By RamthaMedia
RamthaMedia Free eBooks · August 2026
Price: Priceless
· 7 min read
Preface
Every training update, product demo and onboarding module eventually needs a presenter who doesn't have three days for a film shoot. This book follows that script through Synthesia's actual production path – from a pasted paragraph to a dubbed, on-brand video in well over a hundred languages – naming the avatar options, the pronunciation and glossary fixes buried in its own FAQ, and the exact plan tier where translation and voice cloning start to cost more.
Chapter 1
A Script Waiting for a Body
It's Wednesday, and the compliance script needs to be a video by Friday – narrated, on-screen, in six languages, because half the warehouse floor doesn't read English as a first language. There's no studio booked, no presenter available, and no three-week runway to hire one. This is the exact gap Synthesia is built to sit in: the script exists, the person who would normally read it out loud does not.
What replaces that person is an AI avatar reading the same words, on camera, in as many languages as the job needs – without a second filming day for each one. That single substitution is what the rest of this book is actually about: not a feature tour, but the real sequence a script goes through on its way to becoming something a warehouse worker, a new hire, or a customer actually watches.
The honest starting point is that nothing here removes the need for a good script. What it removes is everything that used to happen after the script was finished – the camera, the crew, the studio booking, the second recording session for the French version. Everything from here on describes exactly what fills that gap, and just as importantly, where it still doesn't.
What you can actually do here
Synthesia's own pages describe the same handful of tools in a dozen languages. Stripped of the repetition, here is what a script can actually become once it's inside the platform.
Getting from text to a first video
| Use | Who it fits | Where | Worth knowing |
|---|---|---|---|
| Turn a pasted script, PDF, PowerPoint or URL into a draft video | L&D and marketing teams starting from existing written material | Text-to-video tool -> paste script, upload file or URL -> AI drafts a multi-scene video | Works from four different starting formats Draft still needs a pass to fix pacing and scene breaks |
| Generate cinematic B-roll from a text prompt instead of stock footage | Anyone tired of generic stock clips in a training video | AI Playground -> type a prompt -> insert the generated clip into a scene | Runs on current-generation video models Which models are available shifts as providers update them |
| Generate a video starting from a ChatGPT-style prompt | Anyone who thinks in prompts before they think in scripts | ChatGPT-enabled video assistant -> refine the prompt for length, tone, audience -> generate | Still produces a script that needs the same editing pass as any other draft |
Choosing who says it
| Use | Who it fits | Where | Worth knowing |
|---|---|---|---|
| Present with a ready-made avatar, no filming or consent process needed | Anyone who needs a video today, not after a shoot is scheduled | Avatar library -> pick from the stock set -> apply to a scene | No filming, consent step or setup required |
| Turn yourself into an avatar from one photo, with your voice cloned automatically | A recurring on-screen presenter who doesn't want to sit in front of a camera every time | Upload a photo or short video -> record a consent statement -> avatar generates | One photo is enough; a short video captures more natural movement Consent recording is mandatory and can't be skipped |
| Book a studio session for a hyper-realistic, enterprise-grade avatar | A brand that needs one presenter across a very large volume of video | Studio Avatars -> work with Synthesia's own team on a dedicated shoot | Not self-serve – it's a scheduled production, not a same-day upload |
| Deploy an avatar that listens and answers back in real time | Product and support teams building a live, conversational front end | Interactive Avatars -> connect your own LLM or agent -> Synthesia handles the avatar layer | Requires bringing and wiring up your own LLM – this isn't a drop-in feature |
Reaching an audience in another language
| Use | Who it fits | Where | Worth knowing |
|---|---|---|---|
| Dub an existing video into another language while keeping the original speaker's voice | Teams localizing training or marketing video that was already filmed | Video Translator -> upload the video -> choose target language -> review the dub | Detects and clones multiple speakers automatically Perfect lip-sync depends on how fast the original cuts are |
| Publish one link that shows each viewer the language version meant for them | Global teams tired of maintaining a separate link per language | Publish -> smart link -> viewer's version switches automatically, with a manual override | One link replaces a folder of language-specific files |
| Generate subtitles automatically in the dubbed language | Anyone required to caption training content for accessibility | Translation settings -> enable subtitle generation -> subtitles match the dubbed audio | Subtitles follow the dub, not the original script – they can drift if you edit one and not the other |
Keeping it consistent
| Use | Who it fits | Where | Worth knowing |
|---|---|---|---|
| Apply a saved Brand Kit – logo, colors, fonts, a branded PowerPoint template – to every new video | Any team producing video under one company's name, at volume | Brand Kit setup -> import assets once -> apply with one click on future videos | Set up once, reused on every video after Someone still has to build the kit correctly the first time |
Chapter 2
From a Pasted Paragraph to a Draft Video
The starting material almost never has to be a script written for video. A PDF policy document, a PowerPoint deck, a plain URL, or a rough one-line prompt can all become the input; the platform reads whichever one is handed to it and produces a structured, multi-scene draft rather than a blank editor.
That draft is deliberately rough. Scenes are split roughly where the source material breaks naturally – a new slide, a new paragraph, a new heading – and an avatar is assigned by default so there is something to look at immediately rather than a wall of text waiting for decisions. The editing that follows looks more like arranging slides than editing video: reorder scenes, trim a line, swap which avatar reads which section.
A ChatGPT-style prompt works the same way from a different starting point – describe the video instead of writing it out in full, and refine the request by naming a length, a tone and an audience before generating. Either route ends at the same place: a first draft that still needs a human pass, not a finished video.
The one thing worth knowing before that first draft is generated: none of this locks in a visual style forever. The scenes, the avatar and the background can all be swapped after the fact, which matters more than it sounds – the platform is built around iterating on a draft, not committing to a first attempt.
Chapter 3
Choosing Who Says It
Four different answers exist to the question of who appears on screen, and they suit different situations rather than different budgets.
The fastest is a stock avatar – pick one from the library and start; no filming, no recorded consent, no waiting. This is the right choice for a video that needs to exist today and doesn't need a recognizable, recurring face.
The second is a personal avatar, built from a single photo or a short recorded video of yourself. This is the option for someone who appears on camera often – a trainer, an executive doing regular updates – and wants every video to look and sound like the same person without sitting for a new recording each time. Recording a short consent statement is a required step here, not optional, and it exists specifically so the avatar can't be built or used without that person's own agreement.
The third, a studio-built avatar, is a scheduled production rather than a same-day upload – working directly with Synthesia's own team to capture someone's likeness under proper studio conditions. It suits a company that wants one consistent, highly realistic presenter across a genuinely large volume of video, and it is the one option here that isn't self-serve.
The fourth sits apart from the other three: an interactive avatar that listens and responds live, wired to a company's own LLM or agent rather than reading a fixed script. That's a product decision for a support or sales team building a live interface, not a shortcut for someone who just needs Friday's training video finished.
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Chapter 4
Replacing the Location Shoot With a Prompt
Stock footage has always been the compromise in a corporate video – generic enough to license, never quite matching what the script is actually describing. The AI Playground exists to remove that compromise: type what the scene should show, and a short clip is generated to match, dropped straight into the video in place of a stock clip search.
This is one part of the platform genuinely worth checking again every few months rather than treating as fixed. It runs on current-generation video models, and which models are plugged in changes as the underlying providers release new ones – a scene that looked slightly artificial six months ago may render convincingly today, and a capability that doesn't exist yet may exist by the next quarterly review.
The practical effect for someone producing training or marketing video is that b-roll no longer has to be searched for; it can be described. A safety video that needs to show a specific hazard scenario, or a product launch that needs a scene no stock library has ever filmed, becomes a prompt instead of a search query.
Chapter 5
One Video, More Than a Hundred Languages
The translation tool starts from an existing video, not a script – upload the file, choose the target languages, and a dubbed version comes back with the original speaker's own tone, pacing and voice carried across into the new language rather than replaced with a generic narrator.
Lip-sync is handled the same way across every version, matched to whichever speaker is on screen at each moment, including through fast cuts and transitions. Review happens before anything is published: play back each translated version, correct a misheard technical term or company name, adjust tone for a local market, and re-run the whole translation in one click after fixing the source transcript – rather than starting the dub over from scratch.
Subtitles can be generated to match the dubbed audio in the same pass, which matters for accessibility requirements more than it does for the video itself.
The one design choice worth understanding before relying on this for something high-stakes: dubbing and subtitling aren't the same decision, and the platform's own research point is that subtitles ask more of a viewer's attention than a dubbed voice does – useful to know before defaulting to subtitles purely because they seem cheaper to produce.
Chapter 6
Keeping Every Video On-Brand
A single video looking right is easy. A hundred videos, made by different people across different teams, all looking like they came from the same company is the actual problem a Brand Kit solves.
The setup is a one-time cost: import a logo, brand colors and fonts – directly from a company website, if that's easier than assembling the assets by hand – or upload an already-branded PowerPoint deck and use it as a ready-made video template. After that, applying the kit to any new video is a single click rather than a manual styling pass.
What this actually buys a team isn't visual polish so much as consistency across people who will never talk to each other about how a video should look – the new hire in marketing and the trainer in operations both producing something that looks like it came from the same source, without either of them making a single design decision.
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Chapter 7
Where the Free Tools Stop
Several of the things described so far are available as free, no-account tools – the script generator and the video translator both work without signing up, capped at shorter outputs and a watermark. That's a genuine way to test the dubbing quality on one clip before deciding anything.
Past that point, three specific capabilities are gated to the top plan rather than scaled gradually: one-click translation of an entire video into multiple languages at once, uploading your own voice recording for the avatar to lip-sync against, and voice cloning offered as its own standalone feature. A team on a lower plan doesn't get a smaller version of these – it doesn't get them at all, as separate features.
There's one exception worth knowing before assuming voice cloning is out of reach: building a personal avatar on the entry-level plans automatically clones the voice that comes with it, as part of that process. The gate isn't on cloning a voice at all – it's specifically on cloning a voice as its own tool, detached from an avatar.
None of this changes what a script becomes into once it's produced; it changes who's allowed to produce it that way, and it's the one thing worth checking on the current plan page before promising a translated rollout to six languages by a deadline.
Chapter 8
Deciding Whether This Replaces Your Production Budget
The honest answer depends on what the video was competing against before. Against a full film crew, a studio booking and a professional voice actor, this replaces nearly all of it, and the translation step alone removes a cost that used to mean re-hiring for every language. Against a founder or executive who is genuinely good on camera and enjoys being there, an avatar is a downgrade in warmth, not an upgrade in production value.
Where it earns its place most clearly is volume and languages – the training library that needs updating every quarter, the product video that needs to exist in nine markets by the same launch date, the compliance module that has to be re-recorded every time a policy number changes. Where it earns its place least is the one video where a real, familiar, unscripted human face was always the point.
The script that started this book still has to be a good script. Everything described here changes what happens to it after it's written – not whether it was worth writing in the first place.
Questions readers actually ask
How do the voices actually work – is it just text-to-speech?
Text-to-speech is the base of it, but the platform pairs that voice with an avatar's face so the words are seen being spoken, not just heard, and the same generated voice can be attached to a cloned or stock voice depending on the avatar.
Do all the languages sound the same, or just translated?
The library covers a wide range of accents, dialects and speaking styles per language, so a regional variant can be chosen rather than a single generic version of, say, Portuguese or Spanish.
Does the platform translate the script itself, or only the voice?
One-click translation covers both the spoken script and the on-screen text elements at once – though this specific one-click version is gated to the top plan, as covered earlier.
Can I upload my own voice recording instead of using a generated one?
On the Enterprise plan, yes – a voice recording can be uploaded and the avatar will lip-sync to it directly, rather than generating speech from text.
Is my language actually supported, or just listed?
With well over a hundred languages already live, most requests are already covered; a language genuinely missing today is the kind of gap the platform has been closing steadily rather than a permanent limitation.
What actually is an AI avatar, technically?
It's a digital human generated from real footage of a consenting person, capable of reading any script on screen afterward without that person needing to be filmed again for each new video.
Can subtitles be added on top of a dubbed video?
Yes – subtitle generation is offered alongside dubbing and produces captions matched to whichever language the audio was dubbed into.
Contact / More useful information from RamthaMedia
Official source links:
Synthesia
Disclaimer: This eBook is compiled from publicly available information and was accurate at the time of writing. For full and up-to-date details, please visit the official website linked above. RamthaMedia accepts no legal liability for any decision made on the basis of this eBook, and nothing here is professional, financial or legal advice. The image used for the cover page is illustrative only – a stock photo from Pexels or an AI-generated image, never a real photograph of the site described.
