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The app is driven through a web interface and works well alongside Sonarr and Radarr.\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Item\u003C\u002Fth>\n\u003Cth>Value\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>Platform\u003C\u002Ftd>\n\u003Ctd>Windows, macOS, Linux, Docker\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Engines\u003C\u002Ftd>\n\u003Ctd>FFmpeg, HandBrake\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Architecture\u003C\u002Ftd>\n\u003Ctd>Server + distributed Nodes\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Interface\u003C\u002Ftd>\n\u003Ctd>Web UI\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cblockquote>\n\u003Cp>Turn idle machines into a transcode cluster and normalize your video library to space-saving formats.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch2 id=\"key-features\">Key Features\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Distributed transcoding\u003C\u002Fstrong>: Server and Node are decoupled, letting multiple devices process one library in parallel\u003C\u002Fli>\n\u003Cli>\u003Cstrong>CPU\u002FGPU workers\u003C\u002Fstrong>: transcode and health-check workers each come in CPU and GPU flavors, started and stopped as needed\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Plugin stacks\u003C\u002Fstrong>: conditional plugins written in JavaScript, chained to clean up and standardize files\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Health checking\u003C\u002Fstrong>: detects corrupt video files and repairs or remuxes them automatically\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Stream cleanup\u003C\u002Fstrong>: batch removal of extra audio, subtitle, and metadata streams for better direct play\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Library analytics\u003C\u002Fstrong>: search files by hundreds of properties; track size, codec distribution, and history\u003C\u002Fli>\n\u003Cli>\u003Cstrong>24\u002F7 scheduling\u003C\u002Fstrong>: per-library rules, filters, and schedules across a 7-day, 24-hour planner\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Folder watcher\u003C\u002Fstrong>: monitored directories pick up new files automatically\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"target-audience\">Target Audience\u003C\u002Fh2>\u003Cul>\n\u003Cli>Users with large local media collections\u003C\u002Fli>\n\u003Cli>Media enthusiasts running NAS or home servers\u003C\u002Fli>\n\u003Cli>Users building libraries for Plex, Jellyfin, or Emby\u003C\u002Fli>\n\u003Cli>Tinkerers unifying video codecs and containers\u003C\u002Fli>\n\u003Cli>Owners of multiple idle PCs or GPUs\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"quick-start\">Quick Start\u003C\u002Fh2>\u003Col>\n\u003Cli>Download the server and node builds for your platform, or use the Docker image\u003C\u002Fli>\n\u003Cli>Start Tdarr Server and open the web interface in a browser\u003C\u002Fli>\n\u003Cli>Add local or remote nodes and allocate CPU\u002FGPU workers\u003C\u002Fli>\n\u003Cli>Add a library, then set transcode rules, plugin stacks, and schedules\u003C\u002Fli>\n\u003Cli>Review scan results, start processing, and track jobs in the reports view\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"core-advantages\">Core Advantages\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Space savings\u003C\u002Fstrong>: H.264 to H.265 conversion typically reduces size by 40%-50%\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Horizontal scaling\u003C\u002Fstrong>: old PCs and NAS boxes can join as nodes whenever available\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Programmable pipeline\u003C\u002Fstrong>: plugin stacks with conditions can express almost any workflow\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Battle tested\u003C\u002Fstrong>: officially tested against a dummy library of one million files\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"system-requirements\">System Requirements\u003C\u002Fh2>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>Item\u003C\u002Fth>\n\u003Cth>Requirement\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>Server\u003C\u002Ftd>\n\u003Ctd>Windows, macOS, Linux, or Docker\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Node\u003C\u002Ftd>\n\u003Ctd>Windows, Linux (incl. arm\u002Farm64), macOS\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>GPU transcode\u003C\u002Ftd>\n\u003Ctd>Intel QSV, NVIDIA NVENC, and similar hardware encoders\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>Companion tools\u003C\u002Ftd>\n\u003Ctd>optionally pairs with Sonarr, Radarr, and similar\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Ch2 id=\"notes\">Notes\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>Transcode time\u003C\u002Fstrong>: a full first pass on a large library may take days; trial rules on a small subset first\u003C\u002Fli>\n\u003Cli>\u003Cstrong>GPU setup\u003C\u002Fstrong>: hardware transcoding needs proper drivers; enable the Nvidia runtime on unRAID or Ubuntu\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Keep originals\u003C\u002Fstrong>: confirm original files are backed up before stripping streams\u003C\u002Fli>\n\u003C\u002Ful>\n",1793197866353]