What is Video2X?
Video2X is a powerful, open-source tool designed to super-resolve and enhance low-quality videos using advanced AI-driven techniques — turning blurry, pixelated, or outdated footage into crisp, high-definition content.
Think of it as a digital time machine for video:
- It can upscale old anime, retro games, or grainy home videos from 360p to 4K.
- It intelligently adds frames (frame interpolation) to make motion smoother — like upgrading a 30fps clip to buttery 120fps.
- It preserves details, sharpens textures, and reduces noise — all without distorting the original style.
Built on machine learning models like waifu2x and DAIN, Video2X runs locally on your machine (or in the cloud via Google Colab), so your data never leaves your control — perfect for privacy-conscious creators.
It’s not just for anime fans. Whether you’re restoring old family videos, enhancing educational content, or giving vintage game footage a modern glow, Video2X makes it possible — fast, efficient, and free.
And with support for Windows, Linux (via AppImage or AUR), Docker, and even web-based access through Colab, it’s accessible to everyone — from beginners to tech wizards.
The New Update!
Video2X 6.0.0 is not just another update, but a full-on rebirth of a beloved tool that’s been turning low-res videos into cinematic masterpieces for years.
But here’s the kicker: it still delivers insane quality. From old anime clips to retro gameplay footage, Video2X now handles super-resolution and frame interpolation like a pro, bringing 360p to 4K or 30fps to 120fps with stunning clarity.
You don’t need to be a tech wizard. Just download the installer, run it, and boom — you’re scaling videos like a pro. Need GPU power? Use Google Colab and borrow a T4 or A100 for free (just please be nice to the servers!).
And if you’re curious, passionate, or just love tinkering — join the Telegram chat, dig into the docs, or even build it yourself. This isn’t just software. It’s a community-powered passion project that treats every pixel like gold.
Platforms
- Windows
- Linux
- macOS
Hardware Requirements
Your system must meet the minimum hardware requirements below to run Video2X.
- CPU
- The precompiled binaries require CPUs with AVX2 support.
- Intel: Haswell (Q2 2013) or newer
- AMD: Excavator (Q2 2015) or newer
- GPU
- The GPU must support Vulkan.
- NVIDIA: Kepler (GTX 600 series, Q2 2012) or newer
- AMD: GCN 1.0 (Radeon HD 7000 series, Q1 2012) or newer
- Intel: HD Graphics 4000 (Q2 2012) or newer
The Project Depends Several Packages:
- FFmpeg / FFmpeg
🎞️ The backbone of video processing.
Handles all input/output formats, decoding, encoding, and stream manipulation.
→ License: LGPLv2.1, GPLv2 - Tencent/ncnn
🧠 High-performance neural network inference engine.
Powers AI models efficiently on CPU and GPU (especially mobile and edge devices).
→ License: BSD 3-Clause - bloc97/Anime4K
🎨 Specialized AI for anime-style upscaling.
Enhances pixel art and hand-drawn animation with minimal artifacts.
→ License: MIT License - nihui/realcugan-ncnn-vulkan
🖼️ Real-time cartoon image upscaler.
Sharpens 2D artwork while preserving line quality — ideal for manga and cartoons.
→ License: MIT License - nihui/rife-ncnn-vulkan
⚡ Frame interpolation engine.
Adds smooth motion between frames — turns 30fps into 60fps or even 120fps.
→ License: MIT License - xinntao/Real-ESRGAN-ncnn-vulkan
🔍 Advanced super-resolution model.
Restores detail in photos and videos using deep learning — great for general content.
→ License: MIT License
License
This project is licensed under GNU AGPL version 3. Copyright (C) 2018-2025 K4YT3X and contributors.
