Compressor 4.6.2 [Intel, Apple] [TNT]
Release year : 2022
Version : 4.6.2
Developer : Apple Developer
website : https://www.apple.com/final-cut-pro/compressor/
Platform : Intel/Apple Silicon Universal
Interface language : English
Tablet : The program has been cured (not requires data entry / enter any data)
System requirements :
- Apple macOS X Apple macOS X 11.5.1 or later
- 4GB RAM (8GB recommended for 4K)
- 256 MB VRAM (1 GB recommended for 4K)
- Video cards with Metal support
- 3.2 GB free disk space
Size: 337.7 MB
Description :Compressor integrates tightly with Final Cut Pro to add custom output options, distributed encoding, and advanced delivery features. With support for 360° video, HDR, HEVC and MXF, it’s the most powerful and flexible way to export Final Cut Pro projects.
The sleek interface matches Final Cut Pro and makes it easy to navigate compression projects. View the encoding settings on the left sidebar and open the inspector to quickly set advanced audio and video properties. Your batch appears in the center, right below a large viewer that lets you view and navigate the file.
Compressor uses a rendering engine with Final Cut Pro and Motion to deliver consistent speed and quality across applications. It uses hardware encoders for H.264 and HEVC, spreads work across multiple CPU cores on your Mac, and uses the high-speed GPU on your graphics card to speed up image processing tasks.
Whether you’re tweaking an existing Compressor setting in Final Cut Pro or creating an entirely new one, you can share the results with other Final Cut Pro editors, even if they don’t have Compressor installed on their systems. You can also create assignments that combine an encoding option with a post-encode action to automate tasks such as emailing, copying and moving files, or running a custom script.
The distributed encoding functions are part of Compressor, without the need for a separate application. Simply install Compressor on any Mac on your network and activate it as a cluster node for distributed encoding.
Encode jobs without special hardware using pre-configured groups of Macs on your network. The Shared Computers feature sets up clusters of encoding nodes based on the availability of assigned computers. It can even use idle processor cores on a single computer, using the full processing power of multi-core systems.