Convertarr

Convertarr is a powerful, web-based tool designed to automate the process of video conversion. It monitors your specified folders for new video files and encodes them into a more efficient format, saving you valuable storage space without sacrificing quality. With a rich web interface, you can monitor progress, view statistics, and fine-tune every aspect of the encoding process.

✨ Features

• 📊 Interactive Dashboard:

  • View live and long-term statistics on server resource usage, including CPU, Memory, and Network I/O.
  • Track the number of files in the encoding queue and files that are pre-copied for faster processing.
  • See statistics on the last scan, total files encoded, and total storage saved.

• ⚙️ Powerful Encoding Engine:

  • Choose between H.264 and the highly efficient HEVC (H.265) codec.
  • Fine-tune video quality with adjustable CRF (Constant Rate Factor) and output resolution.
  • Hardware Acceleration: Offload encoding to your GPU for significantly faster performance.
    • NVIDIA (NVENC) support.
    • AMD (VAAPI) support for Linux.
  • Control the number of CPU threads used for encoding.

• 🗂️ Folder & File Management:

  • Add and manage multiple folders for Convertarr to monitor.
  • Enable automatic periodic scanning (with configurable intervals) and scanning on startup.
  • Trigger a folder scan manually at any time from the UI.
  • Workflow Optimization: Pre-copy files to a local temp directory to speed up the encoding pipeline.

• 🔐 Security:

  • Secure your instance with optional user authentication.
  • Supports both Form-Based login and HTTP Basic Auth.
  • Easily manage user credentials.

• 📜 History & Quality Control:

  • View a detailed history of all encoded files.
  • The history table automatically refreshes to show the latest progress.
  • Image Comparison: Generate a side-by-side comparison image of the original and encoded file to easily verify quality.

🚀 Install using Docker (No Hardware Acceleration)

---
services:
  convertarr:
    image: kirari04/convertarr:latest
    container_name: convertarr
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=Etc/UTC
    volumes:
      - /path/to/data:/app/database
      - /path/to/comparisonimages:/app/img
      - /path/to/videofiles:/videofiles
    ports:
      - 8080:8080
    restart: unless-stopped

AMD GPU Acceleration (VA-API) using Docker Compose

For AMD GPU support, a special Docker image is required that includes the necessary VA-API drivers.

1. Use the custom Docker Compose file below. This points to the kirari04/convertarr:amd image and correctly configures device access.

2. Verify your Group IDs (GIDs). The group_add section is critical for permissions. Before running, verify the GIDs for the video and render groups on your host system with these commands:

   getent group video | cut -d: -f3
   getent group render | cut -d: -f3
   
   

   Update the values in the docker-compose.yml file if they are different from the defaults (44 and 992).

docker-compose.yml for AMD:

---
services:
  convertarr:
    image: kirari04/convertarr:amd
    container_name: convertarr
    restart: unless-stopped
    ports:
      - "8080:8080"
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=Etc/UTC
      # This environment variable may be needed for certain AMD GPUs.
      - ROC_ENABLE_PRE_VEGA=1
    volumes:
      # Your persistent data volumes.
      - ./data:/app/database
      - ./comparisonimages:/app/img
      - ./videofiles:/videofiles
    # Pass the GPU device from the host to the container.
    devices:
      - /dev/dri:/dev/dri
    # Add the container to the correct groups using the GIDs from your host system.
    # This grants the necessary permissions to access the GPU.
    group_add:
      - "44"  # GID for 'video'
      - "992" # GID for 'render'
    security_opt:
      - seccomp=unconfined

🔧 Configuration

Once the container is running, access the web UI at http://<your-server-ip>:8080.

1. On the first run, you will be guided through an initial setup wizard to configure your administrator user and authentication settings.
2. All further configuration, including adding media folders and tuning encoding settings, is done through the Settings page in the web UI.

🛠️ Developement

Server Application

make dev

Watch Templ

templ generate --watch

Build

docker build --platform linux/amd64 -t kirari04/convertarr:latest --push .

sudo docker buildx build  --platform linux/amd64 -t kirari04/convertarr:latest --sbom=true --provenance=true --push .

sudo docker buildx build  --platform linux/amd64 -t kirari04/convertarr:amd -f Dockerfile.amd --sbom=true --provenance=true --push .