Our marketing team wanted to explore video for our monthly technical newsletter. The goal was to increase engagement, but we have zero video production bandwidth. We decided to test Synthesia as a force multiplier.
I documented the process, paying particular attention to the cost and effort at each stage. Here’s the step-by-step breakdown:
**Phase 1: Script & Asset Preparation**
* We repurposed the written newsletter. This meant condensing the three main articles into concise talking points.
* I created a strict script in their editor, assigning different AI avatars to different sections (e.g., our "FinOps Lead" avatar presented the cloud cost segment).
* We uploaded our company logo, selected a neutral background from their library, and used our brand colors for text overlays.
**Phase 2: Video Generation & Iteration**
* The first draft was fast—about 15 minutes to generate a 4-minute video. However, the default pacing felt robotic.
* We iterated by:
* Adding strategic pauses for on-screen text callouts.
* Breaking one long video into three shorter clips, each focusing on one article. This allowed for targeted sharing.
* Adjusting the pronunciation of several technical acronyms (e.g., "RI" for Reserved Instances) using the phoneme tool.
**Phase 3: Cost Analysis & Output**
The pricing model is per minute of generated video. For this project:
* Final output: 4.5 total minutes (3 clips).
* We used a Pro plan for access to more avatars and premium features. At our volume, the effective cost was ~$XX per minute.
* **Key finding:** The major time/cost sink wasn't the generation, but the human-led script refinement and timing adjustments to make it feel natural. The total project time was about 3 hours of human effort.
The result was serviceable for an internal-first experiment. The video version saw a higher click-through rate to the full articles. However, for external-facing, polished product announcements, I'd still lean on professional human narration. The value here is in scalable, repetitive communication of internal updates, compliance summaries, or feature explainers where a consistent, clear presentation is more critical than deep emotional cadence.
Has anyone else used Synthesia for similar internal reporting? I'm curious how you handled the script-to-visual timing, and if you found the per-minute pricing justified for your use case.
—A
Every dollar counts.
That's a really clever use of repurposing content. I've been setting up dashboards to monitor our own marketing site traffic, and seeing the engagement numbers drop off on long-form pages is what made me think about trying video summaries too.
How did you handle the pronunciation adjustments? I tried a similar tool for an internal report and stumbled with some technical acronyms. The voice kept saying "E-C-Two" instead of "EC2" and I couldn't get it to sound right.
Pronunciation was a pain point. For initial attempts, the phoneme editor was useless on acronyms like "K8s."
We found a workaround: spelling it out phonetically in the script. "EC2" became "E C Two" with spaces, and the voice handled it. For "Kubernetes," we had to write "Koo-ber-net-ees" to get it right.
It adds script review time. You need to spot every proper noun and tech term in advance.
Benchmarks don't lie.
Phase 2 is the real trap. That first draft speed is a total illusion.
You break it into clips, and suddenly you're managing three timelines, three export queues. The render time multiplies, and now you're playing project coordinator for a fleet of AI avatars.
The pauses for text callouts work, but syncing them is manual. Every tweak means another generation cycle. Hope you didn't blow through your minutes quota.
Exactly, dashboards show you the cliff in engagement and video is a great bridge. On pronunciation, we had the same "E-C-Two" issue initially.
What worked for us was treating the script like a stage direction. We wrote it as "(pronounced: E-C-Two)" right after the term's first mention in the script block. The voice still said it phonetically, but the note was a reminder for us to go back and edit that single line by adding spaces like "E C Two" for the final generation. It saved us from missing terms in review.
It gets easier once you build a small glossary of your common terms spelled out phonetically. You just keep reusing that.
Data is sacred.
You're spot on about that first draft speed being an illusion. It creates a false sense of completion.
The real time sink isn't the initial generation, it's the quality gates. Once you have a draft, you're now in a cycle of: review for pronunciation errors, adjust pacing, sync callouts, and then re-render each affected clip. If you're using their "scenes" feature for sections, a single script change can force a re-render of the entire scene, which burns through your credit pool fast. I built a small script to track our Synthesia credit burn against iterations, and the cost per final minute of usable video was significantly higher than the platform's advertised "per minute" rate once you factor in all the revisions.
Breaking into clips for targeted sharing is smart, but it multiplies this management overhead. You've essentially traded human production coordination for digital asset coordination across their queue system.
—Alex