AVCLabs Video Enhancer AI is an AI-based video enhancer software to upscale video quality and enlarge the video resolution from SD to 1080p, HD to 4K, and up to 8K. With AVCLabs Video Enhancer AI, you can upscale low-res videos to high resolution and bring your old videos a stunningly new look and second life through post-processing.

We suggest you run AVCLabs Video Enhancer AI on high-end dedicated graphics cards (NVIDIA GTX 1050 Ti and upper). The minimum CPU requirement is Intel CPU from 2015 onwards (4th generation) or AMD CPU from 2016 onwards. For more details about the hardware requirement for AVCLabs Video Enhancer AI, you can refer to the reference page.

On a PC with Intel(R) Core (TM) i5 -10400F CPU @ 2.90 GHz (6 Cores/12 Threads), NVIDIA GTX 1650 Super GPU, to upscale video from HD to 8K, it typically takes 5 seconds for each frame. If you upscale a video from SD to HD, it will take about 0.8 seconds for each frame.

Yes, AVCLabs Video Enhancer AI now is available for both Windows and Mac. Please go to the product page to download the the Mac version.

Yes, you need to contact us to help you clear the registration records, and then you can use the license code on your new PC.

In the unregistered version, you can convert 3 video files at most. And there is no number limitation for the registered version.

Although hardware acceleration is implemented during the AI conversion process, the time needed for the conversion differs a lot due to different PC hardware configurations and users’ output demands, ranging from 8 to 30 hours.

To enable the "Face Refinement" function, the computer should be dedicated 4GB GPU memory at least. And 6GB and above are recommended.

Please go to the installation folder of the program, such as "C:\Program Files (x86)\avclabs\AVCLabs Video Enhancer AI". Find the file vc_redist.x64.exe and run it manually.

If you are experiencing constant crashes (after the last update to V3.0.0) when trying to process videos, and the video enhancement is not getting complete, please follow this tutorial to fix this issue.