text-to-mind-map conversion
Converts unstructured text input (articles, notes, documents) into hierarchical visual mind maps with automatically identified main topics and subtopics. The AI analyzes content structure and creates organized node relationships.
audio-to-mind-map conversion
Transcribes audio input (lectures, meetings, voice notes) and automatically structures the transcribed content into a mind map with key points and hierarchical organization. Combines speech-to-text with semantic analysis.
knowledge capture from meetings
Records and transcribes meeting audio, then automatically structures discussion points, decisions, and action items into a mind map for team documentation.
literature review organization
Converts research papers, abstracts, and notes into structured mind maps that show relationships between concepts, authors, and findings across multiple sources.
exam preparation mind map generation
Transforms study materials (notes, textbooks, past exams) into focused mind maps highlighting key concepts, definitions, and relationships essential for test success.
image-to-mind-map conversion
Analyzes visual content (screenshots, diagrams, infographics, photos of whiteboards) and extracts information to create a structured mind map. Uses computer vision to identify text and visual relationships.
real-time collaborative mind mapping
Enables multiple users to simultaneously view, edit, and contribute to the same mind map in real-time with live synchronization. Changes from any collaborator appear instantly for all participants.
ai-powered content structuring
Automatically identifies main topics, subtopics, and relationships within unstructured content and organizes them hierarchically. Uses natural language processing to determine importance and logical grouping.
+5 more capabilities