Phoenix Upscaler vs RestoraX
Phoenix Upscaler
phoenixlabs.spaceRestoraX
github.comSide by side
| Figure | Phoenix Upscaler | RestoraX |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 5 | 1 |
| Spec score · AI Video Restoration Software | 8.7 (#4) | 7.5 (#20) |
| Purpose | Phoenix Upscaler restores and upscales old video, including tapes, DVDs, film scans and phone clips. | RestoraX is an open-source AI video and audio restoration toolkit for old films, home videos, and archival footage. |
| Requirements | The page lists Windows 10/11 64-bit or Linux, 8 GB RAM minimum and a modern GPU with 4 GB VRAM minimum. | The stated minimums include Python 3.11, 8 GB RAM, 5 GB disk, and FFmpeg; the page says CPU works and recommends CUDA 12.1 or later with 8 GB or more of GPU VRAM. |
Plans
Phoenix Upscaler
- Cloud Standard$2.99, paid once
- Cloud Enhanced$5.99, paid once
- Desktop app$129, paid once
- Phoenix Upscaler$129, paid once
- Cloud Studio MaxPrice not published
In their own words
Phoenix Upscaler
Phoenix Upscaler is software for restoring and enlarging older video recordings, including tapes, DVDs, film scans, and phone clips. It reduces noise, corrects interlaced motion, and rebuilds detail lost through compression. Processing can stay on your computer, without uploading video files. Standard, Enhanced, and Generative modes provide different restoration approaches, while Auto, VHS, Film, Faces, and Max presets provide starting points. MP4, MOV, MKV, and AVI are listed as supported formats. The desktop product runs on Windows and Linux; a web option is also listed. Upscaling reaches 4x, with output up to 4K, plus denoising and face recovery. The $129.00 USD once plan installs on three of your computers, removes the watermark, accepts any clip length, and includes updates. A free trial handles clips up to 60 seconds with a watermark. Cloud Restore uses datacenter GPUs and shows its per-job charge before payment.
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.