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Adobe completes Topaz Labs acquisition

Written by Andy Stout | Sep 23, 2026, 3:00:00 PM

Adobe has completed its acquisition of Topaz Labs. CEO Eric Yang joins Adobe's Digital Video and Audio team, with the company's Neurostream tech promising up to a 95% cut in AI VRAM demands.

Adobe has completed its acquisition of Topaz Labs, an AI company specializing in video and image enhancement models, first announced 25 June 2026. As previously covered, Topaz Labs will continue as a standalone brand, and all its apps and models will continue to be available as standalone products. Topaz Labs' CEO Eric Yang will join Adobe's Digital Video and Audio team.

Topaz Labs' product line includes Topaz Photo, Topaz Video, Topaz Gigapixel, Astra, and Bloom, and the company says its tools are used by 20 of the world's 50 largest companies and, by its own claim, "millions of customers." Standalone pricing starts at $12 a month, scaling to $34 a month for unlimited access to all Topaz Labs tools. Its AI technology received a Technology & Engineering Emmy Award in December 2025 for high-quality television catalog restoration.

Topaz Labs' technology is already available in Adobe Firefly and Photoshop; Adobe first added Topaz's image and video upscalers to Firefly AI in July 2025. At the time, Zeke Koch, Adobe's VP of Product Management, GenAI (Firefly), said: "Topaz Labs is really interesting...they make what we think is the best upsampling."

"Restoring archival footage, refining low-light shots, enhancing mobile clips, preparing content for the big screen and bringing AI-generated videos to professional quality through creative upscaling will soon be possible within even more existing workflows," says a company statement.

Topaz Labs' proprietary Neurostream technology is one of the key elements of the acquisition. Topaz says this lets users process complex AI models on their own devices or via Topaz Labs' cloud-based option, reducing the VRAM memory demands of large AI models by up to 95%.

What's more, Adobe says it will optimize the performance of Topaz Labs models, which could lead to even more gains. That will be worthwhile, as one of the core pitches for the technology is aimed at broadcasters and studios that need to uprez content at scale.