NextGenUp vs REAL Video Enhancer
NextGenUp
matily.orgREAL Video Enhancer
github.comSide by side
| Figure | NextGenUp | REAL Video Enhancer |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 2 | 2 |
| Spec score · AI Video Upscalers | 8.4 (#8) | 8.0 (#16) |
| Spec score · Video Upscaling Software | 8.4 (#11) | 8.0 (#18) |
Plans
REAL Video Enhancer
- REAL Video EnhancerFree
- Steam donation DLC$2.99, paid once
In their own words
NextGenUp
NextGenUp is a free tool for enlarging images and video, available as desktop software for macOS, Windows 10/11 and Linux, or as a self-hosted web app. Processing runs on the user's hardware: its models, FFmpeg and server run locally, and files are not sent to cloud processing. Images can be enlarged to 8K using Quick, Quality, Enhance or Ultra modes; video upscaling reaches 4K through basic and professional AI modes. Enhance reduces noise and blur without enlarging the image, while GFPGAN v1.4 detects faces and restores detail. Real-ESRGAN handles super-resolution. Processing uses the CPU by default and accelerates with a GPU when available. The browser app can use WebGPU on Chrome or Edge 113 and later. The software is MIT licensed and needs no subscription, watermark or account. There is no trial limit. Web files are limited to 2 GB, and older processed files are automatically removed after 24 hours. PNG is the listed output format.
REAL Video Enhancer
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.