Model driven video upscaling, denoising, and frame interpolation that rebuilds detail rather than sharpening it, with the complete model set installed locally for offline processing.
Overview
Traditional upscaling interpolates between pixels and the result looks exactly like what it is. Topaz Video AI takes a different route, using trained models to reconstruct detail that the source resolution could not hold. On archival footage, old camera formats, and compressed downloads, the difference between this and a conventional resize is not subtle.
The model set is specialised rather than general. Different models handle progressive video, interlaced broadcast material, heavily compressed sources, and computer generated animation, because each degrades differently. Choosing the right model for the footage matters more than any slider in the interface.
Frame interpolation is the second major tool. Generating intermediate frames converts material to a higher frame rate or produces convincing slow motion from footage never shot for it, with far fewer of the warping artefacts that optical flow approaches leave behind on fast motion.
Stabilisation, deinterlacing, and grain management round out the set. Everything runs locally on the graphics card with no upload step, and the whole model library is installed with the application rather than fetched per job.
Feature set
Rebuilds plausible detail during upscaling instead of interpolating between existing pixels.
Separate models for progressive, interlaced, heavily compressed, and computer generated sources.
Generates intermediate frames for higher frame rates or convincing slow motion from ordinary footage.
Full frame stabilisation with rolling shutter correction and an auto crop option.
Everything runs on the local graphics card. No footage is uploaded at any point.
Process an entire folder overnight with per-file model settings preserved.
Changes in this build
Installation
Hardware
| Processor | Intel or AMD, 64-bit, quad core or better |
|---|---|
| Memory | 16 GB minimum, 32 GB for 4K sources |
| Graphics | 8 GB VRAM minimum, 12 GB or more recommended |
| Storage | 20 GB install plus output space |
| Display | 1920 x 1080 |
| System | Windows 10 version 22H2 or Windows 11 |
Package
| Title | Topaz Video AI Pro |
|---|---|
| Version | 7.1.6 |
| Developer | Topaz Labs |
| Category | Video Editing |
| Platform | Windows 10 / 11 (64-bit) |
| Package size | 3.41 GB |
| Interface languages | English |
| Release identifier | BS-71600001 |
| Listed | 2 years ago |
| Last rebuilt | 6 days ago |
| Total downloads | 869,484 |
Questions
Check that the GPU is selected in preferences. On processor fallback the speed drops by an order of magnitude.
Match the model to the source. Compressed downloads, broadcast material, and animation each have a dedicated model.
No. All processing happens locally on the installed models.
It improves resolution, noise, and frame rate. It cannot recover detail that was never captured, such as severe focus errors.
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