble over, rewrite.
If a presenter appears on screen, lipsync is generated from the same audio — audio-driven mouth shapes across a 52-blend-shape rig — so you are not solving audio and picture as separate problems.
Step 4: Generate the visuals in a consistent style
Pick a style once and apply it to the whole video. ACT 3 AI ships four built-in style presets — Cinematic Realism, 3D Animated, Cartoon 2D and Anime — mapped to prompt templates, with every parameter overridable. For most business explainers, 3D Animated or Cartoon 2D reads clearer than photorealism, because abstraction lets you show a concept rather than stage a scene.
Generate a first frame per shot before generating motion. It is cheaper to fix a still than a clip, and the frame anchors the video so the model has less freedom to wander.
Step 5: Review the whole thing, then export
Watch it end to end before you fix anything. Explainer problems are almost always structural — the hook is buried, the middle repeats itself, the CTA arrives after attention is gone — and none of that is visible clip by clip.
Then export. One-click export covers the formats you need: 16:9 for YouTube and your website, vertical 9:16 for TikTok and Reels, 1:1 for Instagram posts. Make the 16:9 first and derive the rest.
Where ACT 3 AI fits
The honest summary of the market: there are many good template-based explainer tools, and if you want a stock-template video with your logo on it, use one. They are fast and they work.
ACT 3 AI is aimed at a different need — an explainer that looks like your thing, made by automating the whole pipeline rather than filling in a template.
The single value: total-pipeline automation. Not one automated step with manual work either side.
- Rough text goes in. A drag-and-drop upload zone, a freeform paste box for raw text — emails, web pages, notes — and support for articles, books and whitepapers as source material.
- The Explainer framework and target duration shape the story to your runtime automatically.
- Beat → Scene → Shot planning computes the shot list with cinematography metadata attached, so you are not inventing camera direction for 30 shots.
- First frames and prompts are generated for you — the prompt for the video and the prompt for the first frame both.
- Character sheets with the correct outfits are generated automatically if a presenter or character appears.
- Built-in TTS generates the narration from the script and embeds it in the timeline; lipsync follows automatically.
- Automated assembly stitches approved shots with transitions and audio into a finished cut, with one-click export to 16:9, 9:16 and 1:1.
- Low learning curve by design — simple controls rather than node graphs, and clear credit costs shown on the button before you commit.
For a small business the practical effect is that the skill you need is knowing your product, not knowing video. The pipeline handles the parts that normally require a video person.
If you need more than a tool — if you want the video made for you — ACT 3 AI also offers an optional "Level 2 team" package where our team takes your feedback and produces the video, for part or all of the work.
Common mistakes
- Explaining features instead of the problem. The first ten seconds must be about the viewer.
- Too long. Cut 20% after the first review. It will be better.
- Inconsistent visual style between shots, because each was prompted independently.
- Narration written after the visuals, forcing awkward re-timing.
- Three calls to action. Pick one.
- Reviewing clip by clip, so structural problems survive to publication.
FAQ
Do I need a script to make an explainer video with AI? No. A rough draft is enough. ACT 3 AI accepts pasted text, articles, web pages, books and whitepapers as the foundation and expands them into a structured script with beats, scenes and dialogue.
How long should an explainer video be? 60–120 seconds for most business explainers, with 90 seconds a reliable default. Set the target duration up front so the story is structured to fit rather than trimmed afterwards.
Can I get vertical and square versions for social? Yes. One-click export covers 16:9 for YouTube, 9:16 for TikTok and Reels, and 1:1 for Instagram posts.
Do I need to record a voiceover? No. Built-in text-to-speech generates the narration from the script per shot and embeds it in the rendered timeline. Voice language and accent are set as character settings so they stay consistent.
Can I use my brand colours and product images? You can guide the look with uploaded style images that act as a visual mood board for AI generation and keep the aesthetic consistent, and sets can be built from your own uploaded 2D images.
What does it cost? ACT 3 AI is a metered SaaS subscription — a free tier to try it, paid plans starting at $8/month, and credits consumed per generation with the exact cost shown before you commit. Commercial-use rights come with the Business tier.
Turn the draft you already wrote into a video
You do not need a script, a studio, or a video editor — you need the text you have already written and a pipeline that does the rest. Start free with ACT 3 AI, paste in your rough draft, and get a scripted, narrated, shot-listed explainer generated end to end.