sct/overseerrArchived
Overseerr
Overseerr is a self-hosted request portal and media automation orchestrator designed to manage the discovery and acquisition of movies and television series. It serves as a media discovery platform and a dedicated request manager for Plex media servers, providing a centralized interface for users to find content and submit requests.
The system coordinates the media request workflow by connecting user submissions to automated download services. It synchronizes with media servers to track existing library content and prevent duplicate requests, while providing administrators with a dashboard to approve or reject pending submissions.
The platform includes capabilities for external user authentication and role-based access control to manage granular permissions. It also features a notification system to alert users when content is requested or becomes available, alongside tools for curating watchlists and blocklists.
Features
- Plex Automation and Requests - Serves as a dedicated manager for discovering and requesting new content for Plex media servers.
- Automation Integrators - Coordinates the acquisition of media content by connecting requests to automated download services.
- Plex Request Management - Provides a web interface for discovering movies and TV shows and submitting requests to Plex.
- Media Discovery Interfaces - Provides a searchable directory for browsing content and managing watchlists to identify titles for addition.
- Media Server Synchronizers - Synchronizes library data with media servers to manage requests from a single interface.
- Media Automation Tools - Automates the retrieval of approved media titles via integration with external download managers.
- Automation Orchestrators - Acts as a coordinator connecting media requests to automated download services for seamless acquisition.
- Acquisition Orchestration - Connects media requests to automated download services to streamline the retrieval of movies and television series.
- Media Request Systems - Provides a dedicated interface for discovering movies and TV shows and submitting requests.
- Request Lifecycle States - Tracks media requests through a structured lifecycle from submission to administrative approval and acquisition.
- Media Library State Synchronization - Prevents duplicate requests by tracking titles already available in the connected media server collection.
- Request Portals - Provides a private administrative dashboard for approving or rejecting media requests and managing user access.
- Media Server API Clients - Integrates with media server APIs to synchronize library states and metadata.
- Role-Based Access Control - Manages granular user permissions for requesting and approving media content based on assigned roles.
- User Access Management - Provides centralized administrative control over user accounts and their ability to request or approve content.
- Content Watchlists and Blocklists - Maintains custom watchlists and blocklists to curate desired content and restrict specific titles.
- Webhook Triggers - Sends HTTP signals to automated download services to initiate content retrieval after approval.
- Event Notifications - Dispatches alerts through various notification agents based on media request state changes.
- Notification Dispatches - Sends real-time outbound notifications to users when requests are created or processed.
- External Authentication Integrations - Supports user verification via external identity providers to secure access.
- Granular Access Controls - Implements granular access levels to determine user authority for requesting or approving content.
- API Request Authentication - Verifies request authenticity using session cookies or static API keys passed in request headers.
- Identity Authentication - Verifies user identities using external identity providers and cloud-based SSO.
- Event-Driven Notification Triggers - Triggers real-time alerts to third-party agents when media request statuses change.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
