AI Video Quality Repair — without uploading a frame

Quality-repair focus areas

Compression cleanup

Softens blockiness and mosquito noise from hard re-encodes and social downloads.

Denoise / grain control

Reduces steady noise and grain while trying to keep underlying texture.

Softness recovery

Pairs with detail reconstruction when the source is playable but muddy.

When AI Video Quality Repair is the right intent

Not every bad-looking file is “old tape.” Many are modern encodes that were crushed for chat apps or multi-generation exports. AI Video Quality Repair targets that “make this messy encode look cleaner” job without pretending the camera captured more than it did.

If the source is analog-era (interlace, faded film, VHS), start on the Restore Old Video workflow; you can still chain quality passes afterward.

Local iteration beats upload loops

Cleanup is iterative: try a strength, preview, adjust. Doing that in the cloud means re-uploading. Locally, 1s/3s/5s previews land on your GPU so you can decide before a full export.

Creators who finish client interviews, screen recordings, or multi-generation social exports usually need both cleanup and sizing. AI Video Quality Repair first removes the worst encode damage; super-resolution or AI Video Enhancer then grows the canvas without amplifying blocks and mosquito noise quite as aggressively.

How to repair quality in KwaFlux

1. 01

   Import and diagnose

   Decide whether the pain is compression, noise, softness, or age-specific damage.

2. 02

   Enable repair passes and preview

   Turn on the relevant cleanup models and check a free short preview on the worst section of the clip.

3. 03

   Optionally upscale, then export

   If you also need a larger canvas, chain super-resolution / AI Video Enhancer after cleanup, then export locally.

System requirements

Operating system

Windows 10 (64-bit, 1809+) or Windows 11

macOS build coming — planned minimum macOS 13 or newer (Apple Silicon and Intel).

GPU

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

NVIDIA RTX recommended — TensorRT acceleration is available on RTX. macOS GPU requirements will ship with the Mac build.

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 (64-bit, 1809+) or Windows 11 today; macOS coming — planned minimum macOS 13+.

Frequently Asked Questions

What does AI Video Quality Repair fix?

Typical targets include compression blocks, noise, and mild softness from transfers or re-encodes. It cannot invent detail that was never captured.

Is this the same as restoring old videotape?

Related. “Restore Old Video” focuses on aged transfers; AI Video Quality Repair is the broader “make this messy encode look cleaner” intent. Use the module that matches your source.

Do I need an account to preview?

Effect previews (1s, 3s, and 5s) are free and need no account — enter a workspace and run them straight after install. Export and conversion require signing in with a paid plan; see pricing.

Is macOS supported?

macOS support is in development. Windows builds are available on the download page today.

Is my footage uploaded to the cloud?

No. The AI processing runs on your own GPU and your media files are not uploaded — there is no queue and no per-minute cloud fee. The network is used only for sign-in and license checks (needed to export on a paid plan) and for updates.