# REAL Video Enhancer: AI-Powered Video Interpolation, Upscaling, and Denoising

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REAL Video Enhancer is a powerful open-source application designed to enhance video quality across Linux, Windows, and macOS. It leverages AI models for advanced video processing tasks such as frame interpolation, upscaling, decompression, and denoising. This tool provides a modern alternative to older software, making high-quality video enhancement accessible to a wider audience.

GitHub: https://github.com/TNTwise/REAL-Video-Enhancer
OSRepos URL: https://osrepos.com/repo/tntwise-real-video-enhancer

## Summary

REAL Video Enhancer is a powerful open-source application designed to enhance video quality across Linux, Windows, and macOS. It leverages AI models for advanced video processing tasks such as frame interpolation, upscaling, decompression, and denoising. This tool provides a modern alternative to older software, making high-quality video enhancement accessible to a wider audience.

## Topics

- video-enhancement
- ai
- upscaling
- interpolation
- denoising
- cross-platform
- python
- gui

## Repository Information

Last analyzed by OSRepos: Fri Jun 19 2026 12:40:05 GMT+0100 (Western European Summer Time)
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GitHub clicks: 1

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## Content

## Introduction

REAL Video Enhancer is a comprehensive, open-source application that redefines video enhancement. It serves as a redesigned and improved version of the original Rife ESRGAN App for Linux, now offering robust functionalities across Windows, Linux, and macOS. This project aims to provide a superior alternative to outdated software like Flowframes or enhancr, making advanced video processing accessible.

Key features include:
*   Cross-platform support for Windows, Ubuntu 22.04+, and MacOS 15+ (arm/x86).
*   Discord RPC integration for system and Flatpak Discord packages.
*   Intelligent scene change detection to maintain sharp transitions.
*   A live preview displaying the latest rendered frame.
*   Optimized inference across various GPUs using TensorRT and NCNN.

## Installation

**Please note:** This project is currently undergoing a significant refactor, and the current version may not receive updates for a while. However, the existing stable version remains functional.

To get started with REAL Video Enhancer, you can clone the repository and build it.

### Cloning the Repository:

For the nightly version:
bash
git clone --recurse-submodules https://github.com/TNTwise/REAL-Video-Enhancer


For the stable `2.4.1` version:
bash
git clone --recurse-submodules https://github.com/TNTwise/REAL-Video-Enhancer --branch 2.4.1


### Building the Application:

REAL Video Enhancer supports multiple build methods and Python versions.
Supported Python versions: 3.10, 3.11, 3.12.
Supported build methods: `pyinstaller` (recommended for Windows/Mac), `cx_freeze` (recommended for Linux), `nuitka` (experimental).

To build, navigate to the cloned directory and run:
bash
python3 build.py --build BUILD_OPTION --copy_backend

Replace `BUILD_OPTION` with your preferred method (e.g., `pyinstaller` or `cx_freeze`).

## Examples

REAL Video Enhancer excels at transforming video content through various AI-powered processes. You can use it to:
*   **Interpolate Frames:** Smooth out videos by generating intermediate frames, effectively converting 24FPS video to 48FPS or higher for a more fluid viewing experience.
*   **Upscale Resolution:** Enhance video resolution, for instance, upscaling a 1920x1080 video to 3840x2160 (4K) using advanced models like Real-ESRGAN and SPAN.
*   **Decompress and Denoise:** Improve video clarity by reducing compression artifacts and removing unwanted noise, making older or lower-quality footage look significantly better.

The application supports a wide array of interpolation models (e.g., RIFE, GMFSS, IFRNet) and upscale models (e.g., 4x-SPANkendata, 2x-AnimeJaNai V2). For a quick demonstration, refer to the project's demo screenshot showcasing its capabilities.

If you prefer to experiment without a local installation, a [Colab Notebook](https://github.com/tntwise/REAL-Video-Enhancer-Colab) is available for cloud-based processing.

## Why Use It

Choosing REAL Video Enhancer means opting for a cutting-edge, versatile, and user-friendly solution for video enhancement.
*   **Cross-Platform Compatibility:** Enjoy seamless operation on Linux, Windows, and macOS, catering to a broad user base.
*   **Advanced AI Integration:** Leverage state-of-the-art AI models for superior frame interpolation, upscaling, decompression, and denoising results.
*   **Optimized Performance:** Benefit from efficient inference backends like TensorRT, PyTorch, and NCNN, ensuring faster processing on compatible GPUs.
*   **Modern Alternative:** Move beyond outdated video processing tools with an actively developed and feature-rich application.
*   **Open Source:** As an open-source project, it fosters community contributions and transparency, allowing users to inspect, modify, and improve the software.
*   **User-Friendly Interface:** The application provides a graphical user interface (GUI) that simplifies complex video enhancement tasks, making them accessible to users of all skill levels.

## Links

*   **GitHub Repository:** [https://github.com/TNTwise/REAL-Video-Enhancer](https://github.com/TNTwise/REAL-Video-Enhancer)
*   **Download on Flatpak:** [https://flathub.org/apps/io.github.tntwise.REAL-Video-Enhancer](https://flathub.org/apps/io.github.tntwise.REAL-Video-Enhancer)
*   **Download on Steam:** [https://store.steampowered.com/app/4087640/](https://store.steampowered.com/app/4087640/)
*   **Discord Community:** [https://discord.gg/hwGHXga8ck](https://discord.gg/hwGHXga8ck)
*   **Colab Notebook:** [https://github.com/tntwise/REAL-Video-Enhancer-Colab](https://github.com/tntwise/REAL-Video-Enhancer-Colab)