DRS Nova vs RestoraX
DRS Nova
mtifilm.comRestoraX
github.comSide by side
| Figure | DRS Nova | RestoraX |
|---|---|---|
| Price from | $241.67/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · AI Video Restoration Software | 8.8 (#3) | 7.5 (#20) |
| Intended users | MTI Film describes its restoration and workflow software as used by studios, productions, post houses, and film archives around the globe. | The README names old-film, home-video, archival-footage, anime, VHS, and newsreel restoration as use cases. |
| Purpose | DRS Nova is digital film restoration software for production-grade automated, manual, and generative AI restoration workflows. | RestoraX is an open-source AI video and audio restoration toolkit for old films, home videos, and archival footage. |
Plans
DRS Nova
- Monthly$1,295 a month
- Annual upgrades & support — multi-seat license$2,900 a year
- Annual upgrades & support — single license$3,500 a year
- Permanent$14,750, paid once
In their own words
RestoraX
RestoraX is a free, open-source toolkit for restoring old films, home videos, and archival footage, as well as anime, VHS, and newsreels. It describes 25 models for tasks including super-resolution, colorization, face restoration, frame interpolation, scratch and dust removal, deinterlacing, stabilization, SDR-to-HDR conversion, and audio restoration. A visual pipeline builder connects processing steps in a DAG, with typed ports, parallel branches, merge strategies, retry policies, and per-branch progress. RestoraX provides a React web interface, a FastAPI REST API with WebSocket progress, a command-line interface, and a ComfyUI node pack. It is self-hostable, with Docker Compose configurations documented for development and production. Third-party restorers can be added through separate PyPI plugins. Model weights download from HuggingFace Hub on first use. The stated minimums are Python 3.11, 8 GB RAM, 5 GB disk, and FFmpeg; CPU works, while CUDA 12.1 or later with at least 8 GB GPU VRAM is recommended. It is released under the MIT License.