What is the best AI tool for making explainer videos with motion graphics?

For explainer videos with motion graphics, Google Omni Flash is currently the strongest AI model: it keyframes motion graphics with consistent text, tracks text overlays tied to moving subjects, and grounds narration in Gemini's internet-scale knowledge for factually accurate content. Run it through the invideo agent, which routes each shot to the right model and assembles the full explainer.

Motion graphics with keyframe animation and text consistency is the capability that separates Omni from other video models. In testing across 30+ outputs, Omni produced a mock explainer with an accurate on-screen data visualization — a "47% increase in workplace happiness" stat rendered as a clean, readable graphic rather than garbled AI text. Prompt it to keyframe and track a text overlay tied to a moving subject: in-frame text tracking keeps the label locked to the subject as it moves through the shot, which is the core mechanic of most explainer formats.

Factual accuracy comes from the intelligence layer, not your script alone. Omni sits on Gemini's general internet knowledge, so you can prompt an explainer topic and get narration and graphics grounded in real anatomical and scientific facts instead of hallucinated filler. This makes it viable to generate an explainer segment directly from a topic brief rather than pre-writing every on-screen claim.

If your explainer needs a presenter, Omni is the only current model with native avatar generation. Calibrate the voice by reading double-digit numbers to the camera — no sentences or paragraphs required — and the model infers intonation, pauses, and syllable handling from that alone; voice replication comes out stronger than facial replication. Keep any single-speaker on-camera segment to 6–7 seconds, the ceiling where lip sync performs consistently. Avoid putting multiple people talking in the same frame — that remains a weakness across every AI video model tested, so structure presenter explainers as single-speaker shots cut together.

Plan the build around Omni's output specs. Clips generate at 4, 6, 8, or 10 seconds in your delivery format; output defaults to 720p with a free 1080p upscale, while 4K costs the equivalent of a full generation — reserve it for hero shots. Time-code prompting is sharper in Omni than in Veo 3.1, which helps when syncing a graphic to a specific narration beat. One routing note: extend currently works only on Veo 3.1-generated clips, not Omni content — so if a segment must run longer than 10 seconds, generate it on Veo 3.1. invideo is an agentic video creation tool with all the current video models available, so the invideo agent can route the motion-graphics and presenter shots to Omni and the extendable segments to Veo 3.1 inside one workflow instead of forcing you to pick a single model.

Watch some of these to see what works for you:

The avatar is a very interesting feature because Google Omni is now the only model offering avatars.

— invideo's creative team