What is Moondream?

Moondream delivers vision AI for image and video analysis, providing real-time visual understanding for tasks such as object detection, counting, and scene reasoning.It automatically generates media tags and extracts metadata to enable semantic search and fast retrieval across large media collections.

For robotics, Moondream supports natural-language prompts (for example, Find the red ball or Is the path clear?) to enable flexible perception and behavior without retraining.In UI automation and testing, Moondream identifies UI elements semantically, improving selector resilience and enabling checks like Locate the Submit button or Is an error displayed?.

Deployable on-premise or in the cloud, Moondream runs offline, supports CPU and GPU environments, and provides Python and Node clients for integration.Open-source components and an interactive Playground support development workflows and rapid prototyping for robotics, enterprise automation, and media management use cases.

Moondream pricing Freemium

For individuals getting started with moondream $0

Get started $5/mo

Start team $50/mo

Start scale $100/mo

For teams building with shared credits and support $300

For teams building with shared credits and support $350

For larger organizations scaling inference and rl $800

For larger organizations scaling inference and rl $950

Base model $0.1500

Finetune +25% $0.1875

Moondream 3 (preview) $0.3000

Finetune +25% $0.3750

For advanced compliance and deployment needs. custom

Scale plans include one device license, with additional devices available at a per-device fee. custom

Usage-based pay only for what you use. all plans include mo usage credits.

Verify on the official pricing page.

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Moondream's key features

Point, detect, count, and reason on images and video
Automatically generate tags and extract metadata from images and video
Interpret natural-language prompts for robotic vision tasks
Semantic understanding of UI elements for UI automation and testing
Open-source, self-hostable (offline), CPU and GPU compatible with Python and Node clients

Moondream use cases

Use Moondream to power real-time factory-floor monitoring that detects and counts parts or defects, reasons about scenes to trigger automated alerts or stop the line, and integrates with Python/Node backends and dashboards while supporting on-premise deployment for data privacy
Automatically generate semantic media tags and rich metadata for large image and video libraries using Moondream, enabling content teams to search by objects, scenes, or actions, auto-populate CMS entries and captions for faster editorial workflows and improved discoverability
Enable robots and interactive systems to follow natural-language prompts and interact with the environment using Moondream's visual perception—recognize UI elements and objects, perform pick-and-place or guided navigation via Python/Node or ROS integrations, and run offline on-premise for latency-sensitive or secure applications