Tunarr enables users to generate custom live TV channels using their existing media collections, such as movies, TV shows, and music videos. It acts as a bridge, allowing users to stream this media as if it were traditional broadcast television. Tunarr leverages a spoofed HDHomeRun tuner, offering flexibility in output and integration with popular media server and IPTV platforms.
Tunarr distinguishes itself with its comprehensive channel management, including a drag-and-drop lineup editor and the ability to insert filler content like commercials. The application offers hardware-accelerated transcoding options, enabling efficient streaming on various devices. Its support for both M3U/IPTV output and direct browser streaming enhances its versatility.
- Media Source Support: Connects to Plex, Jellyfin, Emby, and local file libraries for diverse content sources.
- Channel Scheduling: Provides time-slot and random-slot scheduling for automated channel lineups.
- Transcoding Options: Supports hardware-accelerated transcoding using NVENC, VAAPI, QuickSync, and VideoToolbox.
- IPTV Output: Generates M3U/IPTV URLs compatible with Dispatcharr, Threadfin, and other IPTV clients.
- User Interface: Features a web-based TV guide for easy channel lineup management.
- Customization: Allows per-channel audio language and subtitle preferences.
- Extensibility: Supports custom transcoding profiles for tailored streaming quality.
Tunarr is an active project with consistent development and recent commits. It has a strong community presence with active Discord and GitHub channels, indicating ongoing support and issue resolution. Regular releases and a well-documented API contribute to its reliability and ease of use.
Tunarr is beneficial for users looking to create personalized live TV experiences from their existing media libraries. It addresses the need for a flexible and customizable solution that integrates with popular media servers and IPTV players. Tunarr offers a cost-effective alternative to traditional cable or satellite subscriptions by leveraging locally stored content.