Synthesia

Synthesia is frequently filed under AI video and does not really belong there. It is a corporate communications tool that happens to render a human, and evaluating it against generative video models produces the wrong conclusions in both directions.

The problem it actually solves

An organisation needs a compliance module in eleven languages. It needs updating every quarter when the policy changes. Filming it means a studio, a presenter, a schedule, and a reshoot every quarter in eleven languages.

Synthesia turns that into editing a script. Change the paragraph, regenerate, publish. The languages come from the same script. The presenter is always available and always has the same haircut.

Judged against a film shoot, the economics are not close, and the quality bar is not “does this look real” but “is this clearer than the slide deck it replaced”. By that standard it succeeds comfortably.

Where it is strong

Multilingual output is the strongest single feature. Generating the same module in dozens of languages with lip-sync that matches is genuinely difficult and Synthesia does it well. For any organisation with a distributed workforce, this alone drives adoption.

Update workflow follows from the same architecture: because the video is generated from a script, revising it is revising text. Corporate video usually dies of staleness rather than of quality, and this fixes the actual failure mode.

Custom avatars — a real presenter, filmed once, reusable indefinitely — solve the authenticity problem for internal communications where employees want to see someone they recognise.

Templates, brand kits and screen-recording integration make it a complete tool for the job rather than a component.

The limits

The avatars remain identifiably synthetic. Delivery is even, gestures are limited, and emotional range is narrow. For training and internal communications this is acceptable and occasionally an advantage. For anything meant to persuade or move an audience, it is not, and no amount of polish in the current generation closes that gap.

The format is fixed: a presenter delivering to camera, with supporting graphics. There is no scene generation, no B-roll, no cinematography. If your video needs to show something rather than have someone describe it, Synthesia is the wrong tool and you will end up compositing anyway.

Per-minute and per-seat limits shape usage more than users expect, and the pricing rewards planning your video library rather than experimenting.

The ethical surface deserves attention: consent for custom avatars needs to be explicit and documented, and the terms around likeness use should be read by someone whose job that is.

Pricing

Free trial, then per-seat paid plans with an enterprise tier that unlocks custom avatars and higher volumes. Video minutes are metered.

For a learning-and-development function producing regular content, the arithmetic against production costs is overwhelming. For occasional use it is expensive relative to the alternative of simply writing the document.

Who should choose it

Learning and development teams, internal communications, product marketing producing explainer content at volume, and any organisation with a multilingual training requirement.

Teams making creative, cinematic or narrative video need Runway or Sora. Teams that only need a voice, not a face, will spend far less with ElevenLabs over slides.

See best AI video tools for how the category divides.