Synthesia: AI video platform using Veo 3, Gemini Enterprise Agent Platform, Nano Banana, and TTS/Translation for localization
Synthesia integrates multiple Google Cloud AI models through Gemini Enterprise Agent Platform to generate custom visual assets, automatic infographics, video tagging, and large-scale localization. The company positions Google Cloud as a stable AI ecosystem that avoids repeated API rewrites and workflow reconfiguration while it expands AI video creation and future interactive media.
- Organization
- Synthesia
- Industry
- Tech & Comms
- Location
- United States
- Published
- July 2026
Reported outcomes
−90%
cost savings versus traditional productionCost savings
Strategic outcomes
Catalog median for cost savings deployments: −44.5% across 344 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 3
- 1Content generation
- 2Multilingual communication
- 3Content processing automation
- Video production is slow and costly, and the platform previously relied on generic stock footage that limited personalization.
- Engineering teams often need to rewrite APIs and reconfigure workflows whenever new AI models are released.
- Synthesia uses Veo 3 to create custom visual assets from prompts, Nano Banana for automatic data visualization, Gemini 3 for large-scale annotation and tagging, and Cloud Text-to-Speech plus Cloud Translation API for localization in 140+ languages.
- These models are integrated through Gemini Enterprise Agent Platform so Synthesia can keep adding new capabilities without constant provider switching.
- In seven months the Synthesia community produced 574 hours of video and more than 15,000 Veo-powered videos per week.
- The platform saves 90% in costs compared with traditional production methods and is moving toward two-way interactive media.
Architecture
Synthesia integrates Veo 3, Nano Banana, Gemini 3, Cloud Text-to-Speech, and Cloud Translation API through Gemini Enterprise Agent Platform to create custom visuals, generate charts, annotate video, and localize content at scale.
Sources & evidence1
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