Kwaflux feature

Restore old video with AI — from tape, film scans, and archives

Digitized tapes, interlaced camcorder clips, faded family films: old footage has a specific set of problems, and Kwaflux ships dedicated models for each — colorization, film-grain denoising, deinterlacing, and detail reconstruction — all processed on your own machine.

  • AI colorization for black-and-white footage
  • Film-grain denoising tuned for scanned and analog sources
  • Two-mode deinterlacing for camcorder and broadcast-era video
Download for WindowsFree 1s/3s previews — no account or credit card required

Restoration modules for archival footage

AI colorization

Adds plausible, natural color to black-and-white footage — scene-aware rather than a flat tint.

Film-grain denoise

Removes analog grain and scanner noise while preserving the underlying image texture.

Deinterlacing (2 modes)

Converts interlaced sources (the comb-teeth artifacts on old camcorder and TV footage) to clean progressive frames, with two modes to match source quality.

Detail reconstruction

The same super-resolution engine as the video upscaler, applied to recover softness and compression loss in aged transfers.

Dehaze and derain

Specialized cleanup models for weather-degraded outdoor footage.

Why old footage needs a different pipeline

Modern enhancement models are trained mostly on digital compression artifacts. Analog-era footage fails differently: interlacing, chroma bleed, tape dropouts, film grain, and fading. Running a generic enhancer on interlaced video, for example, often sharpens the comb artifacts instead of removing them. The right order matters — deinterlace first, then denoise, then reconstruct detail, then optionally colorize.

Kwaflux packages that ordering into one workflow, so a digitized VHS tape or 8mm film scan goes from import to a clean, progressive, optionally colorized master in a single tool.

What restoration honestly can and cannot do

Restoration recovers what is latent in the source — it cannot reconstruct frames that are physically destroyed or detail below the noise floor. Severely damaged sections will improve but keep some character of their age. For most home archives and broadcast-era material, the difference is nonetheless dramatic: stable, clean, watchable footage from sources people had written off.

How to restore old footage with Kwaflux

1

Digitize and import

Capture the tape or film to a digital file with whatever hardware you have, then drop it into Kwaflux — imperfect capture quality is expected.

2

Deinterlace, denoise, reconstruct

Enable deinterlacing for combed footage, film-grain denoise for analog noise, and detail reconstruction for softness. Preview 1s/3s segments to tune each pass.

3

Optionally colorize and export

For black-and-white material, add the colorization pass last, then export the restored master locally.

System requirements

GPU

DirectX 12 compatible discrete GPU (NVIDIA / AMD / Intel Arc)

NVIDIA RTX recommended for the best performance via TensorRT acceleration.

Memory

16 GB RAM or above

Keeps previews and export staging responsive under load.

Storage

Fast SSD workspace

Better for caching, temp artifacts, and larger preview sessions.

Windows 10/11 (64-bit) supported today; macOS is in development.

Frequently asked questions

Can AI colorize black-and-white video?

Yes. The colorization model infers plausible colors per scene — skin, sky, foliage, and materials — rather than applying a single tint. Results look natural on most footage, though exact historical colors cannot be guaranteed.

What is deinterlacing and do I need it?

Interlaced video stores alternating half-frames, which shows comb-teeth artifacts on modern displays. If your source came from a camcorder, VHS, or broadcast recording, you almost certainly want the deinterlacing pass first — Kwaflux offers two modes depending on source quality.

Will denoising remove real detail along with the grain?

The film-grain model is trained to separate noise patterns from image structure, so texture like fabric and foliage survives. For very heavy grain you can preview both strength settings and choose the trade-off yourself.

Can Kwaflux fix a video file that won't play at all?

That is a different problem — file corruption rather than image quality. Kwaflux includes separate file repair modules for video, image, and audio files that won't open; restoration described here applies to files that play but look degraded.

Do I need an NVIDIA GPU?

No. Kwaflux runs on any DirectX 12 compatible discrete GPU — NVIDIA, AMD, and Intel Arc are all supported. NVIDIA RTX cards get the best performance through TensorRT acceleration.

Can I try it before buying?

Yes. Download Kwaflux and render 1-second and 3-second effect previews across all AI modules without creating an account. A free account plus a paid plan unlocks 5-second previews and full export, and there is a $199.99 lifetime license if you prefer to skip subscriptions.