OtherVerified
Reviewed and published by trentmaziarz, May 11, 2026. Discovered and drafted by our automated research pipeline.
Topaz Labs offers Topaz Photo, an AI-powered photo editing application that takes images as input and produces sharpened, denoised, or upscaled versions using deep learning models trained on millions of images.
Details
Topaz Photo includes 11 AI-powered tools covering sharpening, denoising, upscaling, face recovery, background removal, colorization, and an autopilot mode that automatically detects and applies suggested enhancements. The software runs locally on Mac and Windows or via cloud rendering, and functions as a standalone app or as a plugin for Adobe Photoshop and Lightroom. Models are trained on millions of images to identify and correct specific quality issues such as noise, blur, and low resolution.
Products affected
Topaz Photo
Sources & Evidence
Company Disclosure
Cite this record
Trace Foundation. (2026). Topaz Labs: Topaz Labs offers Topaz Photo, an AI-powered photo editing application that takes images as input and produces sharpened, denoised, or upscaled versions using deep learning models trained on millions of images (data as of 2026-05-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/927dbbc9-6e83-4d77-8d3f-08523fa92fa7. Accessed October 4, 2026.
- Stable link
- https://www.aitrace.org/r/practice/927dbbc9-6e83-4d77-8d3f-08523fa92fa7
- Data as of
- May 11, 2026
- Last verified
- May 11, 2026
Other practices by Topaz Labs
OtherTopaz Labs deployed Project Starlight in February 2025, a diffusion-model-based video enhancement tool that upscales and restores degraded video to HD quality with frame-to-frame motion consistency.OtherTopaz Labs offers Topaz Gigapixel, an AI-powered image upscaling application that takes low-resolution images as input and produces enlarged images with AI-generated detail, available since 2019.OtherTopaz Labs offers Gigapixel iOS, a mobile app for iPhone that uses AI to enhance, upscale, sharpen, and recover faces in photos, running AI models locally on the device.
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