Description
Topaz Photo AI Overview
Image processing software developer Topaz Labs has introduced a new photo editor, Topaz Photo AI, which combines three tools that previously worked as separate applications – Denoise AI digital noise reduction tool, Sharpen AI sharpening tool and Gigapixel AI scaling tool.
As you can easily guess from the abbreviation AI, the program operates on the basis of artificial intelligence. An important fact is that the program can act as a plug-in for Adobe Lightroom Classic, Adobe Photoshop and Capture One, and here all the tools are available to the user, including the same “Autopilot”.
Topaz Photo AI Features
Autopilot will not only show any problems it detects, but will also automatically apply the most appropriate fixes for maximum detail and clarity.
The functionality of the program allows you to correct excessive noise or inaccurate focus in photographs both automatically and manually.
According to the authors, it is now easy to simply upload images to Topaz Photo AI. You can be sure that the output files will be edited using artificial intelligence. This will allow us to get into the creative editing process faster, which is what we’re aiming for.
Note
- Install Topaz Photo AI
- Place the topaz.photo.ai.3.3.3-patch.exe file in the folder with the installed program and click Patch.
Note: If you did not install it by default, then when you press Patch you will need to point to the files yourself.
File Information
Year/Date of Release : 2024
Version : 3.3.3
Developer : Topaz Labs
Developer website : Topaz Labs
Bit depth : 64bit
Interface language : English
Treatment: included
Type of medicine: patch
System Requirements
- Windows Operating System 10 or 11 (x64) (most updated version recommended)
- CPU Intel OR AMD, with AVX instructions, released after 2013
- System Memory (RAM) 16GB
- Graphics Card (NVIDIA) NVIDIA GTX 980 Ti or higher, 6GB VRAM
- Graphics Card (AMD) AMD Radeon 570 or higher, 6GB VRAM
- Graphics Card (Intel) Intel UHD 600 Graphics or higher, 16GB system RAM
- Internet connection (For installation of models)