dream-interpreter

Structured JSON dream interpretation outputs provide pre-defined fields including dream_summary, keywords, mood, color_scheme, visual_elements, and tri-perspective interpretations. This schema ensures frontend applications can directly render interactive dream analysis cards without additional parsing.

Yes, you can generate visual dream analysis cards by utilizing the structured JSON output which includes visual_elements and color_scheme fields. This allows frontend rendering systems to directly map data to UI components, creating personalized dream cards for journal or storytelling applications.

To get an accurate psychological interpretation, describe your dream in detail including characters, emotions, and settings. The AI will ask up to three clarifying questions to interrogate key symbolism, ensuring the generated responses contain sufficient context for precise analysis.

AI dream symbolism analysis uses safe, non-diagnostic language and does not provide medical or clinical psychological diagnoses. If dream details are insufficient, it will prompt for clarification rather than fabricate interpretations, limiting its use to educational and entertainment purposes.

The dream interpreter requires no specific input formats, only natural language descriptions of your dreams. It then processes this text to extract symbolism and generate a complete JSON object, ensuring the output strictly follows the specified schema for immediate programmatic use.