REAL Video Enhancer
github.com
What it is
REAL Video Enhancer is a free application for video interpolation, upscaling, decompression, and denoising on Linux, macOS, and Windows. Interpolation models include RIFE, GMFSS, and IFRNet; the project gives 24-to-48-FPS conversion as an example. Upscaling options include SPAN, OpenProteus, AnimeJaNai, AniSD, and AnimeSR, while DeH264 is listed for decompression and DRUnet and DnCNN for denoising. Scene-change detection helps preserve sharp transitions, and the app previews the latest rendered frame. Compute options include TensorRT for NVIDIA RTX GPUs, PyTorch for CUDA 12.6- or ROCm 6.2-capable GPUs, and NCNN for Vulkan 1.3-capable GPUs. Listed minimums include a dual-core x64 CPU, Vulkan 1.3-capable GPU, and 16 GB RAM; NCNN also requires 4 GB VRAM and 1 GB free storage. TensorRT optimization can fail with limited VRAM; CUDA or NCNN are suggested alternatives. The project is AGPL-3.0 licensed. A Steam donation DLC costs $2.99, paid once and contains no content.
Spec sheet
- Purpose
- REAL Video Enhancer provides video frame interpolation, upscaling, decompression, and denoising.Read 5 Oct 2026 · github.com
- Platforms
- The project documents Windows, Linux, and macOS support, including Ubuntu 22.04+ and macOS 15+ ARM or x86 builds.Read 5 Oct 2026 · github.com
- Support
- The project links to a Discord community and offers support through GitHub issues.Read 5 Oct 2026 · github.com
- License
- The repository identifies its license as AGPL-3.0.Read 5 Oct 2026 · github.com
- Compute backends
- TensorRT supports NVIDIA RTX GPUs, PyTorch supports CUDA 12.6 and ROCm 6.2 capable GPUs, and NCNN supports Vulkan 1.3 capable GPUs.Read 5 Oct 2026 · github.com
- Frame interpolation
- The README describes interpolation such as converting video from 24 to 48 FPS and lists RIFE, GMFSS, and IFRNet models.Read 5 Oct 2026 · github.com
- Hardware requirements
- The README gives minimum requirements of a dual-core x64 CPU, Vulkan 1.3-capable GPU, 4 GB VRAM for NCNN, 16 GB RAM, and 1 GB free storage for NCNN.Read 5 Oct 2026 · github.com
- Integration
- Discord Rich Presence is supported for the Discord system package and Discord Flatpak.Read 5 Oct 2026 · github.com
- Known constraint
- The README says TensorRT optimization can fail with limited VRAM and suggests using CUDA or NCNN instead.Read 5 Oct 2026 · github.com
- Other processing
- The project lists DeH264 decompression and DRUnet and DnCNN denoising models.Read 5 Oct 2026 · github.com
- Scene handling
- Scene change detection is included to preserve sharp transitions, and the app previews the latest rendered frame.Read 5 Oct 2026 · github.com
- Security notice
- The project warns that the Windows binary may be detected as a trojan and attributes this to a PyInstaller false positive.Read 5 Oct 2026 · github.com
- Steam purchase
- Steam lists a $2.99 donation DLC that contains no content and requires the base REAL Video Enhancer application.Read 5 Oct 2026 · store.steampowered.com
- Upscaling
- The README lists multiple upscaling models, including SPAN, OpenProteus, AnimeJaNai, AniSD, and AnimeSR.Read 5 Oct 2026 · github.com
Plans and prices
Strong points and limits
Strong points
- Free application for Windows, Linux, and macOS.
- Includes interpolation, upscaling, decompression, and denoising.
- Supports batch processing.
- Scene-change detection and latest-frame preview are included.
- Multiple compute backends are listed.
Limits
- Minimum requirements include 16 GB RAM.
- NCNN requires 4 GB VRAM and 1 GB free storage.
- TensorRT optimization can fail with limited VRAM.
- Windows binary may be flagged as a trojan.
Who it suits
It suits people seeking free video enhancement with interpolation, upscaling, decompression, denoising, or batch processing. Users should compare their hardware with the listed requirements and consider the stated TensorRT VRAM constraint.
Verdict
REAL Video Enhancer offers several video-processing tasks and model options across three desktop platforms. Check the hardware requirements, and note the project’s warning about Windows binary detection and limited-VRAM TensorRT optimization.
Where Specifiction places it
- Video Upscaling Software#18 of 408.0
- AI Video Upscalers#16 of 328.0