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等媒体管理工具配合使用。\u003C\u002Fp>\n\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>项目\u003C\u002Fth>\n\u003Cth>内容\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>平台\u003C\u002Ftd>\n\u003Ctd>Windows、macOS、Linux、Docker\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>核心引擎\u003C\u002Ftd>\n\u003Ctd>FFmpeg、HandBrake\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>架构\u003C\u002Ftd>\n\u003Ctd>Server + 分布式 Node\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>操作方式\u003C\u002Ftd>\n\u003Ctd>Web 界面\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Cblockquote>\n\u003Cp>把闲置设备变成转码集群，批量把视频库转成更省空间的标准格式。\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch2 id=\"主要功能\">主要功能\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>分布式转码\u003C\u002Fstrong>：Server 与 Node 分离设计，多设备并行处理同一媒体库\u003C\u002Fli>\n\u003Cli>\u003Cstrong>CPU\u002FGPU 工人\u003C\u002Fstrong>：转码与健康检查各分 CPU、GPU 两类 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Web 界面\u003C\u002Fli>\n\u003Cli>在节点页添加本机或远程节点，分配 CPU\u002FGPU worker 数量\u003C\u002Fli>\n\u003Cli>添加媒体库，设置转码规则、插件栈与执行计划\u003C\u002Fli>\n\u003Cli>确认扫描结果后开始处理，在报表页跟踪任务进度\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch2 id=\"核心优势\">核心优势\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>空间节省\u003C\u002Fstrong>：H.264 转 H.265 通常可减少 40%~50% 体积\u003C\u002Fli>\n\u003Cli>\u003Cstrong>横向扩展\u003C\u002Fstrong>：旧电脑、NAS 都能挂为节点，算力随加随用\u003C\u002Fli>\n\u003Cli>\u003Cstrong>流程可编程\u003C\u002Fstrong>：插件栈加条件判断，几乎能定义任何处理逻辑\u003C\u002Fli>\n\u003Cli>\u003Cstrong>久经验证\u003C\u002Fstrong>：官方在百万文件规模的模拟库上完成过测试\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"系统要求\">系统要求\u003C\u002Fh2>\u003Ctable>\n\u003Cthead>\n\u003Ctr>\n\u003Cth>项目\u003C\u002Fth>\n\u003Cth>要求\u003C\u002Fth>\n\u003C\u002Ftr>\n\u003C\u002Fthead>\n\u003Ctbody>\u003Ctr>\n\u003Ctd>服务端\u003C\u002Ftd>\n\u003Ctd>Windows、macOS、Linux 或 Docker\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>节点\u003C\u002Ftd>\n\u003Ctd>Windows、Linux（含 arm\u002Farm64）、macOS\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>GPU 转码\u003C\u002Ftd>\n\u003Ctd>支持 Intel QSV、NVIDIA NVENC 等硬件编码器\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003Ctr>\n\u003Ctd>配套环境\u003C\u002Ftd>\n\u003Ctd>可选与 Sonarr、Radarr 等配合使用\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\u003C\u002Ftable>\n\u003Ch2 id=\"注意事项\">注意事项\u003C\u002Fh2>\u003Cul>\n\u003Cli>\u003Cstrong>转码耗时\u003C\u002Fstrong>：大库首轮全量转码可能持续数天，建议先小范围试运行规则\u003C\u002Fli>\n\u003Cli>\u003Cstrong>GPU 环境\u003C\u002Fstrong>：硬件转码需要对应驱动，unRAID 或 Ubuntu 下需启用 Nvidia 运行时\u003C\u002Fli>\n\u003Cli>\u003Cstrong>备份原始文件\u003C\u002Fstrong>：移除多余音轨字幕前先确认原始文件另有留存\u003C\u002Fli>\n\u003C\u002Ful>\n",1793197866400]