RestoraX

6.8easy start · #7 of 25
in AI Video Restoration Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you worknot on record

Runs on api, Linux, self-hosted, Web.

RestoraX is ranked #7 of 25 in AI video restoration software on The Geeks Club. It runs on API, Linux, Self-hosted, Web. There is a free plan.

RestoraX plans and pricing

All plans

RestoraX Free Open-source MIT software · self-hosted · GPU/CPU processing github.com · 3 Oct 2026

Compared on AI video restoration software

Free plan: Yes
Platform: web
Maximum upscale: 4x
Artifact removal: Yes
Frame interpolation: Yes
Face recovery: Yes

Best RestoraX alternatives

See all 12

TensorPix 0 of 4 in the starter kit Lesson 17.7 Aiarty Video Enhancer 0 of 4 in the starter kit Lesson 27.6 HitPaw VikPea 0 of 4 in the starter kit Lesson 37.3 Surveillant Forensic Video Enhancement 0 of 4 in the starter kit Lesson 46.9 Vapourkit 0 of 4 in the starter kit Lesson 56.9 Klarity 0 of 4 in the starter kit Lesson 66.8

The record

Purpose: RestoraX is an open-source AI video and audio restoration toolkit for old films, home videos, and archival footage.
Restoration models: The project describes 25 models for super-resolution, colorization, face restoration, frame interpolation, scratch and dust removal, deinterlacing, stabilization, SDR-to-HDR conversion, and audio restoration.
Pipeline builder: Its visual pipeline builder uses a DAG engine with typed ports, parallel branches, merge strategies, retry policies, and per-branch progress.
Interfaces: RestoraX provides a React web UI, a FastAPI REST API with WebSocket progress, and a command-line interface.
ComfyUI: The project describes a ComfyUI node pack as part of its platform.
Integrations: The documented stack uses Celery and Redis for background jobs, PostgreSQL or SQLite for data storage, and MinIO in the production Docker setup.
Model weights: Model weights download automatically from HuggingFace Hub on first use.
Extensibility: Third-party restorers can be added through plugins distributed as separate PyPI packages.
Deployment: The maker documents Docker Compose setups for development and production and describes the software as self-hostable.
Requirements: 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.
License: The repository is released under the MIT License, which grants use, modification, and distribution subject to its terms.
Security and compliance: The opened maker pages provide an MIT license but do not state a security certification or compliance standard.
Intended users: The README names old-film, home-video, archival-footage, anime, VHS, and newsreel restoration as use cases.
Price from: Free

Where it ranks on The Geeks Club

Best AI Video Restoration Software in 2026#7 of 25

Is RestoraX yours?

Claim it for free: prove the domain, then correct facts, plans and screenshots. An editor reviews every change.

Claim it free Promote RestoraX

Sources

github.com/karailker/restorax· checked 3 Oct 2026
github.com/karailker/restorax/blob/main/LICENSE· checked 3 Oct 2026