Pixop vs REAL Video Enhancer
Pixop
pixop.comREAL Video Enhancer
github.comSide by side
| Figure | Pixop | REAL Video Enhancer |
|---|---|---|
| Price from | $0.02/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 9 | 2 |
| Spec score · Video Upscaling Software | 9.0 (#4) | 8.0 (#18) |
| Spec score · AI Video Upscalers | 9.0 (#4) | 8.0 (#16) |
| Integration | Pixop documents a Mimir integration that can submit videos, trigger processing jobs, and return job status updates and comments. | Discord Rich Presence is supported for the Discord system package and Discord Flatpak. |
| Purpose | Pixop provides machine-learning video enhancement for broadcasters, streamers, and media companies. | REAL Video Enhancer provides video frame interpolation, upscaling, decompression, and denoising. |
| Support | Pixop’s documentation directs users who need help to contact its support email. | The project links to a Discord community and offers support through GitHub issues. |
Plans
Pixop
- AWS Marketplace Pixop creditFree
- Storage$0.02 a month
- Pixop Super Resolution$0.08, paid once
- Download$0.09, paid once
- Pixop Denoiser$0.41, paid once
- Pixop Deep Restoration 2$0.49, paid once
- Pixop FILE direct billingPriced on request
- Pixop FILE via AWS MarketplacePriced on request
- Pixop PrimePriced on request
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.