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Topaz Video AI Pro

Version 7.1.6Topaz Labs2.94 GBProRefreshed 5 days ago

Machine learning upscaling, denoise, deinterlace and frame interpolation for archive footage.

About this release

Topaz Video AI does one difficult thing very well: it takes footage that was shot at a resolution or frame rate that no longer fits, and rebuilds it to something usable. Old standard definition material, compressed web downloads, interlaced broadcast tape and shaky handheld footage all come out the other side substantially better than any conventional scaler could manage.

The models are trained for specific problems rather than being one general filter. There are separate models for upscaling clean digital footage, for restoring heavily compressed material, for film grain, for interlaced sources and for computer generated content. Choosing the right one matters more than any setting, and the preview compares several side by side on a section of the clip before committing.

Frame interpolation is the second major function. Footage converts between frame rates by generating intermediate frames rather than duplicating, which makes standards conversion clean, and the same engine produces convincing slow motion from material that was never shot for it.

Stabilisation and deinterlacing round out the set. The stabiliser analyses full camera motion and can either lock the frame or smooth it while preserving intentional movement, and the deinterlacer produces progressive frames without the combing artefacts that simple methods leave behind.

What it does

Task specific models
Separate trained models for compression damage, film grain, interlaced sources and clean digital footage.
Side by side preview
Compare several models on a section of the clip before committing to a full render.
Frame interpolation
Generate intermediate frames for standards conversion and convincing slow motion.
Stabilisation
Full motion analysis that can lock the frame or smooth it while keeping intentional movement.
Deinterlacing
Progressive output from broadcast sources without combing artefacts.
Batch processing
Queue a whole folder with the same settings and let it run unattended.

Changed in this version

  • New model for heavily compressed web sources.
  • Faster processing on current generation graphics cards.
  • Improved detail retention on faces at high upscale factors.
  • Preview comparison reworked to show more models at once.
  • Better memory handling on long clips.

System requirements

ProcessorQuad core, 3 GHz or faster
Memory16 GB minimum, 32 GB recommended
GraphicsGPU with 8 GB of dedicated memory, this determines processing speed
Disk20 GB plus output storage, which is large at high resolutions
Display1920 by 1080 or higher

Install order

  1. Unpack the archive.
  2. Update the graphics driver before first launch.
  3. Run the installer and let the model files unpack completely.
  4. Process a short test section before committing a long clip to a full render.

Worth knowing before you start

Graphics card memory is the main constraint, and processing is slow without a capable card.

Output files at high resolution are very large, so check free space before a batch.

File details

TitleTopaz Video AI Pro
Version7.1.6
PublisherTopaz Labs
SectionVideo and Motion
EditionPro
Size on disk2.94 GB
PlatformWindows 11, Windows 10
Architecture64 bit
LanguagesEnglish
Mirrors carrying it6
Added to the library1 year ago
Last refreshed5 days ago