How to Upscale Video to 4K Using AI

What you need before starting

AI video upscaling is one of the most hardware-intensive video processing tasks. Before starting:

• GPU with sufficient VRAM — AI upscaling relies heavily on GPU processing. NVIDIA GPUs with 6GB+ VRAM are recommended. Apple Silicon Macs with 16GB+ unified memory handle upscaling well. Integrated graphics will be extremely slow or may not work at all.
• Source footage — The highest quality version of your footage available. AI can enhance detail but cannot invent information that was never captured. Better input produces dramatically better output.
• Storage space — 4K video files are substantially larger than 1080p. A 10-minute 1080p clip might be 2GB; upscaled to 4K, expect 6-10GB depending on codec and bitrate. Plan your storage accordingly.
• Processing time expectations — AI upscaling is slow. A 10-minute 1080p-to-4K upscale can take 30 minutes to several hours depending on your hardware and chosen AI model. Plan for overnight processing on longer projects.

Step 1: Understand how AI upscaling works

Traditional upscaling interpolates between existing pixels, essentially guessing what goes in the gaps. The result is a larger image with no additional detail: just a blurrier version at higher resolution. You have seen this every time you zoom into a low-res photo and it looks soft.

AI upscaling uses neural networks trained on millions of image pairs (low-res and high-res versions of the same content) to predict what detail should exist at higher resolutions. The AI recognizes patterns: edges, textures, faces, text, and specific materials, then generates plausible detail that was not in the original footage.

The key word is plausible. AI upscaling does not recover actual lost information. It generates detail that looks realistic based on what it has learned. This works remarkably well for many content types but can produce artifacts when the AI guesses wrong, particularly with unusual textures or very low source quality.

Understanding this distinction helps set expectations. Upscaling clean 1080p footage to 4K produces excellent results. Upscaling 480p footage to 4K will look better than simple interpolation but will not match native 4K quality. The improvement is real but has limits.

Step 2: Choose the right upscaling tool

The upscaling tool market ranges from dedicated desktop applications to web services:

Topaz Video AI: The gold standard for dedicated video upscaling. Multiple AI models optimized for different content types. One-time purchase, runs locally on your hardware. Best quality available outside of custom machine learning pipelines.

DaVinci Resolve Studio: Super Scale feature built into the paid version of Resolve. Integrates directly into your editing workflow. Quality is good but not as specialized as Topaz. Convenient if Resolve is already your primary editor.

Web-based tools: Services like PixelCut, Cutout.Pro, and various online upscalers handle quick jobs without software installation. Quality and speed vary. Most limit file size and processing length. Good for short clips, impractical for long-form content.

For teams working with large video libraries that need selective upscaling, tools like Wideframe can help identify which clips in your library are below target resolution, so you can batch-process only what needs enhancement rather than upscaling everything.

Step 3: Upscale video with Topaz Video AI

Topaz Video AI provides the most control and best results for dedicated upscaling:

1. Open Topaz Video AI and drag your source video file into the application window.
2. Set the output resolution to 3840x2160 (4K UHD). Topaz supports custom resolutions if you need different output dimensions.
3. Choose an AI model. The key options are:
   • Proteus — Best general-purpose model. Handles most content types well with adjustable parameters for detail, blur, and noise.
   • Artemis — Optimized for low-quality and compressed sources. Better at handling compression artifacts during upscale.
   • Gaia — Designed for CG content and animation. Produces sharper edges on synthetic content.
4. Preview a section of your video. Topaz renders a preview frame showing the before/after comparison. Adjust model parameters if needed.
5. Set output codec and container. ProRes for quality-first workflows, H.265 for space efficiency. Match your downstream workflow requirements.
6. Click Export. Processing begins frame-by-frame. Topaz shows estimated time remaining and current progress.

Topaz Video AI also includes stabilization, denoising, and frame interpolation alongside upscaling. You can apply multiple enhancements in a single pass, which is significantly faster than processing each enhancement separately.

Step 4: Upscale video in DaVinci Resolve

DaVinci Resolve Studio includes Super Scale for integrated upscaling:

1. Import your footage and place it on the timeline. Set your project resolution to 3840x2160 in Project Settings.
2. Select the clip on the timeline and open the Inspector panel.
3. In the Inspector under the clip's properties, find the Super Scale dropdown. Options range from 2x to 4x scaling.
4. Choose the enhancement level: Auto, Sharp, or Enhanced. Sharp works best for footage with clear detail. Enhanced smooths artifacts and works better with noisy or compressed sources.
5. Set the sharpness amount. Start at the default and adjust based on preview. Over-sharpening creates halos and unnatural edges.
6. Play back the timeline to preview results. Resolve processes Super Scale in real-time or near real-time on capable GPUs.
7. Render your final output at 4K resolution. Super Scale is applied during the render, so ensure your delivery settings match your target 4K specifications.

The advantage of Resolve's approach is workflow integration. You do not need to process footage separately, then import the upscaled version. Super Scale applies directly within your editing timeline, keeping your project self-contained. Quality is a step below Topaz for dedicated upscaling but perfectly adequate for most professional workflows.

Step 5: Upscale video with web-based tools

Web tools provide quick upscaling without software installation:

1. Navigate to an AI upscaling service. Options include PixelCut, Cutout.Pro Video Upscaler, or other web-based AI upscalers.
2. Upload your video file. Most services accept MP4 and limit file size (typically 100-500MB) and duration (1-5 minutes on free tiers).
3. Select target resolution. Most offer 2x or 4x scaling options.
4. Wait for processing. Cloud-based processing times vary from minutes to hours depending on the service, queue length, and your clip's duration.
5. Preview and download the upscaled result.

Web tools are best for quick tests, short clips, and situations where installing desktop software is not practical. For long-form content or production work, desktop tools provide better quality, more control, and no upload or processing limits.

Step 6: Optimize settings for different content types

Different footage benefits from different upscaling approaches:

Live action with faces: Use models that preserve facial detail without over-smoothing. In Topaz, Proteus with moderate sharpness works well. Avoid aggressive enhancement that can create an uncanny-valley effect on faces.

Nature and landscape: These benefit most from upscaling because the AI excels at generating natural textures like foliage, water, and rock. Higher sharpness settings work well. Detail enhancement can make landscapes look significantly better than the original.

Screen recordings and text: Text needs to remain sharp and readable. Use models that prioritize edge clarity over texture generation. In Topaz, increase the sharpness parameter and reduce noise reduction. In Resolve, use the Sharp enhancement mode.

Archival and old footage: Older content often has significant noise and compression artifacts. Use models designed for low-quality sources, like Topaz's Artemis model. Consider running denoising before or alongside upscaling. Expect improvement but not miracles: the AI cannot generate detail that was never captured.

Animation and graphics: Animated content upscales exceptionally well because the AI can generate clean, sharp edges. Use animation-specific models (Gaia in Topaz) for the best results. Solid colors, clean lines, and geometric shapes are exactly what AI upscaling handles best.

Step 7: Quality check and export

Before finalizing your upscaled video, verify the results:

• Check multiple sections. AI results can vary across a video. A section with clear detail may upscale beautifully while a darker or noisier section produces artifacts. Preview at least 3-5 representative sections.
• Zoom to 100% on a 4K display. Viewing at full resolution reveals artifacts that are invisible at zoomed-out preview levels. If you do not have a 4K monitor, zoom to 200% on your 1080p display to simulate the pixel-level view.
• Watch for temporal artifacts. Some upscaling creates flickering or shimmering on fine detail between frames. Play back at full speed and look for areas where detail appears to pulse or shimmer, particularly in foliage, fabric textures, and hair.
• Compare against the original. Your upscaled video should always look better than the source. If any section looks worse, adjust the model or parameters for that section.

For export, match your delivery requirements. ProRes 422 HQ or ProRes 4444 for workflows that need maximum quality. H.265 at high bitrate (50-100 Mbps) for delivery where file size matters. Avoid aggressive compression on upscaled footage, as this can undo the detail the AI generated.

Tips and best practices

• Start with the best source possible. Upscaling from a master file produces dramatically better results than upscaling a compressed web version of the same footage. Always find the highest quality original.
• Denoise before upscaling. Noise gets amplified and sometimes exaggerated by upscaling AI. Running a denoising pass first gives the upscaler cleaner input to work with.
• Use the right AI model for your content. General-purpose models are decent at everything but optimal at nothing. Content-specific models, when available, produce noticeably better results.
• Process overnight. AI upscaling is slow. Queue your clips for overnight processing so the computer works while you do not. Most tools support batch processing for multiple clips.
• Keep originals. Always preserve the original files alongside upscaled versions. AI upscaling is a non-reversible process, and you may want to reprocess with different settings as AI models improve.

Common mistakes to avoid

• Upscaling already-upscaled footage. Running AI upscaling on footage that was already upscaled from a lower resolution compounds artifacts. Always go back to the original source for re-processing.
• Over-sharpening. Aggressive sharpness settings create halo artifacts around edges and an unnatural, hyper-detailed look. Use the minimum sharpness that produces visibly improved detail.
• Expecting miracles from very low resolution. Upscaling 240p or 360p footage to 4K will improve it, but the result will not match native 4K. Set realistic expectations based on source quality.
• Ignoring file size implications. 4K files are 4x larger than 1080p at equivalent bitrate. A project with many upscaled clips can balloon storage requirements quickly. Plan your storage before starting.
• Compressing output too aggressively. The detail AI adds is subtle. Heavy compression destroys exactly the fine detail that upscaling generated. Use high bitrates or lossless codecs for upscaled exports.