Klarity vs Pixop
Klarity
github.com
Pixop
pixop.comSide by side
| Figure | Klarity | Pixop |
|---|---|---|
| Price from | Free | $0.02/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 9 |
| Spec score · AI Video Restoration Software | 7.6 (#18) | 8.9 (#2) |
| Integrations | It uses NAFNet for denoising and deblurring, Real-HAT-GAN or Real-ESRGAN for upscaling, and RIFE for frame generation. | Official integrations include TVU MediaMesh, Mimir from Fonn Group, Fonn Group workflows and Silverdraft hardware. |
| Purpose | Klarity is a local, offline AI tool for restoring images and videos through denoising, deblurring, upscaling, and frame generation. | Pixop provides machine-learning video enhancement for broadcasters, streamers, and media companies. |
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
In their own words
Klarity
Klarity is a free desktop tool for restoring images and videos locally and offline on Linux and Windows. Its modes include denoising, deblurring, upscaling, cleaning and full restoration, along with frame generation and related clean-frame and full-frame options. It supports JPG, JPEG, PNG, BMP, TIFF, TIF and WebP images, and MP4, AVI, MOV, MKV, WebM, FLV, WMV and M4V videos. Video processing requires FFmpeg. Users can work through a graphical interface or interactive and direct command-line modes. Heavy mode downloads about 888 MB of models; Lite downloads about 204 MB and is described as 20x faster. The listed minimum requirements are a 2-core CPU, 4 GB RAM and 2 GB storage, and CPU processing works without a GPU. AI models download on first use. Klarity uses NAFNet for denoising and deblurring, Real-HAT-GAN or Real-ESRGAN for upscaling, and RIFE for frame generation. The repository lists an MIT license for Klarity and separate licenses for model components. CPU-only desktop binaries are listed for Linux x86_64 and Windows x86_64.