Knowledge Map Master Pro
Transform complex sources into dense A3 Bento maps
Knowledge Map Master Pro
Transform complex sources into dense A3 Bento maps
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《时间简史》知识地图绘制
时间简史：高密度HTML知识地图
《时间简史》知识地图绘制
时间简史：高密度HTML知识地图
Description
Upload a book, a PPT, a paper, or any material → AI automatically breaks it down into a three-level nested knowledge structure → assembles it into a high-density A3 knowledge map. Bento tile layout: different topic areas vary in size, fitting together like puzzle pieces to fill the canvas seamlessly — key areas are larger and more detailed, while peripheral content is compact and refined. Supports 4-20 major zones, 80-600+ information nodes, 4 visual styles (professional poster, hand-drawn notes, vintage map, dark tech), and horizontal/vertical orientation. Built-in zoom and pan interaction, ready to print or export as PDF. One map to see the shape of all knowledge.
Related Skills
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Knowledge Graph Engine
Automatically build five types of diagrams (Knowledge Graph, Mind Map, Concept Map, Flowchart/Architecture Diagram, Relation Diagram) from text, files, or topics, and output an interactive web page, static image, and visualization code all in one — a triple-threat solution built to the highest standards. Combines best practices from knowledge graph engineering and information visualization, supporting dynamic granularity control, disambiguation and deduplication, and multi-source cross-validation. Turn your words, files, or even a thought into a draggable, zoomable, searchable interactive knowledge graph in seconds, and export high-definition images and ready-to-use code with one click — this is the knowledge visualization "triple-threat" engine you've never experienced before. 🧠 What is the Knowledge Graph Engine? It's not the simple drawing tool you've seen before. It's a knowledge engineer + visualization expert hidden in your browser. Give it a textbook passage, a thesis, a PDF, or just a keyword, and it will automatically: 🔍 Extract core entities and clarify deep relationships 🧱 Build structured graph JSON (Knowledge Graph / Mind Map / Concept Map / Flowchart / Relation Diagram) 🎨 Output three top-tier forms: interactive web page + high-definition static image + Markdown/Mermaid/Graphviz code From now on, information organization doesn't rely on manual box drawing, and knowledge presentation is no longer just a static picture. ⚡ Why is it "top-tier"? 1. Fully automatic "text-to-graph" pipeline: No need to learn any modeling language or manually define nodes and connections. Just input content, and the engine automatically determines the graph type: Subject knowledge system? → Generates a semantically rich knowledge graph Reading notes deconstruction? → Generates a clear hierarchical mind map Process and decision? → Generates a flowchart/architecture diagram with branches Character relationship network? → Generates a multi-dimensional relation diagram Even if you just throw a topic word, it can independently gather information, fill in the content, and then generate the graph. 2. Triple-threat output covering all use cases: 🖱️ Interactive D3.js web page: Drag nodes, scroll to zoom, click for details, highlight related paths, keyword search... like operating a living map. Single-file HTML, no backend, can be embedded directly into any page or sent to anyone. 🖼️ High-definition static graph: Force-directed layout, color-coded categories, directly usable for thesis illustrations, PPT presentations, teaching materials — every label is sharp and readable. 📜 Visualization code: Generates both Mermaid and Graphviz source code simultaneously. Developers can directly insert into documentation, wiki, Notion, with unlimited expandability for secondary editing. 3. Ultimate user experience design: 🎨 Colors automatically mapped by entity type, hierarchy expressed intuitively by node size 🔗 Relationship labels displayed directly on curves — instantly see 'contains', 'causes', 'supports' 💡 Click any node, non-related parts auto-fade to focus on the thought path 🔄 Reset layout, search positioning, zoom and pan... all operations smooth as silk 4. Engineering wisdom balancing 'breadth' and 'depth': From entity disambiguation and deduplication to multi-source cross-validation; from hierarchical granularity control to dotted-line connections supporting cross-domain relationships — behind this are the best practices of knowledge graph engineering, not a toy but a productivity tool. 👥 Who needs it most? Teachers & Educational Content Creators: Turn entire textbook chapters into an interactive knowledge map — students click to understand concept relationships. Researchers & Students: Literature reviews no longer rely on text walls — one diagram clarifies the theoretical threads of dozens of papers. Product Managers & Enterprise Architects: System architecture, business processes, feature breakdown — instantly generate architecture diagrams, doubling communication efficiency. Readers & Lifelong Learners: Notes are no longer just outlines but explorable thought networks, letting knowledge truly 'grow' together. 🚀 Now, let your knowledge 'come alive' You give content, it gives insights. You give a topic, it gives a system. You give a requirement, it gives a complete deliverable of web pages, images, and code. This is not a feature; it's a workflow that elevates information into cognition. Let the Knowledge Graph Engine become an extension of your thinking, visualize your expertise, and reach every audience's 'aha moment.' — From today, don't 'draw' graphs, 'generate' graphs.
Concept & Mind Map Generator
Studying but not retaining, flipping through notes as if you never saw them? Trying to create a mind map for Xiaohongshu, but the software takes forever, the color scheme ends up looking cheap, and exports are full of AI-generated giveaways. Paste a piece of content or a topic, and instantly generate a publishable knowledge graph—beautiful, clear, and logically sound. ✨ Core Capabilities 1. 4 diagram types: Mind Map (review), Concept Relationship Diagram (who influences who), Knowledge Framework (systematization), Process Flow Diagram (development timeline) 2. First shows a text structure for your approval, then generates the diagram—no mistakes, no rework 3. 5 styles: Creamy Journal, Business Minimal, Tech Blue, Morandi, Black & White Wireframe—one-click switching 4. 4 aspect ratios: Xiaohongshu 3:4, Square 1:1, Presentation 16:9, Portrait 9:16 5. Anti-AI-vibe guardrails: no purple-white gradients, no 3D plastic look, no rigid symmetry; clean lines with no tangles 📱 Use Cases Students reviewing key points, knowledge creators making infographics, teachers preparing presentation images, reading notes, illustrations for WeChat Official Accounts or Zhihu articles—ready to post on Xiaohongshu to collect saves. One piece of content, one image says it all—turning 'can't remember' into 'remember at a glance'.
Orange Spark Tech Infographic
Automatically transform your articles, community discussions, course notes, or methodologies into a vertical knowledge infographic with the Orange Spark Technology brand style. This infographic features a dark tech-themed background with high-saturation orange highlights, delivering a strong AI product launch visual effect. It instantly boosts the shareability and professionalism of your knowledge content. Whether you need to summarize tool reviews, organize SOP procedures, distill key insights, or share structured study notes, this skill intelligently extracts the essence of your content and presents it with clear information hierarchy and impactful visual design. It ensures your infographic offers an excellent reading experience on mobile devices, with prominent titles, appropriate white space, and no cluttered text or visual congestion. We focus on transforming abstract knowledge into concrete visual assets. Through carefully designed rounded cards, orange borders, linear icons, and intelligent layout, your content is presented in a branded, templated format, much like a professional tech company's launch poster. Every opinion and conclusion becomes a striking focal point for sharing. Whether it's process workflows, evaluation dimensions, or point breakdowns, the most suitable graphical representation is always found.
Information
- Version
- v14
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
