HaveAGitGat/Tdarr
1
0
Fork 0
mirror of https://github.com/HaveAGitGat/Tdarr.git synced 2025-12-10 10:11:13 -06:00
Code Issues Packages Projects Releases 17 Wiki Activity

Remove links, update desc

Browse Source
This commit is contained in:
HaveAGitGat 2022-01-11 06:33:53 +00:00
parent a703b4cecd
commit 43baf2ec19
1 changed files with 2 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
README.md
View File

@ -8,9 +8,8 @@ Audio/Video Library Analytics & Transcode/Remux Automation
- FFmpeg/HandBrake + video health checking (Windows, macOS, Linux & Docker)
[![Reddit](https://img.shields.io/badge/Reddit-Tdarr-orange)](https://www.reddit.com/r/Tdarr/)[![Discord](https://img.shields.io/badge/Discord-Chat-green.svg)](https://discord.gg/GF8X8cq) [![paypal](https://img.shields.io/badge/-donate-green.svg)](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=L5MWTNDLLB6AC&source=url)
[![Reddit](https://img.shields.io/badge/Reddit-Tdarr-orange)](https://www.reddit.com/r/Tdarr/)[![Discord](https://img.shields.io/badge/Discord-Chat-green.svg)](https://discord.gg/GF8X8cq)
[![patreon](https://img.shields.io/badge/patreon-support-brightgreen.svg)](https://www.patreon.com/Tdarr)
<h2>
<a href="https://tdarr.io/docs/installation" target="_blank">Setup/Installation</a>
@ -19,7 +18,7 @@ Audio/Video Library Analytics & Transcode/Remux Automation
<h2>About:</h2>
Tdarr V2 is a closed-source distributed transcoding system for automating media library transcode/remux management and making sure your files are exactly how you need them to be in terms of codecs/streams/containers and so on. Put your spare hardware to use with Tdarr Nodes for Windows, Linux (including Linux arm) and macOS. Code in this repository is for Tdarr V1.
Tdarr V2 is a closed-source distributed transcoding system for automating media library transcode/remux management and making sure your files are exactly how you need them to be in terms of codecs/streams/containers and so on. Put your spare hardware to use with Tdarr Nodes for Windows, Linux (including Linux arm) and macOS.
Designed to work alongside applications like Sonarr/Radarr and built with the aim of modularisation, parallelisation and scalability, each library you add has its own transcode settings, filters and schedule. Workers can be fired up and closed down as necessary, and are split into 4 types - Transcode CPU/GPU and Health Check CPU/GPU. Worker limits can be managed by the scheduler as well as manually. For a desktop application with similar functionality please see [HBBatchBeast](https://github.com/HaveAGitGat/HBBatchBeast).