How to Upscale Video for Higher Resolution

How to upscale video efficiently? Whether you are preparing legacy footage for high-resolution displays or correcting low-quality recordings for YouTube, upscaling is the process of enhancing resolution while preserving visual integrity.

Quick Decision Guide: Which Method is Best for You

Not all upscaling tools serve the same purpose. Before you begin, identify your needs to choose the right workflow:

• For General Users (Fastest & Best Quality): Use AI-powered tools like VideoProc Converter AI. It excels at restoring low-resolution videos (360p/720p) to 4K by intelligently predicting and reconstructing details.
• For Professional Editors (Precise Control): Use Adobe After Effects if you need to integrate upscaling within a complex post-production workflow using layer-based masking or specific sharpening effects.
• For Tech-Savvy/Batch Users (Free & Automated): Use FFmpeg if you require a command-line solution for batch processing multiple files without a graphical interface.

Below, we provide a step-by-step walkthrough for each method.

Method 1. How to Upscale Video with VideoProc Converter AI

VideoProc Converter AI is an all-in-one multimedia solution that combines traditional transcoding capabilities with advanced AI features. Its Super Resolution tool is specifically engineered to bridge the gap between low-resolution video files and modern HD or 4K displays.

Why Choose AI Over Traditional Upscaling

Traditional upscaling relies on simple mathematical interpolation (such as bicubic or bilinear filtering), which essentially "stretches" existing pixels, often leading to blurriness or loss of detail. In contrast, VideoProc Converter AI utilizes deep learning models to predict and reconstruct missing data points, resulting in a significantly sharper and more natural output.

Key AI Models for Custom Restoration:

• Gen Detail: Optimized for texture extraction and sharpening. It is the primary choice for upscaling old DVDs or low-resolution footage where you want to emphasize fine detail and edge clarity.
• Real Smooth: Prioritizes visual fidelity, noise reduction, and flaw elimination. This model is ideal for footage that requires a cleaner, more polished appearance with smooth gradients and balanced color saturation.

Note: This tool supports both video and image enhancement, including support for AI-generated art and real-world photographs.

Next, let's see how it can help us with this job.

Step 1. First, download and install VideoProc Converter AI on your Windows or Mac computer.

Step 2. Launch the application and select Super Resolution from the main interface.

Step 3. On the new window, click the Add Media button, which is located in the left lower corner, to import your video.

Step 4. After the importing finishes, go to the right side and first choose the device to process the whole job. GPU would be highly suggested and the job will be finished sooner. Then choose the model you prefer. If you still feel confused about it, we would highly recommend you the Gen Detail mode. Next find the resolution numbers that you want to upscale your video to. For example, to upscale 1080p to 4K, select 2X in the Scale list after importing the 1080p video.

Step 5. Choose the video codec that you want your output video file will be. For now, VideoProc Converter AI only supports H.264 and HEVC. Then set the output saving folder and click the RUN button to start upscaling your video.

Method 2. How to Upscale Video with Adobe After Effects

For editors who require precise control over their post-production pipeline, Adobe After Effects offers a native Detail-preserving Upscale effect. Unlike basic scaling, this effect utilizes a sophisticated bicubic interpolation algorithm, which analyzes a 16-pixel grid surrounding each point to calculate new pixel values. This approach is highly effective for high-quality zooms or restoring low-resolution assets within a professional editing workflow.

Anyway, here is how to use this effect to upscale a video:

Step 1. Import your low-resolution video into After Effects and drag it to the timeline.

Step 2. Go to the Composition Settings and change the Preset option or Width/Height nunbers to what you want.

Step 3. Then head to the Effects & Presets and search for Detail-preserving Upscale.

Step 4. Find this effect and appy it to the clip. Then you will see a bunch of options popping-up on the left side, i.e.

• Fit To Comp Width: Sets Scale percentage so that the layer's width matches the composition's width.
• Fit To Comp Height: Sets Scale percentage so that the layer's height matches the compositions's height.
• Scale: The minimum value is 100%.
• Reduce Noise: Used to apply noise reduction before the scaling calculations. Increase the value so that noise is not mistakenly treated as a detail that should be preserved.
• Detail: High values increase the sharpness or contrast of edges; however ringing or halo artifacts may be introduced. Low values of Detail keep the edges more smooth and natural.
• Alpha: Processes the alpha channel differently from the color channels. You can choose to process the alpah channel differently than the color channels, for performance reasons. The default is Bicubic.

Step 5. Normally choosing either Fit To Comp Width or Fit To Comp Height would be enough. While if you want to do more for your clip, it is OK to try all of them, preview the result, and then find the best choice.

Method 3. How to Upscale Video with FFmpeg

FFmpeg is a powerful, open-source command-line framework preferred by developers and technical professionals for batch processing and automated video workflows. Unlike AI-driven tools, FFmpeg relies on built-in scaling filters to resize footage.

Choosing the Right Scaler:

FFmpeg provides multiple scaling algorithms via the libswscale library. For upscaling, we recommend the following:

1. Lanczos (Recommended): The "gold standard" for general-purpose upscaling; it strikes the best balance between sharpness and edge preservation.
2. Bicubic: A faster alternative to Lanczos, ideal for reducing processing time without significant quality loss.
3. Bilinear/Nearest-neighbor interpolation (point sampling): Generally not recommended for upscaling as they tend to produce blurry or pixelated results.

None of these algorithms require configuration, so you can use them free in FFmpeg. Since these four algorithms are all implemented in the library of libswscale that come with FFmpeg 4.2.1, please first download install FFmpeg 4.2.1 or above from its official site here.

After you finish downloading the program and installing FFmpeg on your PC, now, let's get started with the detailed steps.

Step 1. Press Windows Key and R, tap in CMD to open Command Prompt in administrator mode. Then tap in cd, press space, then paste the folder path which contains your source video there. Press Enter.

Step 2. Navigate to the folder containing your source video:

cd "path/to/your/video"

Step 3. Run the following command to upscale your footage: ffmpeg -i input.mp4 -vf scale=1920:1080:flags=lanczos -c:v libx264 -crf 18 output_1080p.mp4

Parameter Breakdown:

-vf scale=1920:1080: Defines your target resolution (e.g., 1920x1080).

flags=lanczos: Sets the scaling algorithm.

-c:v libx264 -crf 18: Sets the video codec to H.264 with a Constant Rate Factor (CRF) of 18 (visually lossless quality).

Pro Tip: If your source footage is heavily compressed, consider adding a denoise filter before the scale command to prevent artifacts from being magnified.

Best Practices & Troubleshooting: Maximize Your Upscaling Results

Achieving high-quality upscaling requires more than just the right software; it requires a strategic approach to source material and hardware.

1. Prioritize Source Quality

Upscaling cannot "invent" details that were never captured. Start with the highest quality source available—minimally compressed formats like ProRes or AVI are superior to highly compressed MP4s. If your source has noise or heavy compression artifacts, apply a light denoise filter before upscaling to prevent those flaws from being magnified.

2. The "Incremental Upscale" Rule

Avoid "leaping" from 480p directly to 4K. For professional results, upscale in steps (e.g., 480p → 720p → 1080p → 4K). This incremental process allows algorithms to refine details gradually, minimizing the risk of jagged edges or "over-smoothed" plastic-looking textures.

3. Hardware Requirements

AI upscaling is a resource-intensive task. To avoid crashes and long processing times:

• GPU: A dedicated NVIDIA RTX (or equivalent) GPU is highly recommended for hardware-accelerated processing.
• RAM: Aim for a minimum of 16GB (32GB for 4K projects).
• Storage: Use an NVMe SSD to ensure fast data read/write speeds, especially for large 4K files.

4. Troubleshooting Common Issues

• Diminishing Returns: There is a point where upscaling stops adding value. Bumping a sharp 1080p video to 4K may result in a massive file size increase with no noticeable visual improvement on most displays.
• Visual Artifacts: If you notice unnatural textures or haloing, adjust your "Detail" or "Sharpening" settings. Less is often more; avoid over-sharpening, which can introduce distracting digital ringing.
• Processing Time: If upscaling takes hours, consider testing your settings on a 10-30 second representative clip first. This prevents hours of wasted processing time on a full-length file that may not meet your expectations.

What to Do Next

All methods that we applied here are all about stretching what is in this original video file, since we cannot add extra information. So if the resolution difference before and after is huge, the image would look blurry.

It would be like taking a small image and stretching it out. It goes from appearing curved to having visible pixels because the illusion of a curve made of squares only worked at a smaller resolution.

There's really no way to stretch it out without it looking blurry or looking pixelated. You can only get away with it if you already start with a high quality image, i.e. something 1080p that was recorded on a 4k sensor and a good lens and a good codec, you can manipulate that, and it might still look okay for most people.

However, if you really want to upscale a very small resolution video file, like 360p, to 4K resolution, the trendy AI up-scaling programs can help you.

FAQs about Upscaling Videos

1. Can I upscale 480p or 720p video to 4K?

Yes, you can. Modern AI-based tools like VideoProc Converter AI can upscale 480p/720p to 4K by using deep learning to reconstruct details. However, the final visual quality depends on the clarity of the original footage; AI can enhance existing data but cannot fully "create" information that was never captured.

2. Does upscaling make a video look "real" like native 4K?

Not necessarily. AI upscaling significantly improves resolution and sharpness, but it is technically an enhancement process. While it makes videos look much better on 4K displays by reducing pixelation and noise, it may not perfectly match the raw clarity of footage shot natively with a 4K camera and lens.

3. Why is my video processing taking so long?

Video upscaling, particularly with AI models, is a highly resource-intensive task. Processing speed depends on your GPU power, CPU cores, and the resolution/length of the file. To speed up the process, ensure you have hardware acceleration enabled and, if possible, perform the task on a machine with a dedicated graphics card (NVIDIA or AMD).

4. Is it better to upscale using AI or traditional interpolation?

AI upscaling is generally superior for "restoration" tasks (e.g., fixing old DVDs, low-quality home videos) because it interprets and recreates textures. Traditional interpolation (like Bicubic or Lanczos) is better for simple scaling tasks where you want to keep the footage looking as close to the original as possible without "AI-generated" changes.

5. Will upscaling my video increase the file size?

Yes. Increasing resolution requires more data, which leads to larger file sizes. If storage space is a concern, you can use high-efficiency codecs like HEVC (H.265) during the export process to maintain high quality while keeping the file size manageable.