Clareon vs Topaz Video AI

Overview: AI Video Upscaling in 2026

Video upscaling has become essential for content creators, archivists, and filmmakers who work with footage shot at lower resolutions. Whether you are restoring old family videos, upscaling footage from older cameras, or enhancing AI-generated clips for professional output, a capable AI upscaler can mean the difference between muddy, artifact-ridden video and clean, sharp, broadcast-quality results.

Clareon and Topaz Video AI represent two distinct approaches to this problem. Topaz has been a well-known name in the space for several years, building its reputation on proprietary AI models and a subscription-based pricing model. Clareon is a newer entrant that challenges the status quo with its custom ClareonNet neural network, integrated GFPGAN face restoration, 30 AI agents for quality control, and a dramatically lower price point: $79 one-time versus Topaz's $299 annual subscription.

This comparison breaks down every dimension that matters for users choosing between these two tools: upscaling quality, face restoration, workflow automation, performance, pricing, and overall value proposition.

Feature-by-Feature Comparison

Upscaling Quality: ClareonNet vs Topaz Models

Clareon uses a custom neural network called ClareonNet, built specifically for video enhancement. ClareonNet was trained to handle the specific artifacts and quality degradation patterns found in real-world video: compression artifacts, interlacing remnants, noise from low-light shooting, and the particular characteristics of AI-generated footage. Combined with Real-ESRGAN for raw upscaling power, Clareon delivers sharp, detailed results with excellent edge preservation.

Topaz Video AI uses proprietary models that have been refined over several years. The Proteus and Gaia models offer strong upscaling quality, and Topaz provides more granular control over parameters like sharpening strength and noise reduction levels. The results are generally very good, especially on photographic content where the models can leverage their training data effectively.

In direct comparisons, both tools produce high-quality upscales. The practical difference for most users is minimal in terms of pure visual quality. Where they diverge is in the supporting features: Clareon's GFPGAN face restoration produces notably better facial detail on close-ups, while Topaz offers additional capabilities like frame interpolation and stabilization that Clareon does not include.

For video upscaling as a primary use case, both tools deliver professional results. The deciding factors are more likely to be price, face restoration quality, and additional feature requirements rather than raw upscaling quality alone.

Face Restoration: The Clareon Advantage

Face restoration is critical for any video that features people. Standard upscaling algorithms often produce soft, unrealistic faces because they treat facial regions the same as any other part of the image. Dedicated face restoration models understand facial structure and can reconstruct realistic detail even from very low-resolution source material.

Clareon integrates GFPGAN, one of the most respected open-source face restoration models, directly into its pipeline. When face restoration is enabled, Clareon automatically detects faces in each frame, applies GFPGAN restoration, and blends the results seamlessly with the surrounding upscaled content. The results are particularly impressive on old footage, security camera recordings, and any content where faces are small or degraded.

Topaz Video AI includes basic face enhancement through its Proteus model, but it does not use a dedicated face restoration pipeline comparable to GFPGAN. For general upscaling with incidental faces, Topaz produces acceptable results. For content where facial quality is a priority, such as interview footage, vlogs, or family video archives, Clareon's dedicated face restoration delivers visibly superior results.

AI Agent Architecture

Clareon employs 30 AI agents that manage the upscaling pipeline. These agents handle task scheduling, quality assessment, temporal consistency checks, resource allocation, and error recovery. The agent architecture means Clareon can automatically adapt its processing strategy based on the input content characteristics, adjusting parameters for optimal quality without manual intervention.

Topaz Video AI relies on a more traditional processing pipeline without agent-based automation. Users manually select models and parameters, preview results, and adjust settings. This gives experienced users fine-grained control but requires more expertise and experimentation to achieve optimal results for each clip.

For users who want a more hands-off experience with automated quality optimization, Clareon's agent architecture offers a significant workflow advantage. For users who prefer granular manual control over every parameter, Topaz provides more knobs to turn.

Pricing: The Decisive Factor

The pricing comparison is stark. Clareon costs $79 one-time. Topaz Video AI costs $299 per year. In the first year alone, Topaz costs nearly 4x what Clareon costs for a lifetime license. Over three years, you would spend $897 on Topaz compared to $79 total on Clareon. That is a difference of $818 over three years.

If you stop paying Topaz, you lose access to updates and eventually functionality. If you pay for Clareon once, you own it permanently. For budget-conscious creators, studios managing software costs, or anyone who objects to annual subscriptions for desktop software, Clareon's pricing model is dramatically more attractive.

Pros and Cons

Clareon

Topaz Video AI

Who Should Choose Which?

Frequently Asked Questions