One item that stood out involves offering better management of these AI models. Topaz Video AI was trained exclusively on video clips instead of still images.As we've grown both the number of AI models and the versions of each model in Video Enhance AI, we've listened closely to the helpful feedback our users have provided. We mitigate these by deriving new information from multiple frames. Traditional upscaling often causes artifacts. Inject real details into your videos, derived from the additional information in multiple adjacent frames. TVAI significantly reduces these artifacts. Other video upscaling techniques often create a “shimmering” or “flickering” effect from different processing in adjacent frames. (Many of them already use Topaz Video AI to benchmark AI inference.) Own the software and use it for as many projects as you like, right in your existing workflow. Topaz Video AI will also take full advantage of your modern workstation, as we partner directly with hardware manufacturers to optimize processing times. We’ve taken five years to craft AI models robust enough for natural results on real-world footage. Topaz Video AI focuses solely on completing a few video enhancement tasks really well: deinterlacing, upscaling, and motion interpolation. ![]() Production-grade AI models for professional use cases
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