GitHub Trend 2 Open Source Transcoding Solutions with GPU support

[redhat]

Open Source Transcoding solutions with GPU support
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1st Solution: Unmanic

Unmanic is a simple tool for optimising your file library. You can use it to convert your files into a single, uniform format, manage file movements based on timestamps, or execute custom commands against a file based on its file size.

Simply configure Unmanic pointing it at your library and let it automatically manage that library for you.

Unmanic provides you with the following main functions:

• A scheduler built in to scan your whole library for files that do not conform to your configured file presets. Files found requiring processing are then queued.
• A file/directory monitor. When a file is modified, or a new file is added in your library, Unmanic is able to again test that against your configured file presets. Like the first function, if this file requires processing, it is added to a queue for processing.
• A handler to manage running multiple file manipulation tasks at a time.
• A Web UI to easily configure, manage and monitor the progress of your library optimisation.

You choose how you want your library to be.

Some examples of how you may use Unmanic:

• Trans-code video or audio files into a uniform format using FFmpeg.
• Identify (and remove if desired) commercials in DVR recordings shortly after they have completed being recorded.
• Move files from one location to another after a configured period of time.
• Automatically execute FileBot rename files in your library as they are added.
• Compress files older than a specified age.
• Run any custom command against files matching a certain extension or above a configured file size.

Github: https://github.com/Unmanic/unmanic
Docs: https://docs.unmanic.app/









2nd Solution: Tdarr V2

Tdarr is a conditional based transcoding application for automating media library transcode/remux management

Some common use cases:
- Transcode your videos from h264 to h265, saving 50% in file size
- Remove unwanted audio or subtitle streams in your videos
- Remove messy title metadata
- Rename files based on codec and resolution
- Health check your media files for corruption


Additional info:
- Use cross-platform Tdarr Nodes which work together with Tdarr Server to process your files
- GPU and CPU workers
- Audio and video library management
- Folder watcher
- Worker stall detector
- Load balancing between libraries/drives
- Use HandBrake or FFmpeg
- Tested on a 1,000,000 file dummy library
- Library stats
- Hardware transcoding container (install Nvidia plugin on unRAID/Nvidia runtime container on Ubuntu)

Github: https://github.com/HaveAGitGat/Tdarr
Homepage: https://home.tdarr.io/
Docs: https://docs.tdarr.io/docs/welcome/what