RestoraX

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Score6.9

Rank#4 of 25

PriceFree

Free planYes

Runs onAPI, Linux, Self-hosted, Web

Summary

RestoraX is a free, open-source toolkit for restoring old films, home videos, and archival footage with video and audio processing models. It describes 25 models covering tasks such as upscaling, colorization, face restoration, frame interpolation, scratch and dust removal, stabilization, and audio restoration. A visual pipeline builder connects processing steps through parallel branches, merge options, retries, and progress tracking. RestoraX provides a web interface, a REST API with WebSocket progress, a command-line interface, and a ComfyUI node pack. It is designed for self-hosting, with Docker Compose setups documented for development and production. Third-party restorers can be added as separate PyPI plugins, and model weights download from HuggingFace Hub on first use. The stated minimum requirements include Python 3.11, 8 GB RAM, 5 GB disk space, and FFmpeg. CPU processing is supported; CUDA 12.1 or later with at least 8 GB of GPU VRAM is recommended. The project is licensed under MIT terms.

Who it is for

RestoraX suits people restoring films, home videos, anime, VHS, or newsreel footage who are comfortable with a self-hosted toolkit. Its interfaces and pipeline builder offer different ways to work with restoration steps.

What is good

Free, open-source software under the MIT License.
Provides web, API, command-line, and ComfyUI interfaces.
Supports CPU processing.
Plugins can add third-party restorers.

What to know first

Requires Python 3.11, 8 GB RAM, and FFmpeg.
Recommended GPU setup requires CUDA 12.1 or later.
Model weights download on first use.

Verdict

RestoraX offers a broad set of restoration tasks and several ways to build and run workflows. Its stated setup requirements and self-hosted deployment make those practical considerations before use.

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: Yesgithub.com
Platform: webgithub.com
Maximum upscale: 4xgithub.com
Artifact removal: Yesgithub.com
Frame interpolation: Yesgithub.com
Face recovery: Yesgithub.com

Facts

Purpose: RestoraX is an open-source AI video and audio restoration toolkit for old films, home videos, and archival footage.github.com · 3 Oct 2026
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.github.com · 3 Oct 2026
Pipeline builder: Its visual pipeline builder uses a DAG engine with typed ports, parallel branches, merge strategies, retry policies, and per-branch progress.github.com · 3 Oct 2026
Interfaces: RestoraX provides a React web UI, a FastAPI REST API with WebSocket progress, and a command-line interface.github.com · 3 Oct 2026
ComfyUI: The project describes a ComfyUI node pack as part of its platform.github.com · 3 Oct 2026
Integrations: The documented stack uses Celery and Redis for background jobs, PostgreSQL or SQLite for data storage, and MinIO in the production Docker setup.github.com · 3 Oct 2026
Model weights: Model weights download automatically from HuggingFace Hub on first use.github.com · 3 Oct 2026
Extensibility: Third-party restorers can be added through plugins distributed as separate PyPI packages.github.com · 3 Oct 2026
Deployment: The maker documents Docker Compose setups for development and production and describes the software as self-hostable.github.com · 3 Oct 2026
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.github.com · 3 Oct 2026
License: The repository is released under the MIT License, which grants use, modification, and distribution subject to its terms.github.com · 3 Oct 2026
Security and compliance: The opened maker pages provide an MIT license but do not state a security certification or compliance standard.github.com · 3 Oct 2026
Intended users: The README names old-film, home-video, archival-footage, anime, VHS, and newsreel restoration as use cases.github.com · 3 Oct 2026