
Synthesia is an AI video platform built around one core loop: you write a script, pick a presenter, and the tool produces a finished video with a speaking avatar. Everything else in the product — the scene editor, the template library, the voice catalog, the translation features — exists to make that loop faster and more consistent.
That focus is a strength, but only if you point it at the right job. Synthesia shines when the message matters more than the cinematography:
Where it struggles is equally predictable. If you need cinematic camera movement, physical acting, improvised dialogue, or a fast-cut social edit driven by music and motion graphics, an avatar-led tool will feel stiff. A talking head is not a substitute for a director. The fastest way to be disappointed with Synthesia is to ask it for a short film; the fastest way to be delighted is to ask it for a clear explanation.
Before you open the app, answer one question honestly: is this video fundamentally about a person explaining something? If yes, continue. If no, you probably want a different kind of tool.
The most common beginner mistake is opening the editor first. The script determines about eighty percent of the final quality, and rewriting inside a scene-based editor is far more painful than rewriting in a plain document.
Write down one sentence: "After watching this, the viewer will be able to ___." If you cannot finish that sentence, the video will ramble. A training video, a demo, and a sales pitch have completely different rhythms, and mixing them produces something that satisfies nobody.
Spoken language is shorter and looser than written language. Read your draft out loud. Any sentence you stumble over will also trip the voice engine, and any sentence that runs past about twenty words will lose listeners who are watching passively.
Practical editing rules that consistently help:
A talking-head explainer holds attention for roughly two to five minutes when the viewer has a reason to watch. Training modules can run longer because the audience is captive, but they need visible structure to stay tolerable. Decide the target length and treat it as a budget: if your script is 900 words and you wanted a three-minute video, you are over budget by roughly half.
You do not need a shot list. You need a beat sheet: a short list of what changes on screen at each moment. A four-beat structure covers most business videos.
Each beat becomes one or more scenes. Thinking in beats also makes it easy to cut: if a beat does not change what the viewer knows or does, delete it before you build anything.
When you create a new video, you will be asked to make a few structural choices. Getting them right at the start saves painful rework later.
Aspect ratio is a distribution decision, not a design preference:
| Destination | Canvas | Why |
| --- | --- |
| Website hero, YouTube, LMS | 16:9 landscape | Standard player dimensions, room for slides beside the presenter |
| LinkedIn, Instagram feed | 1:1 square | Survives cropping in feed previews |
| Shorts, Reels, TikTok | 9:16 vertical | Full-screen mobile viewing, big captions |
If one video must serve several destinations, build the landscape version first and plan a vertical cutdown for the two or three strongest moments rather than trying to make one file do everything.
Templates are the fastest legitimate shortcut in the tool. Pick one whose pacing matches your content — a training template for training, a product template for demos — then delete anything you do not need. Beginners often leave placeholder scenes in place and end up with a video that feels like someone else's.
Upload your logo, define your primary and secondary colors, and pick a font before you build scenes. A shared brand setup keeps every scene consistent and turns future videos into a fifteen-minute job instead of a two-hour one. If your team uses a shared workspace, agree on the naming convention for these assets early; "logo-final-v3" ages badly.
Inside the editor, your script is split into scenes. Each scene has a script block and a visual layout. This is where most of your time will go.
A scene that runs longer than roughly twenty to thirty seconds starts to feel static, even with an animated presenter. Break long explanations at natural pauses — usually where you would take a breath or where a new sub-point begins. Short scenes also give you more places to insert a visual change without disrupting the narration.
Most projects use three layouts repeatedly:
Alternating between these keeps the video visually alive without adding production work.
Every voice engine mispronounces something: an acronym, a product name, a surname, a number. Use the pronunciation or phoneme controls on the first occurrence of any unusual word, then re-listen. Catching this after you have polished twenty scenes means re-polishing twenty scenes.
A short pause before a key line does more for comprehension than any visual effect. If the tool gives you pause or timing controls, use them at transitions and before the call to action. If it does not, insert a short standalone sentence like "Here's the part that matters" — the rhythm does the same job.
Stock presenters are instant, professionally lit, and available in a wide range of ages, appearances, and presentation styles. They are the right choice for internal content and most product videos.
A custom avatar, created from footage of a real person, makes sense when the identity is the message: an executive address, a founder-led sales pitch, a named instructor in a certification course. Be honest about the trade-off — a custom avatar still looks synthetic on close inspection, and viewers tend to judge it more harshly because they know the real person.
One practical rule: choose a presenter whose energy matches your content. A high-energy presenter reading compliance policy feels wrong; a calm presenter selling a startup launch feels flat.
Accent and delivery carry more meaning than most people expect. A regional accent can build trust with a local audience and create distance with a global one. If your audience is mixed, a neutral delivery is usually the safer default.
When you need multiple languages, translate the script and then review the translation with a native speaker. Machine translation handles structure well and nuance poorly — idioms, product names, and humor are common failure points. Then re-record the voice track in each language rather than relying on a single performance with subtitles, if your audience expects native delivery.
Some of your best videos may not need a presenter. If the content is a software walkthrough, a voice-over with screen recording is often clearer and cheaper to maintain. Save the avatar for moments where a human presence genuinely helps — introductions, explanations with tone, and persuasion.
This is where a competent AI video becomes a good one. The avatar is the narrator; the visuals are the actual content.
Stock footage, icons, and images exist to give the viewer something new to look at every fifteen to thirty seconds. You do not need many assets — you need a change of visual state at the right moments. A single screenshot inserted at the right beat outperforms five decorative clips.
If you are adding text, keep it to one idea per slide and roughly six words per line. Anything more becomes a teleprompter for the viewer instead of a support for the narration. The narration should say what the slide cannot show; the slide should show what the narration cannot say.
For software demonstrations, capture at a resolution higher than your output so you can crop and zoom without blur. Trim dead time out of the recording before importing — the editor is not the place to cut a forty-second wait for a page to load.
A simple pattern prevents both monotony and chaos: alternate between presenter-led scenes and content-led scenes, and change the layout whenever the topic changes. Consistency in fonts, colors, and corner logos does more for perceived quality than any single effect.
Once the scenes exist, the work shifts from writing to refining.
This is the single most useful review pass. You will notice pacing problems, repeated phrases, and moments where you looked away — all things that a scene-by-scene review hides.
If your video has a weak opening, most viewers never reach the useful part. Cut the greeting. Cut the agenda slide. Start with the problem the viewer already has.
Captions serve three audiences at once: people watching without sound, people watching in a second language, and people skimming. They also make your video searchable and indexable. Check line length and reading speed rather than accepting the automatic output — auto-generated captions routinely mangle product names and acronyms.
Music covers small audio imperfections and smooths scene transitions, but the voice must stay dominant. If you have to raise the volume to hear the narration, the music is too loud.
Before exporting, run a checklist in this order:
If someone else will approve the video, share a review link rather than sending a file. Comments attached to a timestamp are far more actionable than a paragraph of vague feedback.
For most business content, 1080p is sufficient. Reserve higher resolutions for large displays, trade show screens, or content that will be zoomed. If your audience is on an internal learning platform, check whether a packaged format is supported for tracking completion — this is often a requirement discovered painfully late.
Decide where the video lives, what its title is, and how it will be found. A training video buried in a shared drive might as well not exist. Add it to the relevant course, page, or campaign on the day it ships, and write a one-line summary that tells viewers what they will get.
To make the workflow concrete, here is how the steps combine for a common request: a ninety-second explainer for a new feature, destined for the website and LinkedIn.
| Stage | What you actually do | Time |
|---|---|---|
| Script | Write 200–230 words, read aloud, cut to one idea per sentence | 45 min |
| Beat sheet | Four beats: problem, what changed, how it works, next step | 10 min |
| Project setup | 16:9 landscape, brand kit applied, closest template selected | 10 min |
| Scenes | Six to eight scenes, alternating presenter and content layouts | 30 min |
| Visuals | Three screenshots, one chart, one closing slide with logo | 30 min |
| Voice | Pick a neutral presenter voice, fix two product-name pronunciations | 10 min |
| Polish | Captions, music bed, pause before the call to action | 20 min |
| Review | Accuracy pass, then a full-speed watch | 20 min |
| Export | 1080p, plus a 1:1 cutdown for social | 15 min |
Roughly three hours for a finished, publishable video — and, importantly, a project that can be duplicated and updated in twenty minutes when the feature changes. That reuse value is the real reason to invest in structure on the first attempt.
Writing like a document. Formal prose read aloud sounds robotic, no matter how good the voice. Rewrite anything you would not say to a colleague.
Making the video too long. Most first drafts are twice the right length. Cut the script by a third before you build, not after.
Ignoring the first sentence. "Hi everyone, thanks for joining" is not a hook. Start with the viewer's problem.
Skipping pronunciation checks. A mispronounced product name undermines an otherwise excellent video.
Overloading slides. Text-heavy slides compete with the narration and lose.
Forgetting captions. A large share of viewers watch muted, especially on social platforms.
Treating the avatar as the content. The presenter is packaging. If the visuals do not carry information, viewers disengage within a minute.
Building every video from scratch. Templates, saved brand assets, and a reusable scene structure turn each new video into an edit rather than a production.
Once the workflow feels routine, the leverage comes from reuse. Build a small library of templates for your recurring video types: onboarding, feature launch, quarterly update, customer story. Keep a bank of approved screenshots and diagrams so you are not re-capturing them each time. When a policy or product changes, update the affected scene in the existing project rather than starting over — this is where an avatar-led workflow beats a filmed one by a wide margin.
If several people will make videos, agree on standards before volume ramps up: naming conventions, brand assets, caption style, and a single review checklist. Unstructured growth produces dozens of videos that look like they came from dozens of companies.
Do I need video editing experience? No. The editor works like a slide tool with a narrator attached. The skills that matter are scriptwriting and pacing, not editing software.
How long should my first video be? Aim for sixty to ninety seconds. A short finished video teaches you more than a long unfinished one.
Can I use my own voice instead of an AI voice? Many tools allow a recorded voice-over, and some support a cloned voice from your own recordings. Check consent requirements before cloning anyone's voice, including your own in a corporate context.
Should I use a custom avatar? Only if recognition drives the message. Otherwise, a well-chosen stock presenter is faster, cheaper, and less likely to trigger the uncanny-valley reaction.
How do I keep a video updated when the product changes? Keep the script in a separate document as the source of truth, edit the affected scenes, and re-export. Do not rebuild from zero.
What about accessibility? Captions, sufficient contrast, large on-screen text, and a narration track that makes sense without visuals cover the essentials. Test with the sound off.
Is an avatar video credible enough for customers? For explanations and demos, yes — audiences judge clarity far more harshly than they judge synthetic presenters. For brand storytelling where emotion is the point, filmed footage still wins.
The through-line in all of this is simple: treat the tool as a production system, not a magic button. Plan the script, structure the scenes, choose the presenter last, and finish with a review pass that catches what a scene-by-scene edit hides. Do that a few times and the workflow stops being a project and becomes a habit.

Alexander
Vidu Q4 alternatives compared: Kling 4.0, Seedance 2.5, Wan 3.0, and Runway Gen-4 — 4K support, input modes, durations, audio, and what each costs in credits on Domer.
The top 4K AI image generators on Domer compared: Flux 3 Klein, Nano Banana 2.1, GPT Image 2.5, GPT Image 2, and Nano Banana Pro — 4K credit costs, reference limits, and speed.
Nano Banana 2.1 vs GPT Image 2.5 Flare compared: credit costs per resolution, aspect ratios, reference images, text rendering, and which tasks fit each model.