Automatic Ripping Machine (ARM) v3

Insert a Blu-ray, DVD, or CD and ARM identifies it, rips it, and (for video) transcodes it into a Plex/Jellyfin-friendly library — headless, driven from a web UI, one job per optical drive in parallel.

This is the wiki for ARM v3, a greenfield rebuild. It shares nothing with the legacy v2 codebase: v3 is a multi-service Docker stack — a FastAPI backend, a SvelteKit UI, Postgres, one ripper container per optical drive, and an ephemeral transcoder spawned per job. There are no native (non-Docker) installs in v3 and no arm.yaml — you install with a one-line script and configure from the UI.

ARM v2 is frozen and no longer developed. If you are running a native/apt install or editing arm.yaml, you are on v2 — its documentation lives in the pre-cutover git history, not here.

New here? Start with Getting Started

The short version:

curl -fsSL https://raw.githubusercontent.com/automatic-ripping-machine/automatic-ripping-machine/main/install.sh | bash

The installer starts ARM for you. Then open https://localhost:8081 and log in as admin / admin (you'll be forced to set a real password immediately). The full walkthrough — prereqs, what the installer generates, trusting the TLS certificate, and your first rip — is in Getting Started.

Requirements at a glance

• A Linux host with Docker Engine ≥ 24 and the docker compose v2 plugin.
• One or more optical drives passed through to the host (/dev/sr*).
• Enough CPU/RAM for HandBrake transcoding, and disk for raw + media. See Getting Started § Hardware.

Windows and macOS can run the UI + transcoder as a library frontend, but cannot rip — internal optical drives don't pass into the Docker VM. See Status & Known Issues.

What v3 does

• Detects disc insertion by polling the drive (no host udev rules required).
• Identifies video discs against the ARM community DB (CRC64), then TMDb and OMDb; identifies audio CDs via MusicBrainz.
• Rips video with MakeMKV and audio CDs with abcde.
• Transcodes video with HandBrake, optionally on an Intel/AMD/NVIDIA GPU.
• Streams live job progress to the browser over WebSockets.
• Notifies you on completion/failure through Apprise (Discord, Slack, Telegram, Gotify, and many more).

Wiki map

• Getting Started — install and run your first rip.
• Configuration — the .env file and the UI Settings page.
• Web UI — a tour of the dashboard, jobs, drives, sessions, and presets.
• MakeMKV — registration key handling and the beta-key rotation.
• Hardware Transcoding — enabling Intel QSV / AMD VAAPI / NVIDIA NVENC.
• Upgrading and Uninstall.
• Troubleshooting · FAQ · Known Issues.
• Roadmap · Contributing · Contributing to the Wiki.

For the architecture and design rationale behind v3, read the in-repo docs starting at docs/developers/architecture/README.md.