Fotor vs REAL Video Enhancer
Fotor
fotor.comREAL Video Enhancer
github.comSide by side
| Figure | Fotor | REAL Video Enhancer |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Plans published | 9 | 2 |
| Spec score · Video Upscaling Software | 8.5 (#10) | 8.0 (#18) |
| Support | Fotor provides a Help Center for support. | The project links to a Discord community and offers support through GitHub issues. |
Plans
Fotor
- Fotor BasicFree
- Fotor ProPriced on request
- Fotor ProPrice not published
- Fotor Pro+Priced on request
- Fotor Pro+Price not published
- BasicFree
- MaxPrice not published
- ProPrice not published
- Pro+Price not published
REAL Video Enhancer
- REAL Video EnhancerFree
- Steam donation DLC$2.99, paid once
In their own words
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.