LIVE
Mistral Makes Large 4 Available as Open Weights29/10/26 · Mistral AI|Gemini 4 Carbon tops the Artificial Analysis Intelligence Index v529/10/26 · Google|Mistral Large 4 now available on Hugging Face29/10/26 · Mistral AI|Google Introduces "Gemini 4 Carbon" as Next Step in Its Model Lineup28/10/26 · Google|DeepMind unveils Genie 4, a new generation of world model27/10/26 · Google DeepMind|Anthropic files IPO prospectus, with risk disclosures taking center stage26/10/26 · Anthropic|Robot policy trained only in simulation matches top real-world systems26/10/26|OpenAI unveils GPT-6.1 Terra, a model built for computer use26/10/26 · OpenAI|New benchmark checks whether LLMs actually test their temporal medical claims29/10/26|An ODE-based sampling method speeds up discrete diffusion models29/10/26|OpenAI revises its Model Spec with five guiding values for AI behavior29/10/26 · OpenAI|Inside Proton's internal clash over its AI pivot29/10/26 · Proton|Mistral Makes Large 4 Available as Open Weights29/10/26 · Mistral AI|Gemini 4 Carbon tops the Artificial Analysis Intelligence Index v529/10/26 · Google|Mistral Large 4 now available on Hugging Face29/10/26 · Mistral AI|Google Introduces "Gemini 4 Carbon" as Next Step in Its Model Lineup28/10/26 · Google|DeepMind unveils Genie 4, a new generation of world model27/10/26 · Google DeepMind|Anthropic files IPO prospectus, with risk disclosures taking center stage26/10/26 · Anthropic|Robot policy trained only in simulation matches top real-world systems26/10/26|OpenAI unveils GPT-6.1 Terra, a model built for computer use26/10/26 · OpenAI|New benchmark checks whether LLMs actually test their temporal medical claims29/10/26|An ODE-based sampling method speeds up discrete diffusion models29/10/26|OpenAI revises its Model Spec with five guiding values for AI behavior29/10/26 · OpenAI|Inside Proton's internal clash over its AI pivot29/10/26 · Proton|
AppRisingofficial publisher

REAL Video Enhancer

App : A product you use directly

Free interface to interpolate and upscale videos using RIFE and ESRGAN.

Simpler than Video2X for a beginner.

Official site GitHub · 2,352 ★
Overall score
9.0 /10
Security: nothing to flag
Utility
8.0
Reliability
9.0
Security
No caveat on record
Ease
1 click · Beginner

Security reflects where data goes, requested permissions and incidents on record at the verification date. It is not a guarantee of zero risk: check the deployment mode and the connections you enable.

What it does, concretely

Improving the smoothness or resolution of a video usually requires complex tools that are difficult to configure, often reserved for experienced users. REAL Video Enhancer provides an accessible graphical interface to perform these operations without any command line.

The software allows you to interpolate frames to increase the number of frames per second (for example from 24 to 48 FPS) and to upscale video resolution (for example from 1920 to 3840 pixels). It relies on well-known models such as RIFE for interpolation and Real-ESRGAN or SPAN for upscaling, and uses FFmpeg for video file handling.

The tool is aimed at people who want to enhance personal videos, animations or older content, without having to master command-line tools. It suits both beginners and intermediate users with a compatible graphics card.

However, it is not suitable for users without a sufficiently powerful graphics card: a minimum of 4 GB of VRAM is required, and optimal performance requires an Nvidia RTX GPU from the 20 series or higher with 8 GB of VRAM.

What it offers

  • ·Frame interpolation to increase video smoothness, with several available models: RIFE (versions 4.6 to 4.25), GMFSS and IFRNet.
  • ·Video resolution upscaling using models such as Real-ESRGAN, SPAN, AnimeSR and several models specialized for animation.
  • ·Automatic scene change detection to preserve sharp transitions during interpolation.
  • ·Real-time preview showing the latest rendered frame during processing.
  • ·Support for multiple inference backends: TensorRT for Nvidia RTX GPUs, PyTorch via CUDA or ROCm, and NCNN for any Vulkan 1.3 compatible GPU.
  • ·Denoising models (DRUnet, DnCNN) and H.264 compression artifact removal (DeH264) available.
  • ·Available as an executable, a Flatpak on Flathub, and on Steam.

In practice

Price
Free
Commercial use
Commercial use: yes
Available on
windows, linux
Licence
AGPL-3.0
Runs locally
Yes, 4 GB VRAM recommended
FR interface
No

Security and data

Rating
Security: nothing to flag
Your data
Data stays local
Maintenance
Active
Last release
2 January 2026

Links and repository checked on 25 October 2026 · added on 1 January 2024

How to install REAL Video Enhancer

1. Go to the project's GitHub page (https://github.com/TNTwise/REAL-Video-Enhancer) or Flathub to download the version matching your system. 2. On Windows, download the executable: if your antivirus flags it, this is a false positive caused by PyInstaller. 3. On Linux, you can install the application via Flatpak from Flathub or download the executable directly. 4. Launch the application and let it install the required dependencies (inference backends) via PIP on first startup. 5. If backend detection fails, uninstall and reinstall the application before reporting an issue.

In the same category

Whole category Video →