Enhance AI-Generated Video Quality

Update (March 2026): OpenAI has announced that Sora is shutting down. If you relied on Sora for AI video generation, alternatives like Kling, Runway, Pika, and Veo are still going strong — and our enhancer works with all of them. If you have existing Sora videos, download and enhance them before the service goes offline.

AI video generation has gotten shockingly good in the past year. Tools like Sora, Kling, Runway Gen-3, Pika, and Google Veo can create footage that would have been impossible to produce without a film crew just two years ago. But here's the thing that nobody talks about enough: the raw output from these tools almost always needs post-processing. You need to enhance AI generated video before it's truly ready for professional use.

The Universal Quality Gap in AI Video

Every AI video generator on the market shares a set of common quality limitations. It doesn't matter if you're using the most expensive tier of Sora or the free version of Pika — these issues show up to varying degrees in all of them:

• Resolution caps — Most generators top out at 720p or 1080p. Even when 1080p is available, the effective detail is often closer to what you'd expect from a 720p source because the model just can't resolve fine texture at every pixel.
• Temporal inconsistency — Frame-to-frame flickering where textures shift, edges wobble, or brightness fluctuates. This is baked into the diffusion process and happens because each frame is partially generated independently.
• Diffusion artifacts — A specific grain pattern unlike camera sensor noise, occasional "melting" of fine detail, and areas where the model couldn't decide what to render and produced something soft and vague.
• Compression on export — Most platforms compress the output during download, adding another layer of quality loss on top of the generation limitations.

When you enhance AI generated video with a temporal-aware AI upscaler, you address all four of these problems in a single pass. It's become a standard step in the workflow for anyone serious about using AI video in real projects.

How Enhancement Differs from Traditional Upscaling

A quick clarification that matters: bicubic or Lanczos upscaling just stretches existing pixels to fill a larger frame. Every video player already does this when you play a 720p file on a 4K screen. That doesn't add detail — it just makes the softness bigger.

AI enhancement with models like FlashVSR works differently. The model was trained on millions of paired video samples — degraded inputs alongside their high-quality counterparts. When you feed it an AI-generated clip, it recognizes the specific degradation patterns (diffusion grain, temporal flicker, soft patches) and generates plausible replacement detail. The output isn't just sharper — it contains texture and edge information that wasn't in the original file.

Across 18,000+ processed videos, our pipeline achieves 3–6 dB PSNR improvement over the input with a 93.8% success rate. That's not a subtle tweak. That's a visible, dramatic improvement you can see at a glance.

Generator-Specific Issues and How to Handle Them

Sora (OpenAI)

Sora produces some of the most coherent AI video available, but defaults to 720p on most plans and generates noticeable temporal flicker in areas with detailed textures. Enhancement typically yields the most dramatic improvement on Sora clips because the base content is strong — the AI just needs to clean it up and scale it. Our tool handles this well.

Kling (Kuaishou)

Kling is great at motion and dynamic scenes but tends to produce face distortion and motion blur during fast movement. The enhancement model stabilizes faces and sharpens motion-blurred regions. Kling clips often benefit significantly from a single enhancement pass.

Runway Gen-3

Runway generates at 768p by default, which is an odd resolution that doesn't map cleanly to standard display sizes. The Video Upscaler handles this well, bringing Runway clips to a clean 1080p or 4K while adding real texture.

Pika

Pika excels at creative effects and stylized content but its base resolution is limited and flickering is common in high-detail regions. Enhancement preserves Pika's distinctive style while fixing the technical issues.

Google Veo

Veo 2 can output up to 4K, making it the highest-resolution AI generator currently available. But even at 4K, there are diffusion artifacts and temporal inconsistencies that benefit from a cleanup pass. Enhancement here is more about artifact removal than resolution increase.

The Enhancement Workflow

Here's the process that works regardless of which generator you're using:

• Generate your clip in whichever tool you prefer. Iterate on the prompt until you're happy with the composition, motion, and content.
• Export at maximum quality. Every generator has quality tiers or compression options — always pick the highest. Don't screenshot or screen-record the preview.
• Upload to our Video Enhancer. The AI automatically detects AI-generated content and adjusts its processing strategy. No manual settings needed.
• Download the enhanced result. You get a clean H.264 MP4 at up to 4K with no watermark. Drop it into your editor or upload directly to your platform.

When to Use Enhancer vs. Upscaler

We offer two tools that both work with AI-generated video:

The Video Enhancer handles everything — flickering, grain, softness, and resolution increase. It's the right choice when your AI-generated clip has visible artifacts beyond just low resolution. This covers about 80% of use cases.

The Video Upscaler focuses purely on resolution increase using SeedVSR, a different model architecture optimized for detail synthesis. Use this when your clip looks clean but just needs to be bigger — common with higher-quality Sora and Veo outputs.

Pricing

Free credits on signup, then 3 credits per second of video at $0.01 per credit. A 10-second AI-generated clip costs $0.30 to enhance. No subscription, no watermark. Most AI video clips are under 15 seconds, so you're typically looking at under $0.50 per enhancement.

Why Post-Processing Is Now a Standard Step

The best AI video creators have already figured this out. If you look at the polished AI video content on YouTube, Instagram, or film festival submissions, almost none of it is raw generator output. There's always a post-processing step — color grading, stabilization, and quality enhancement. This tool automates the hardest part of that pipeline: making AI video look like it was captured by a real camera on a real set.

As generators improve, the gap between raw output and "production ready" will shrink. But right now, in 2026, enhancement is the fastest way to make your AI generated video stand out from the crowd of people posting raw 720p clips. It's a small investment that makes a big difference.