Aescripts Normal Scanner V1.1.57 (x64)

[Farid-Khan]

? QUICK INFO: WiN x64 | After Effects 2026, 2025, 2024 | File size: 5.3 MB

? DESCRIPTION: Video-native normal estimation for easy creation of VFX passes.

Normal Scanner for After Effects and Premiere Pro
- Rendering happens locally. Your data never leaves your machine.
- Completely C++ based for maximum stability, performance and security. No Python environments installed.
- Supports NVIDIA GPUs for hardware acceleration.

Features
The first video-based normal estimation plugin
The plugin is optimized for video processing, giving you stable normals on any footage.

Interactive Relighting
Use it together with Normality to create interactive relighting setups. The Normality plugin uses a normal and optionally a depth map pass to relight layers based on lights in the composition.

Interactive Relighting in 3D
Import the normal pass in any 3D tool to create geometry aware lighting setups.

No flickering
The resulting light pass is temporally stable!

Export to your favorite software
Creation of VFX passes has never been that easy. Use it together with Depth Scanner to create depth and normal passes.

Visualize Normal Direction
With the in-built visualization feature you can quickly understand the direction of scenes geometry.

Easy to setup
- Disable Composition -> Preview -> Cache Frames When Idle for best responsiveness of the plugin.
- Add effect to your footage. The clip is processed in chunks, so you will always have some slow frames (several seconds per frame), but all subsequent frames render super fast.
- Set the "Window Size" parameter to the highest number your GPU allows. This will improve temporal stability.

What's New
1.1.57 - May 13, 2026
Improve performance for Mercury-enabled comps.

System requirements
- Intel Pentium compatible, or newer CPU
- 8 GB RAM
- 700 MB free hard disk space for application files and installation
- 1024x768 resolution display with 16 bit (High Color) or better
- Windows 10 & newer

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? Aescripts Normal Scanner V1.1.57 (x64) (6 MB)
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