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wiki/service-docs/tdarr.md
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# Tdarr - Transcoding Automation
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## Table of Contents
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- [Overview](#overview)
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- [What is Tdarr?](#what-is-tdarr)
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- [Why Use Tdarr?](#why-use-tdarr)
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- [How It Works](#how-it-works)
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- [Configuration in AI-Homelab](#configuration-in-ai-homelab)
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- [Official Resources](#official-resources)
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- [Educational Resources](#educational-resources)
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- [Docker Configuration](#docker-configuration)
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- [Initial Setup](#initial-setup)
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- [Advanced Topics](#advanced-topics)
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- [Troubleshooting](#troubleshooting)
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## Overview
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**Category:** Media Transcoding
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**Docker Image:** [ghcr.io/haveagitgat/tdarr](https://github.com/HaveAGitGat/Tdarr/pkgs/container/tdarr)
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**Default Stack:** `media-extended.yml`
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**Web UI:** `https://tdarr.${DOMAIN}` or `http://SERVER_IP:8265`
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**Server Port:** 8266
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**Authentication:** Built-in
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**Ports:** 8265 (WebUI), 8266 (Server)
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## What is Tdarr?
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Tdarr is a distributed transcoding system for automating media library transcoding/remuxing management. It can convert your entire media library to specific codecs (like H.265/HEVC), formats, or remove unwanted audio/subtitle tracks - all automatically. It uses a plugin system with hundreds of pre-made plugins for common tasks, supports hardware acceleration, and can run transcoding across multiple nodes.
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### Key Features
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- **Distributed Transcoding:** Multiple worker nodes
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- **Plugin System:** 500+ pre-made plugins
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- **Hardware Acceleration:** NVIDIA, Intel QSV, AMD
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- **Health Checks:** Identify corrupted files
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- **Codec Conversion:** H.264 → H.265, VP9, AV1
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- **Audio/Subtitle Management:** Remove unwanted tracks
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- **Container Remux:** MKV → MP4, etc.
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- **Scheduling:** Transcode during specific hours
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- **Library Statistics:** Codec breakdown, space usage
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- **Web UI:** Modern interface with dark mode
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## Why Use Tdarr?
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1. **Space Savings:** H.265 saves 30-50% vs H.264
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2. **Standardization:** Consistent codec across library
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3. **Compatibility:** Convert to Plex/Jellyfin-friendly formats
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4. **Cleanup:** Remove unwanted audio/subtitle tracks
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5. **Quality Control:** Health checks detect corruption
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6. **Automation:** Set it and forget it
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7. **Hardware Acceleration:** Fast transcoding with GPU
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8. **Distributed:** Use multiple machines
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9. **Free & Open Source:** No cost
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10. **Flexible:** Plugin system for any workflow
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## How It Works
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```
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Tdarr Scans Media Library
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↓
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Analyzes Each File
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(Codec, resolution, audio tracks, etc.)
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↓
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Compares Against Rules/Plugins
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↓
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Files Needing Transcoding → Queue
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↓
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Worker Nodes Process Queue
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(Using CPU or GPU)
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↓
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Transcoded File Created
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↓
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Replaces Original (or saves alongside)
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↓
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Library Updated
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```
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### Architecture
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**Tdarr Server:**
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- Central management
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- Web UI
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- Library scanning
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- Queue management
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**Tdarr Node:**
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- Worker process
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- Performs transcoding
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- Can run on same or different machine
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- Multiple nodes supported
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## Configuration in AI-Homelab
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### Directory Structure
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```
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/opt/stacks/media-management/tdarr/
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├── server/ # Tdarr server data
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├── config/ # Configuration
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├── logs/ # Logs
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└── temp/ # Temporary transcoding files
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/mnt/media/ # Media libraries (shared)
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├── movies/
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└── tv/
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```
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### Environment Variables
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```bash
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# Server
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serverIP=0.0.0.0
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serverPort=8266
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webUIPort=8265
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# User permissions
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PUID=1000
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PGID=1000
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# Timezone
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TZ=America/New_York
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# Hardware acceleration (optional)
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# NVIDIA_VISIBLE_DEVICES=all
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```
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## Official Resources
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- **Website:** https://tdarr.io
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- **Documentation:** https://docs.tdarr.io
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- **GitHub:** https://github.com/HaveAGitGat/Tdarr
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- **Discord:** https://discord.gg/GF8Chh3
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- **Forum:** https://www.reddit.com/r/Tdarr
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- **Plugins:** https://github.com/HaveAGitGat/Tdarr_Plugins
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## Educational Resources
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### Videos
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- [Tdarr Setup Guide](https://www.youtube.com/results?search_query=tdarr+setup+guide)
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- [Tdarr H.265 Conversion](https://www.youtube.com/results?search_query=tdarr+h265+conversion)
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- [Tdarr Hardware Transcoding](https://www.youtube.com/results?search_query=tdarr+hardware+acceleration)
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### Articles & Guides
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- [Official Documentation](https://docs.tdarr.io)
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- [Plugin Library](https://github.com/HaveAGitGat/Tdarr_Plugins)
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- [Best Practices](https://docs.tdarr.io/docs/tutorials/best-practices)
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### Concepts to Learn
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- **Transcoding:** Converting video codecs
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- **Remuxing:** Changing container without re-encoding
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- **H.265/HEVC:** Modern codec, better compression
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- **Hardware Encoding:** GPU-accelerated transcoding
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- **Bitrate:** Video quality measurement
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- **CRF:** Constant Rate Factor (quality setting)
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- **Streams:** Video, audio, subtitle tracks
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## Docker Configuration
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### Complete Service Definition
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```yaml
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tdarr:
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image: ghcr.io/haveagitgat/tdarr:latest
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container_name: tdarr
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restart: unless-stopped
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networks:
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- traefik-network
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ports:
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- "8265:8265" # WebUI
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- "8266:8266" # Server
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environment:
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- serverIP=0.0.0.0
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- serverPort=8266
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- webUIPort=8265
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- PUID=1000
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- PGID=1000
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- TZ=America/New_York
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volumes:
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- /opt/stacks/media-management/tdarr/server:/app/server
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- /opt/stacks/media-management/tdarr/config:/app/configs
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- /opt/stacks/media-management/tdarr/logs:/app/logs
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- /opt/stacks/media-management/tdarr/temp:/temp
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- /mnt/media:/media
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devices:
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- /dev/dri:/dev/dri # Intel QuickSync
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labels:
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- "traefik.enable=true"
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- "traefik.http.routers.tdarr.rule=Host(`tdarr.${DOMAIN}`)"
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- "traefik.http.routers.tdarr.entrypoints=websecure"
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- "traefik.http.routers.tdarr.tls.certresolver=letsencrypt"
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- "traefik.http.routers.tdarr.middlewares=authelia@docker"
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- "traefik.http.services.tdarr.loadbalancer.server.port=8265"
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```
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### With NVIDIA GPU
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```yaml
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tdarr:
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image: ghcr.io/haveagitgat/tdarr:latest
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container_name: tdarr
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runtime: nvidia
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environment:
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- NVIDIA_VISIBLE_DEVICES=all
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- NVIDIA_DRIVER_CAPABILITIES=compute,video,utility
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# ... rest of config
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```
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### Tdarr Node (Worker)
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```yaml
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tdarr-node:
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image: ghcr.io/haveagitgat/tdarr_node:latest
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container_name: tdarr-node
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restart: unless-stopped
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network_mode: service:tdarr
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environment:
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- nodeName=MainNode
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- serverIP=0.0.0.0
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- serverPort=8266
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- PUID=1000
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- PGID=1000
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volumes:
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- /opt/stacks/media-management/tdarr/config:/app/configs
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- /opt/stacks/media-management/tdarr/logs:/app/logs
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- /opt/stacks/media-management/tdarr/temp:/temp
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- /mnt/media:/media
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devices:
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- /dev/dri:/dev/dri
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```
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## Initial Setup
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### First Access
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1. **Start Containers:**
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```bash
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docker compose up -d tdarr tdarr-node
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```
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2. **Access Web UI:**
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- Local: `http://SERVER_IP:8265`
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- Domain: `https://tdarr.yourdomain.com`
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3. **Initial Configuration:**
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- Add libraries
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- Configure node
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- Install plugins
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- Create flows
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### Add Library
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**Libraries Tab → Add Library:**
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1. **Name:** Movies
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2. **Source:** `/media/movies`
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3. **Folder watch:** ✓ Enable
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4. **Priority:** Normal
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5. **Schedule:** Always (or specific hours)
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6. **Save**
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**Repeat for TV Shows:**
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- Name: TV Shows
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- Source: `/media/tv`
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### Configure Node
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**Nodes Tab:**
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**Built-in Node:**
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- Should appear automatically
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- Named "MainNode" (from docker config)
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- Shows as "Online"
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**Node Settings:**
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- Transcode GPU: 1 (if GPU available)
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- Transcode CPU: 2-4 (CPU threads)
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- Health Check GPU: 0
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- Health Check CPU: 1
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**Hardware Acceleration:**
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- CPU Only: Use CPU workers
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- NVIDIA: Select "NVENC" codec in plugins
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- Intel QSV: Select "QSV" codec
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- Prioritize GPU for best performance
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### Install Plugins
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**Plugins Tab → Community:**
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**Essential Plugins:**
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1. **Migz-Transcode using Nvidia GPU & FFMPEG**
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- NVIDIA hardware transcoding
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- H.264 → H.265
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2. **Migz-Transcode using CPU & FFMPEG**
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- CPU-based transcoding
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- Fallback for non-GPU
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3. **Remux Container to MKV**
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- Convert to MKV without re-encoding
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4. **Remove All Subtitle Streams**
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- Clean unwanted subtitles
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5. **Remove Non-English Audio Streams**
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- Keep only English audio
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**Install:**
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- Click "+" to install plugin
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- Shows in "Local" tab when installed
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### Create Flow
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**Flows Tab → Add Flow:**
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**Example: Convert to H.265**
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1. **Flow Name:** H.265 Conversion
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2. **Add Step:**
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- Plugin: Migz-Transcode using Nvidia GPU & FFMPEG
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- Target Codec: hevc (H.265)
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- CRF: 23 (quality)
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- Resolution: Keep original
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- Audio: Copy (no transcode)
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- Subtitles: Copy
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3. **Save Flow**
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**Assign to Library:**
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- Libraries → Movies → Transcode Options
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- Flow: H.265 Conversion
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- Save
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### Start Processing
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**Dashboard:**
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- View queue
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- Processing status
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- Completed/Failed counts
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- Library statistics
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**Start Transcoding:**
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- Automatically starts based on schedule
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- Monitor progress in real-time
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## Advanced Topics
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### Custom Plugins
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**Create Custom Plugin:**
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**Plugins Tab → Local → Create Plugin:**
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```javascript
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function details() {
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return {
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id: "Custom_H265",
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Stage: "Pre-processing",
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Name: "Custom H.265 Conversion",
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Type: "Video",
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Operation: "Transcode",
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Description: "Custom H.265 conversion with specific settings",
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Version: "1.0",
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Tags: "video,h265,nvenc",
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};
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}
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function plugin(file, librarySettings, inputs, otherArguments) {
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var response = {
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processFile: false,
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preset: "",
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handBrakeMode: false,
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FFmpegMode: true,
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reQueueAfter: true,
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infoLog: "",
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};
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if (file.video_codec_name === "hevc") {
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response.infoLog += "File already H.265 ☑\n";
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response.processFile = false;
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return response;
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}
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response.processFile = true;
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response.preset = "-c:v hevc_nvenc -crf 23 -c:a copy -c:s copy";
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response.infoLog += "Transcoding to H.265 with NVENC\n";
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return response;
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}
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module.exports.details = details;
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module.exports.plugin = plugin;
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```
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**Use Cases:**
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- Specific quality settings
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- Custom audio handling
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- Conditional transcoding
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- Advanced workflows
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### Flow Conditions
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**Add Conditions to Flows:**
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**Example: Only transcode if > 1080p**
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- Add condition: Resolution > 1920x1080
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- Then: Transcode to 1080p
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- Else: Skip
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**Example: Only if file size > 5GB**
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- Condition: File size check
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- Large files get transcoded
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- Small files skipped
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### Scheduling
|
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**Library Settings → Schedule:**
|
||||
|
||||
**Transcode Schedule:**
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||||
- All day: 24/7 transcoding
|
||||
- Night only: 10PM - 6AM
|
||||
- Custom hours: Define specific times
|
||||
|
||||
**Use Cases:**
|
||||
- Transcode during off-hours
|
||||
- Avoid peak usage times
|
||||
- Save electricity costs
|
||||
|
||||
### Health Checks
|
||||
|
||||
**Detect Corrupted Files:**
|
||||
|
||||
**Libraries → Settings → Health Check:**
|
||||
- ✓ Enable health check
|
||||
- Check for: Video errors, audio errors
|
||||
- Workers: 1-2 CPU workers
|
||||
|
||||
**Health Check Flow:**
|
||||
- Scans files for corruption
|
||||
- Marks unhealthy files
|
||||
- Option to quarantine or delete
|
||||
|
||||
### Statistics
|
||||
|
||||
**Dashboard → Statistics:**
|
||||
|
||||
**Library Stats:**
|
||||
- Total files
|
||||
- Codec breakdown (H.264 vs H.265)
|
||||
- Total size
|
||||
- Space savings potential
|
||||
|
||||
**Processing Stats:**
|
||||
- Files processed
|
||||
- Success rate
|
||||
- Average processing time
|
||||
- Queue size
|
||||
|
||||
### Multiple Libraries
|
||||
|
||||
**Separate libraries for:**
|
||||
- Movies
|
||||
- TV Shows
|
||||
- 4K Content
|
||||
- Different quality tiers
|
||||
|
||||
**Benefits:**
|
||||
- Different flows per library
|
||||
- Prioritization
|
||||
- Separate schedules
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Tdarr Not Transcoding
|
||||
|
||||
```bash
|
||||
# Check node status
|
||||
# Nodes tab → Should show "Online"
|
||||
|
||||
# Check queue
|
||||
# Dashboard → Should show items
|
||||
|
||||
# Check workers
|
||||
# Nodes → Workers should be > 0
|
||||
|
||||
# Check logs
|
||||
docker logs tdarr
|
||||
docker logs tdarr-node
|
||||
|
||||
# Common issues:
|
||||
# - No workers configured
|
||||
# - Library not assigned to flow
|
||||
# - Schedule disabled
|
||||
# - Temp directory full
|
||||
```
|
||||
|
||||
### Transcoding Fails
|
||||
|
||||
```bash
|
||||
# Check logs
|
||||
docker logs tdarr-node | tail -50
|
||||
|
||||
# Check temp directory space
|
||||
df -h /opt/stacks/media-management/tdarr/temp/
|
||||
|
||||
# Check FFmpeg
|
||||
docker exec tdarr-node ffmpeg -version
|
||||
|
||||
# Check hardware acceleration
|
||||
# GPU not detected → use CPU plugins
|
||||
|
||||
# Check file permissions
|
||||
ls -la /mnt/media/movies/
|
||||
```
|
||||
|
||||
### High CPU/GPU Usage
|
||||
|
||||
```bash
|
||||
# Check worker count
|
||||
# Nodes → Reduce workers if too high
|
||||
|
||||
# Monitor resources
|
||||
docker stats tdarr tdarr-node
|
||||
|
||||
# Limit workers:
|
||||
# - GPU: 1-2
|
||||
# - CPU: 2-4 (depending on cores)
|
||||
|
||||
# Schedule during off-hours
|
||||
# Libraries → Schedule → Night only
|
||||
```
|
||||
|
||||
### Slow Transcoding
|
||||
|
||||
```bash
|
||||
# Enable hardware acceleration
|
||||
# Use NVENC/QSV plugins instead of CPU
|
||||
|
||||
# Reduce quality
|
||||
# CRF 28 faster than CRF 18
|
||||
|
||||
# Increase workers (if resources available)
|
||||
|
||||
# Use faster preset
|
||||
# Plugin settings → Preset: fast/faster
|
||||
|
||||
# Check disk I/O
|
||||
# Fast NVMe for temp directory improves speed
|
||||
```
|
||||
|
||||
### Files Not Replacing Originals
|
||||
|
||||
```bash
|
||||
# Check flow settings
|
||||
# Flow → Output → Replace original: ✓
|
||||
|
||||
# Check permissions
|
||||
ls -la /mnt/media/
|
||||
|
||||
# Check temp directory
|
||||
ls -la /opt/stacks/media-management/tdarr/temp/
|
||||
|
||||
# Check logs for errors
|
||||
docker logs tdarr-node | grep -i error
|
||||
```
|
||||
|
||||
## Performance Optimization
|
||||
|
||||
### Hardware Acceleration
|
||||
|
||||
**Best Performance:**
|
||||
1. NVIDIA GPU (NVENC)
|
||||
2. Intel QuickSync (QSV)
|
||||
3. AMD GPU
|
||||
4. CPU (slowest)
|
||||
|
||||
**Settings:**
|
||||
- GPU workers: 1-2
|
||||
- Quality: CRF 23-28
|
||||
- Preset: medium/fast
|
||||
|
||||
### Temp Directory
|
||||
|
||||
**Use Fast Storage:**
|
||||
```yaml
|
||||
volumes:
|
||||
- /path/to/fast/nvme:/temp
|
||||
```
|
||||
|
||||
**Or RAM disk:**
|
||||
```yaml
|
||||
volumes:
|
||||
- /dev/shm:/temp
|
||||
```
|
||||
|
||||
**Benefits:**
|
||||
- Faster read/write
|
||||
- Reduced wear on HDDs
|
||||
|
||||
### Worker Optimization
|
||||
|
||||
**Recommendations:**
|
||||
- Transcode GPU: 1-2
|
||||
- Transcode CPU: 50-75% of cores
|
||||
- Health Check: 1 CPU worker
|
||||
|
||||
**Don't Overload:**
|
||||
- System needs resources for other services
|
||||
- Leave headroom
|
||||
|
||||
## Security Best Practices
|
||||
|
||||
1. **Reverse Proxy:** Use Traefik + Authelia
|
||||
2. **Read-Only Media:** Use separate temp directory
|
||||
3. **Backup Before Bulk Operations:** Test on small set first
|
||||
4. **Regular Backups:** Original files until verified
|
||||
5. **Monitor Disk Space:** Transcoding needs 2x file size temporarily
|
||||
6. **Limit Access:** Keep UI secured
|
||||
7. **Regular Updates:** Keep Tdarr current
|
||||
|
||||
## Backup Strategy
|
||||
|
||||
**Before Transcoding:**
|
||||
- Test on small library subset
|
||||
- Verify quality before bulk processing
|
||||
- Keep original files until verified
|
||||
|
||||
**Critical Files:**
|
||||
```bash
|
||||
/opt/stacks/media-management/tdarr/server/ # Database
|
||||
/opt/stacks/media-management/tdarr/config/ # Configuration
|
||||
```
|
||||
|
||||
**Backup Script:**
|
||||
```bash
|
||||
#!/bin/bash
|
||||
DATE=$(date +%Y%m%d)
|
||||
BACKUP_DIR=/opt/backups/tdarr
|
||||
|
||||
tar -czf $BACKUP_DIR/tdarr-$DATE.tar.gz \
|
||||
/opt/stacks/media-management/tdarr/server/ \
|
||||
/opt/stacks/media-management/tdarr/config/
|
||||
|
||||
find $BACKUP_DIR -name "tdarr-*.tar.gz" -mtime +7 -delete
|
||||
```
|
||||
|
||||
## Integration with Other Services
|
||||
|
||||
### Tdarr + Plex/Jellyfin
|
||||
- Transcode to compatible codecs
|
||||
- Reduce Plex transcoding load
|
||||
- Optimize library for direct play
|
||||
|
||||
### Tdarr + Sonarr/Radarr
|
||||
- Process new downloads automatically
|
||||
- Standard quality across library
|
||||
|
||||
## Summary
|
||||
|
||||
Tdarr is the transcoding automation system offering:
|
||||
- Distributed transcoding
|
||||
- H.265 space savings
|
||||
- Hardware acceleration
|
||||
- 500+ plugins
|
||||
- Flexible workflows
|
||||
- Health checking
|
||||
- Free and open-source
|
||||
|
||||
**Perfect for:**
|
||||
- Large media libraries
|
||||
- Space optimization (H.265)
|
||||
- Library standardization
|
||||
- Quality control
|
||||
- Hardware acceleration users
|
||||
|
||||
**Key Points:**
|
||||
- Use GPU for best performance
|
||||
- CRF 23 good balance
|
||||
- Test on small set first
|
||||
- Monitor disk space
|
||||
- Fast temp directory helps
|
||||
- Schedule during off-hours
|
||||
- Backup before bulk operations
|
||||
|
||||
**Remember:**
|
||||
- Transcoding is lossy (quality loss)
|
||||
- Keep originals until verified
|
||||
- H.265 saves 30-50% space
|
||||
- Hardware acceleration essential
|
||||
- Can take days for large libraries
|
||||
- Test plugins before bulk use
|
||||
|
||||
Tdarr automates your entire library transcoding workflow!
|
||||
Reference in New Issue
Block a user