
What I like best about Synthesia is how quickly I can turn an instructional concept or written script into a polished, professional video. The AI Video Assistant gives me a strong starting point. At the same time, the templates, avatars, voice options, and drag-and-drop editor make it easy to customize the presentation for a specific audience.
As an instructional designer, I especially value the ability to revise a video without rescheduling a recording session or starting over. If content changes, I can update the script, adjust a scene, and generate a new version in much less time than traditional video production would require. This is particularly useful when developing learning experiences for older adults, where clear narration, readable text, thoughtful pacing, and a welcoming presenter are essential.
An unexpected benefit has been how easily I can experiment with different approaches before committing to a final version. Synthesia allows me to test the organization, tone, visuals, and pacing of a lesson early in the design process. Overall, it helps me produce engaging learning videos more efficiently while still giving me enough creative control to make the content feel purposeful and audience-centered. Synthesia works well as the primary video-production tool within my instructional design workflow. I use Canva and Figma to create branded graphics, diagrams, interface mockups, and other supporting visuals, then bring them into Synthesia. PowerPoint presentations and written documents also provide useful starting material for the AI Video Assistant.
After producing a video, I can export it for use in learning management systems, presentations, websites, and eLearning authoring tools. I can also bring the finished video into Camtasia when I need more advanced editing, detailed audio adjustments, or visual effects not available in Synthesia.
The overall workflow is reliable, but not every connection is seamless. Some tools require manual exporting and uploading, and imported visual elements may flatten rather than remain individually editable. If an original Canva or Figma asset changes, I may need to update and replace it manually in Synthesia.
Overall, Synthesia fits well within my technology stack because it handles the presenter, narration, and scene-based production efficiently. Stronger two-way integrations and automatic asset synchronization would make the workflow even better. Review collected by and hosted on G2.com.
The main limitation of Synthesia is that the AI presenters can still feel somewhat scripted. Their gestures, facial expressions, and emotional range do not always match the meaning or tone of the narration. This becomes especially noticeable in scenario-based or emotionally sensitive learning, where a more natural human presence is important.
The automated video creation tools provide a useful starting point, but the generated scenes often require additional editing. Text may be too dense, visual choices can feel generic, and the pacing is not always appropriate for the intended audience. When designing for older adults, I frequently need greater control over narration speed, pauses, text size, and the amount of information presented in each scene.
I would also like more flexibility in customizing avatars, movements, camera angles, and visual transitions. Synthesia works well for presenter-led training, but videos can begin to look repetitive when the same layouts and avatar behaviors appear across multiple scenes.
Finally, plan restrictions and video-generation limits can make experimentation expensive. Previewing avatar movement and narration more fully before using generation time or credits would make the design process more efficient. More natural avatar behavior, stronger accessibility controls, and finer control over pacing would make Synthesia an even more valuable instructional design tool. Review collected by and hosted on G2.com.