Grass Valley EDIUS 9 XRE Transcoder Software

The Grass Valley EDIUS 9 XRE Transcoder Software is a top - notch standalone conversion solution. Ideal for broadcasters and media companies, it automates media file transcoding using watch folders that can be placed anywhere on a network. This transcoding is fully optimized for the host machine, often faster than real - time. Key features include a purpose - built transcoding system with powerful EDIUS NLE format support. It can work with EDIUS and third - party NLEs. The watch folder functionality and job monitor make job management a breeze. It can process two jobs at once and multiple transcoders can work in parallel. There's a new 'Effect Template' feature for applying effects during transcoding. It can also conform/render EDIUS projects. It supports a wide range of codecs like H.264, H.265, etc., and an SDK is available for third - party integration. It can convert audio and perform audio normalization. Technical specs cover supported file formats (video like AVCHD, AVI and audio like AAC, AIFF), codecs, simultaneous and parallel processing, and Ethernet networking.

Using the Grass Valley EDIUS 9 XRE Transcoder Software is easy. First, set up your watch folders on the network wherever you like. The software will automatically start transcoding media files placed in these folders. When creating watch folders and managing jobs, use the job monitor. It gives you a clear view of what's going on. You can process two jobs at the same time, or use multiple transcoders to work on several jobs in parallel. If you want to add effects to your clips during transcoding, just use the 'Effect Template' feature. To conform or render EDIUS projects, simply use the relevant function. When it comes to file formats and codecs, make sure the media files you want to process are in the supported ones listed in the technical specifications. As for maintenance, keep your software updated to ensure it runs smoothly. Also, make sure your network connection via Ethernet is stable. Avoid overloading the system with too many jobs at once to prevent any performance issues.