
Scrypted
High-performance video integration and NVR platform

Scrypted is an open-source video integration and NVR platform that collects, rebroadcasts, and records camera streams. It uses a plugin architecture to connect many camera brands and export low-latency streams to HomeKit, Google Home, Alexa, Home Assistant, and web/mobile clients.
Key Features
- Plugin-based architecture for broad camera and service support, including manufacturer plugins, RTSP/FFmpeg, and ONVIF.
- Low-latency rebroadcasting and stream management for HomeKit Secure Video, Google Home, Alexa, and web clients.
- Scrypted NVR plugin provides 24/7 recording, clip management, and smart detection pipelines.
- Detection and analysis plugins (OpenCV, TensorFlow-Lite compatible plugins) for motion, object, face, and license-plate sensors.
- Multi-platform deployment: desktop apps with hardware acceleration, Docker/container images, and service installs.
- Rebroadcast and transcoding pipeline that uses native media tools to transcode and adapt streams for different destinations.
- Developer-focused tooling and SDK for building/debugging plugins in TypeScript/Node.js.
Use Cases
- Export local IP camera feeds into HomeKit Secure Video for iOS/macOS integration and recording.
- Centralized NVR recording and smart detections for home or small business camera fleets.
- Bridge integrations to stream and control cameras across Alexa, Google Home, and Home Assistant.
Limitations and Considerations
- Desktop app features that expose hardware-accelerated capabilities require a paid desktop license for full hardware acceleration support.
- Advanced AI/detection plugins may require additional native dependencies (TensorFlow Lite, OpenCV) and significant CPU/GPU resources to run reliably on lower-end hosts.
- Certain remote features and some voice-assistant integrations rely on the platform's cloud component for remote connectivity; offline-only setups may require additional configuration.
Scrypted is focused on extensible, low-latency video integration and automation with a strong plugin ecosystem and multiple deployment options. It is suitable for power users and integrators who need flexible streaming, recording, and detection capabilities across consumer smart-home platforms.
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Docker
TypeScript
Python
WebRTC
GStreamer
npm
Node.js