Tdarr is a distributed media transcoding and automation system designed to manage and optimize large audio and video libraries across multiple machines. It operates through a central server and multiple worker nodes that process files in parallel, leveraging both CPU and GPU resources for efficient transcoding. The system uses FFmpeg and HandBrake to convert media files according to user-defined rules, such as codec standardization, bitrate optimization, or format compatibility. Tdarr also includes advanced features like health checks, plugin-based processing pipelines, and automated scheduling to maintain libraries continuously. Its modular design allows users to scale processing power by adding nodes on different devices, making it suitable for both personal media servers and enterprise workflows. With detailed analytics, file property searches, and customizable workflows, Tdarr provides a powerful solution for maintaining clean, efficient, and compatible media collections.
Features
- Distributed transcoding using server and worker nodes
- CPU and GPU processing for efficient media conversion
- Rule-based automation for codec and format optimization
- Plugin system for customizable processing workflows
- Media library analytics and property-based search
- Scheduling system with continuous monitoring and processing