Would you like a cheat sheet PDF of these settings, or a deeper dive into a specific model like “Low Light v2” vs “Severe Noise”?
For highly compressed social media photos, use the Strong model to remove blocky artifacts.
| Setting | Value | Purpose | |--------|-------|---------| | | Auto | Works for 90% of images. | | Overall NR | 20–40 | Lower = retain grain for aesthetic. | | Sharpen | 30–50 | Don’t overdo – do sharpening later in workflow. | | Recover Detail | 40–70 | Essential – stops plastic look. | | Color NR | 60–80 | Separate from luminance NR. | topaz settings for edits
Do not use Face Recovery on non-face subjects (statues, paintings, animals) – it invents fake features.
Topaz Photo AI combines Gigapixel, Denoise, and Sharpen into a single interface. The key to a good edit is the configuration and the Model Selection . Would you like a cheat sheet PDF of
In , the "Autopilot" feature is a great starting point, but manual refinement is usually necessary for professional results.
For video editors, especially those creating high-quality "edits" for social media or cinematic projects, is the industry standard for upscaling and sharpening. | | Overall NR | 20–40 | Lower
Specifically designed for extreme slow-motion (e.g., 4x or 8x slow-down) without creating "warping" artifacts.
| Mistake | Why it hurts | |---------|---------------| | Setting NR above 65 | Turns skin/leaves into plastic. | | Sharpening before NR | Amplifies noise into false texture. | | Using Face Recovery on group shots | Creates mismatched AI faces on background people. | | Maxing out all sliders | Overprocessing that looks artificial. | | Upscaling 4x then applying NR | Wastes time – do NR first at original resolution. |
DeNoise AI gives more manual control than Photo AI’s NR.