Describe any concept that branches into sub-categories or child nodes and AI builds a clean tree diagram — root, branches, and leaves, all structured visually.
Ask a follow-up…
Click one to fill the box above. Edit anything before you send.
No template to fill in and no drawing. You talk; the canvas keeps up.
Types of machine learning models and their subtypes...
Name what the tree starts with and explain how each level divides. Supply category lists, folder paths or possible outcomes, depending on the structure you need.
The assistant places the root above or beside its children and extends each subtree. Branches keep the parent-child relationship visible as the structure becomes more detailed.
Ask to move a misplaced child, expand a subtree or prune duplicate entries. Check the levels, then export PNG for free or PDF with Pro.
A tree diagram starts with one root and splits into branches of child nodes. Each child has one parent in the tree, making the format useful for showing nested categories, component parts or successive outcomes.
Use one for folder structures, classifications, deliverable breakdowns or probability exercises. Define what a branch means before expanding it. Choose a concept map when items need several relationships, or a mind map for a looser topic brainstorm.
The assistant arranges your root, children and leaves on the canvas. Specify whether branches mean contains, is a type of or a possible next outcome. Ask to expand one subtree while keeping the others at a broader level.
Whole map or one frame. PDF and clean PNG on Pro.
Ask for slides from this map and present frame by frame.
A read-only link for anyone; they can copy it to their own canvas.
Every map stays on your canvas; come back and ask for more.
The example is an LLM mind map with topic branches. It is not the directional classification tree described here. Ask for a root and explicit parent-child levels for your own hierarchy.
In a strict tree, each non-root node has one parent. If your information needs shared nodes with several relationships, a concept map or network diagram may fit better.
Yes. Describe the events, possible outcomes and whether probabilities change after each step. Ask for branch probabilities and check that the branches leaving each event sum to one.
Generate diagrams in seconds. Describe your concept, process, or system and AI creates a structured diagram — with shapes, connections, and labels — ready to refine and export.
Create UML diagrams in seconds. Describe your system or classes and AI generates a structured diagram — class, sequence, or activity — ready to refine and export.
Turn database requirements into ER diagrams in seconds. Describe your entities and relationships and AI generates a clean entity-relationship diagram — tables, columns, and foreign keys.
Create BPMN diagrams in seconds. Describe your business process and AI generates a standards-compliant flow — events, tasks, gateways, and swim lanes all mapped out.
Create chord diagrams in seconds. Describe your flow data and AI generates a visualization showing relationships and volumes between connected groups.
A UML class diagram modeling an e-commerce platform with core domain classes including User, Product, Order, and Payment, showing attributes, methods, and relationships.
Compare two or more sets in seconds. Describe what you want to compare and AI generates a Venn diagram showing unique elements and shared overlaps — clear, visual, and ready to edit.
Create data flow diagrams in seconds. Describe your system and AI generates a structured DFD — with processes, data stores, external entities, and data flows, ready to refine and share.
Free to start. No credit card required.
✦ Free to start · No credit card required · PDF, docs & images supported
MyMap