How to Upscale Old 240p/480p Video to HD in 2026
If you have old video footage sitting on your computer — maybe family recordings from the early 2000s, old security camera clips, or videos downloaded years ago in low resolution — you’ve probably noticed they look terrible on modern screens. A 240p or 480p video on a 1080p or 4K display looks blurry, pixelated, and washed out.
The good news: AI video upscaling can dramatically improve the quality of old footage — turning a blocky 240p clip into a sharp, clear 1080p or 1440p video. And in 2026, you don’t need a powerful computer or expensive software to do it.
In this guide, we’ll walk through exactly how to upscale old low-quality video to HD, step by step, using a free tool that runs on any Windows PC — no expensive NVIDIA GPU required.
The problem: old video looks awful on modern screens
Most videos recorded before 2010 were captured in 240p (426×240) or 480p (854×480). At the time, this was fine — people watched them on small CRT TVs or tiny phone screens.
But today’s screens are different. A typical laptop is 1080p (1920×1080). A modern TV is 4K (3840×2160). When you play a 240p video on these screens, the player has to stretch every pixel to fill the screen. The result is a blurry, blocky mess.
Traditional upscaling (the kind your media player does automatically) simply stretches the image. It can’t add detail that isn’t there. AI upscaling is fundamentally different — it uses a neural network trained on millions of images to intelligently reconstruct detail, texture, and sharpness that plain stretching can’t.
Real results: what AI upscaling actually looks like
Here’s a real before-and-after comparison. The left side is the original 240p footage. The right side is after AI enhancement — upscaled to 1440p:
People scene — 240p original (left) vs 1440p AI enhanced (right). +104 sharpness gain measured.
Car footage — 240p original (left) vs 4K AI enhanced (right). +78 sharpness gain measured.
Notice how the AI doesn’t just make the image bigger — it actually reconstructs texture and detail. The fabric on the jacket, the facial features, the road markings — all significantly sharper and cleaner. This isn’t sharpening or filtering. The neural network is predicting what the high-resolution version of each frame should look like.
What you need
The surprising answer: not much. Unlike most AI video tools that require an expensive NVIDIA GPU costing $300+, you can do this on a regular laptop or desktop.
| Operating System | Windows 10 or 11 (64-bit) |
| Processor | Intel Core i5 or AMD equivalent (any generation) |
| RAM | 8 GB minimum (16 GB recommended) |
| GPU | Not required — works on Intel/AMD integrated graphics |
| Storage | 100 MB for the app + space for your video files |
| Internet | Not required — works completely offline |
If your computer can play YouTube, it can run AI video upscaling. That’s the key difference — most competitors like Topaz Video AI ($299/year) practically require an NVIDIA RTX card to run at usable speeds. The tool we’re using here, Remastra Video, uses a technology called DirectML that allows AI processing on Intel and AMD integrated graphics.
Step-by-step: upscale your video to HD
Download Remastra Video
Go to remastravideo.com/download and click “Download for Windows.” Extract the zip file to any folder. No installation needed — just extract and run.
Open the app and select your video
Double-click RemastraVideo.exe to launch. Click “Browse” and select the video you want to enhance. The app instantly shows the resolution, frame count, duration, and FPS of your file. It supports MP4, MKV, AVI, MOV, and most other common formats.
Choose your output settings
Select your target resolution — 1080p, 1440p, or 4K. If your video has people in it, toggle Face Enhancement to “On” for improved facial clarity. You can also trim the video to a specific section if you only need part of it.
Click Enhance and wait
Hit the enhance button. A circular progress ring shows the percentage and estimated time remaining. Every single frame is processed through the AI neural network — there are no shortcuts or frame skipping. On a typical Intel 12th-gen laptop, expect about 1 frame per second for 240p→1440p.
Done — your enhanced video is ready
The enhanced video is saved right next to your original file as filename_Remastra_Video.mp4. Original audio is preserved. Your original file is never modified or deleted.
The free trial lets you enhance any video up to 30 seconds at full quality — no watermarks, no quality limits. This is enough to test the results on your footage before deciding if the full version ($39, one-time) is worth it.
How does AI video upscaling actually work?
Traditional upscaling uses basic interpolation — algorithms like bilinear or bicubic that mathematically average nearby pixels to fill in the gaps. The result is always soft and blurry because no new information is created.
AI upscaling works differently. A neural network called Real-ESRGAN (Enhanced Super-Resolution Generative Adversarial Network) has been trained on millions of image pairs — low-resolution images and their high-resolution originals. Through this training, the network learned to predict what fine details should look like based on the low-resolution input.
When you feed a 240p frame into the AI, it doesn’t just stretch it — it generates new, plausible detail. Fabric textures, skin pores, hair strands, text edges, tree leaves — the network has learned what these look like at high resolution and reconstructs them.
Remastra Video processes every frame of your video through this network individually, then reassembles them into a new video with the original audio. The process is called tiled inference — each frame is divided into small 128×128 pixel tiles, each tile is enhanced separately, and the results are seamlessly blended back together.
What about face enhancement?
Old video often has the biggest problems with faces — they’re blurry, pixelated, and hard to recognize. Remastra Video includes an optional face restoration feature that specifically targets faces in each frame.
When enabled, the app detects faces in the video and applies a separate AI model (GFPGAN) that specializes in reconstructing facial details — eyes, skin texture, hair — while keeping the face looking natural and recognizable. The enhancement is blended at 35% strength by default, which improves clarity without creating the artificial “beauty filter” look that stronger settings produce.
The face enhancement model is a separate optional download (324 MB) due to its size. The core video upscaling works perfectly without it.
How long does processing take?
AI video upscaling is computationally intensive — every single frame passes through a neural network. Processing time depends on your hardware, the source resolution, and the target resolution.
Here are realistic benchmarks on a typical Intel 12th-gen laptop (integrated graphics, no dedicated GPU):
| Source → Target | Speed | 10-second clip |
| 240p → 1080p | ~1.5 FPS | ~2.5 minutes |
| 240p → 1440p | ~1.0 FPS | ~4 minutes |
| 480p → 1080p | ~1.0 FPS | ~4 minutes |
This is slower than tools that require an NVIDIA GPU — but the tradeoff is that it works on hardware you already own. You don’t need to buy a $300+ graphics card. For most use cases (enhancing a few minutes of old footage), the processing time is perfectly acceptable.
Use the trim feature to enhance only the section of video you need. If you have a 10-minute video but only need 30 seconds enhanced, trim it first to save hours of processing time.
Why offline matters
Most AI video enhancement tools in 2026 are cloud-based — you upload your video to their servers, they process it, and you download the result. This creates three problems:
- Privacy: Your video is on someone else’s server. For personal footage, legal evidence, medical video, or any sensitive content, this is a dealbreaker.
- Speed: Uploading and downloading large video files takes time, especially on slower connections.
- Cost: Cloud tools typically charge per minute of video or require monthly subscriptions.
Remastra Video runs entirely offline on your computer. It never connects to the internet. Your video files never leave your machine. There’s no account to create, no data to upload, and no ongoing subscription. This makes it suitable for HIPAA-compliant environments, legal professionals handling case footage, journalists protecting source material, and anyone who values privacy.
How does this compare to other tools?
| Tool | Price | GPU Required? | Offline? |
| Remastra Video | $39 one-time | No | Yes |
| Topaz Video AI | $299/year subscription | Practically yes | Yes |
| AVCLabs | $200 lifetime | Recommended | Yes |
| HitPaw | $140 lifetime | No (cloud) | No |
| Aiarty | $50-130 | Recommended | Yes |
If you have an NVIDIA RTX GPU and want maximum features, Topaz Video AI is the industry leader. But if you’re on a laptop with integrated graphics and want quality results at a fraction of the price, Remastra Video is the practical choice.
What kind of footage works best?
AI upscaling works well on most types of content, but results vary depending on the source material:
- Best results: Footage with clear subjects — people, cars, buildings, landscapes. The AI has the most training data for these common subjects.
- Good results: Old family videos, wedding recordings, travel footage, home movies, digitized VHS tapes, YouTube downloads.
- Moderate results: Very dark or heavily compressed footage. The AI can improve clarity but can’t recover information that’s completely destroyed by extreme compression.
- Not recommended: Intentionally stylized low-res content (like pixel art) where the low resolution is part of the aesthetic.
The free trial is the best way to find out — try your specific footage and see the results for yourself before committing.
Frequently asked questions
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