I Tested DVDFab Video Enhancer AI (UniFab) for 2 Weeks – Here's My Honest Experience

I recently spent about two weeks testing DVDFab Video Enhancer AI, which is now part of the UniFab ecosystem. My goal was simple: I had several old family videos, some low quality anime clips, and a few noisy drone recordings that I wanted to improve without learning complicated editing software.

Since AI video enhancement tools have become incredibly popular, I wanted to see whether UniFab was worth the price and whether it could actually deliver noticeable improvements in real-world footage.

Here’s my personal experience after putting it through multiple tests.

Why I Decided to Try DVDFab Video Enhancer AI

For years, I kept a collection of old videos that looked terrible on modern screens. Some were recorded on older smartphones, while others were downloaded clips that suffered from heavy compression.

After reading several discussions online, I discovered that DVDFab had moved its AI enhancement products into a newer platform called UniFab. Since it promised AI upscaling, denoising, HDR conversion, and even video colorization, I decided to give it a try.

The installation process was straightforward, and the interface looked surprisingly clean for a tool packed with advanced AI features.

The AI Models That Caught My Attention

One thing that immediately stood out was how many AI models UniFab includes.

Instead of using a single enhancement engine, it offers specialized models for different scenarios:

  • Equinox for general videos

  • Titanus for movies and TV content

  • Vellum for highly detailed textures

  • Kairo for anime and cartoons

  • Face Enhancer for portraits

  • Denoise for noisy footage

  • Smoother for frame interpolation

  • HDR Upconverter for dynamic range improvements

  • Colorizer for black-and-white videos

At first, I thought this was just marketing. But after testing several models, I noticed that different AI engines really do produce different results.

Test 1: Enhancing a Portrait Video

The first clip I tested was a 30-second portrait video recorded on a smartphone. The footage featured a person speaking directly to the camera, but the original file suffered from noticeable compression artifacts around the face, especially near the eyes, nose, and mouth.

To see how well UniFab could restore facial details, I selected the Face Enhancer model and kept the output resolution at 720p so I could focus purely on facial enhancement rather than upscaling.

What Improved

  • Facial contours appeared cleaner and more defined

  • Compression artifacts around the eyes became less noticeable

  • Skin texture looked more natural without appearing overly smooth

  • Hair strands and facial features gained additional clarity

What I Didn’t Like

The enhancement quality was impressive, but rendering speed was slower than I expected.

On my RTX 3070 Ti system, the 30-second clip took about four minutes to process. While the visual improvements were easy to spot, creators working with large batches of portrait videos may need to plan for longer export times.

My Impression

For interviews, talking-head content, video podcasts, and social media portrait videos, the Face Enhancer model delivered noticeable improvements. The results looked realistic and avoided the artificial “plastic skin” effect that some AI enhancement tools can produce.

Test 2: Upscaling an Old Anime Episode

Anime enhancement was actually the test I was most excited about.

I used a one-minute clip from an older 720p animation and selected the Kairo model.

The goal was to upscale the footage to 4K.

After processing finished, I immediately noticed cleaner line art and much sharper edges.

The software handled character outlines surprisingly well and avoided the color bleeding that often appears in traditional upscaling methods.

My Impression

This was probably the most impressive result among all my tests.

If you watch anime regularly or maintain a collection of older animated content, the Kairo model alone may justify trying UniFab.

The downside was processing time.

The one-minute clip required around eleven minutes to complete.

Test 3: Cleaning Up Noisy Night Drone Footage

The toughest challenge involved a noisy nighttime drone recording.

The original footage contained visible grain, compression artifacts, and a lack of detail in darker regions.

I combined the Denoise model with Titanus and exported the video in 4K.

The difference was immediately noticeable.

Noise levels dropped dramatically while building edges and road details became easier to identify.

What impressed me most was that the AI managed to preserve important textures instead of simply blurring everything together.

However, this was also the slowest test.

The one-minute clip required nearly fourteen minutes to finish.

The Biggest Drawback: Pricing

Let’s talk about the part that made me hesitate before purchasing.

UniFab is not cheap.

At the time of my testing:

  • Individual AI modules cost around $129.99

  • Annual plans ranged from roughly $34.95 to $99.99

  • The complete All-In-One package was listed at several hundred dollars

For professional creators, the pricing may be reasonable.

For hobbyists who only enhance videos occasionally, it can feel difficult to justify.

Another limitation is the trial version.

While it lets you test the software, exported videos contain prominent watermarks, making it difficult to fully evaluate output quality before purchasing.

What Other Users Seem to Think

While researching online communities, I noticed a fairly consistent pattern.

Many users praised the quality of the AI models, especially Titanus and Kairo.

However, complaints often focused on two issues:

  • Long rendering times

  • High hardware requirements

Several laptop users reported significantly slower processing speeds compared to desktop systems equipped with dedicated GPUs.

Based on my own experience, I can understand those concerns.

Pros and Cons After Two Weeks of Testing

What I Liked

  • Clean and beginner-friendly interface

  • Multiple AI models for different content types

  • Excellent anime enhancement

  • Strong facial restoration

  • Supports extremely high output resolutions

  • Effective GPU acceleration

What Could Be Better

  • Expensive licensing options

  • Watermarks in the trial version

  • Long rendering times

  • Requires powerful hardware for best performance

The Alternative I Ended Up Using More Often

Although UniFab produced excellent results, I eventually found myself using HitPaw VikPea more frequently for everyday projects.

The main reason was simplicity.

Most of my personal videos didn’t require extensive tweaking or switching between multiple AI models.

With HitPaw VikPea, I could simply import a clip, select an enhancement model, preview the result, and export.

Why I Preferred HitPaw VikPea for Daily Use

  • Easier learning curve

  • Faster workflow

  • Effective AI upscaling

  • Strong denoise performance

  • Video repair features

  • Portrait enhancement tools

  • Batch processing support

  • Upscaling up to 8K

When comparing the same 1080p clips on my system, HitPaw VikPea often completed enhancement tasks faster while still delivering impressive visual improvements.

For creators who prioritize convenience over deep customization, that difference can be significant.

Final Thoughts

After two weeks of testing, I can confidently say that DVDFab Video Enhancer AI, now operating within UniFab, is a capable AI enhancement platform.

The specialized AI models genuinely improve different types of footage, especially anime, facial videos, and noisy recordings.

However, its premium pricing and demanding hardware requirements make it better suited for enthusiasts and professionals who regularly work with video restoration.

For users who simply want a straightforward solution with fewer adjustments and a more beginner-friendly experience, HitPaw VikPea may be the more practical choice.

That’s been my experience so far. If you’ve tested either tool yourself, I’d be interested to hear how your results compare.