Can VideoProc AI Really Reduce Noise and Enhance Blurry, Old Footage? Real-World Tests
Brie Clayton November 15, 2026
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When working on a video project, we sometimes come across source footage that isn't quite up to standard. It may be noisy from shooting in low light, blurry, or simply too low in resolution. Traditional post-production methods can help address these issues to some extent, but getting good results often takes time and careful adjustments. Meanwhile, performing heavy AI rendering or third-party plugin denoising directly inside mainstream NLEs (like Premiere Pro or DaVinci Resolve) can severely bog down your timeline, hog VRAM, and cause stuttering during client reviews.
Using an independent pre-processing utility like VideoProc Converter AI helps solve this. It is an all-in-one AI-powered video enhancer and converter, known for its local processing, GPU-accelerated performance, and lifetime license with no AI credits required. These features make it an interesting option for video editors looking to clean up and improve their footage before importing it into Premiere Pro, DaVinci Resolve, After Effects, Final Cut Pro, etc.
But how well does VideoProc AI actually handle imperfect footage? I decided to put it to the test and see how much it could actually improve the quality of the source materials.
Black Friday Deal: If you're interested in trying VideoProc AI yourself, there's also a Black Friday special offering up to 65% off. Check out the limited-time offer here.
How I Tested I picked three different samples to test how VideoProc AI handles common quality issues: low-light footage with visible noise, an old low-resolution video, and a blurry portrait photo.
I ran the tests on a Windows 11 64-bit PC with an AMD Radeon RX 6700 XT (8GB VRAM) GPU and 128GB of RAM.
With everything set up, let's see how VideoProc AI's video enhancement features perform across these different scenarios and what improvements it can deliver.
Test 1. Fix High-ISO, Low-light Noisy Video Noise is common in footage shot at high ISO or in night and low-light conditions. Most professional NLEs offer built-in denoising tools, but getting desired results isn't always straightforward. Aggressive denoising can smooth out fine details like hair, skin textures, and building surfaces, while more advanced workflows may require additional plugins, careful parameter adjustments, or longer render times. Maintaining consistent detail across moving frames can also be challenging.
How VideoProc Helps: VideoProc AI uses its Super Resolution feature to automatically reduce noise, minimize blur, and enhance fine details. Unlike traditional noise reduction filters that often require manual tuning, its AI models handle much of the processing automatically. It works as a standalone pre-processing tool, allowing editors to clean up problematic footage before importing it into their main editing software.
What I Found: The low-light footage showed visible noise, particularly in the sky. After processing it with Real Smooth V3 in VideoProc AI, the noise was significantly reduced, while building textures and fine edges appeared clearer and remained natural-looking. I was particularly pleased that the footage didn't look overly smooth or plastic-like, which can sometimes happen with aggressive denoising. Overall, the result was cleaner footage without sacrificing much of the original detail.
Test 2. Enhance Old and Low-Resolution Footage Old footage often suffers from multiple quality issues. Low resolution can make videos look blurry or pixelated, especially on larger screens, while low frame rates result in choppy motion. Other common problems include interlacing, soft details, and an overall lack of sharpness.
How VideoProc Helps: VideoProc AI offers several AI models and tools for enhancing old and low-quality footage:
Super Resolution: Upscales DVD, VHS, and other low-resolution videos by 2x, 3x, or 4x, with output resolutions up to 4K UHD (2160p).
Gen Detail v3 & Real Smooth v3: Enhance fine details, improve clarity, and produce smoother-looking results.
Frame Interpolation: Increases frame rates, for example, from 24fps or 30fps to 60fps, 120fps, or higher, making motion smoother.
Deinterlace: Converts interlaced footage into progressive video for better compatibility with modern displays.
For this test, I used VideoProc AI's Super Resolution to upscale an old 720p video to 1080p. Here's the before-and-after comparison:
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What I Found: The original footage looked soft and lacked fine detail. After upscaling it to 1080p with VideoProc AI, the image appeared sharper, with better-defined facial features and hair strands. What impressed me most was that these improvements didn't come at the expense of the video's original look. The footage retained its natural appearance, without obvious AI-generated artifacts or excessive sharpening.
Test 3. Restore Photos in Different Aspects Similar to videos, photos may have issues like out-of-focus blurs, digital noise, unclear faces, and softness. Most NLEs offer basic image adjustments such as color correction, exposure, sharpening, cropping, and effects. However, these adjustments may not be enough to restore real details in blurry, low-resolution, or heavily noisy photos. This can be especially challenging when photos need to be enlarged, cropped, or animated in a video project.
How VideoProc Helps: The Image AI in VideoProc AI offers Super Resolution to increase image res
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Can VideoProc AI Really Reduce Noise and Enhance Blurry, Old Footage? Real-World Tests 
