Probpath
An AI probability tree generator for calculated diagrams
ProbPath is an AI-powered probability tree generator that helps users turn probability problems into clear, interactive diagrams without manually drawing branches or calculating every path.
Instead of building a probability tree from scratch, users can simply describe a scenario in natural language — such as coin flips, dice rolls, medical tests, conditional probability problems, or draws without replacement. ProbPath automatically creates the probability tree, calculates path probabilities, and validates branches to help reduce common calculation errors.
The generated tree remains fully editable. Users can modify nodes and probabilities directly on the canvas or continue the conversation with the AI to change assumptions, add stages, explore what-if scenarios, or ask questions about the results. The tree updates as the scenario changes.
ProbPath is designed for students learning probability and Bayes' theorem, teachers creating classroom examples, analysts visualizing uncertain outcomes, and professionals who need a simple way to communicate probabilistic scenarios.
Completed probability trees can be exported as PNG, PDF, or SVG for use in homework, presentations, reports, study notes, and other documents.
With natural-language generation, automatic probability calculations, interactive editing, and flexible export options, ProbPath makes it faster and easier to create and understand probability tree diagrams online.
Features
- AI Probability Tree Generation — Describe a probability scenario in natural language and generate a complete tree automatically.
- Automatic Probability Calculation — Calculates path probabilities without requiring manual multiplication.
- Probability Validation — Checks branch groups to make sure sibling probabilities add up correctly.
- Conversational Editing — Modify your probability tree by simply telling the AI what you want to change.
- Interactive Canvas Editing — Edit node labels, branches, and probabilities directly on the diagram.
- Conditional Probability Support — Create trees for dependent events, Bayes' theorem, and multi-stage probability problems.
- Dynamic Tree Layout — Automatically organizes nodes and branches to keep diagrams clear as the tree grows.
- Ask Questions About Your Tree — Ask the AI questions about outcomes, paths, and probabilities in the generated diagram.
- PNG, PDF & SVG Export — Export clean probability tree diagrams for homework, presentations, reports, or teaching materials.
Browser-Based Tool — Create probability trees online without installing additional software.
Use Cases
- Simply describe a scenario in natural language, and ProbPath generates a complete probability tree with branches, labels, and calculated path probabilities.
- Users can refine the tree through chat, edit nodes and probabilities directly, and automatically validate that branch probabilities are consistent.
- Finished diagrams can be exported as PNG, PDF, or SVG, making ProbPath useful for students, teachers, analysts, and anyone working with conditional probability or multi-stage probability problems.
Comments
Hi everyone, I built ProbPath to solve a personal frustration: the tedious process of drawing probability trees and manually calculating path math. Instead of building diagrams from scratch, you can simply describe a scenario—like a Bayes' theorem problem or a series of conditional events—in plain English. The AI generates the tree, validates the branches, and calculates all probabilities automatically. The diagrams are fully interactive, so you can tweak nodes on the canvas or ask the AI to explore "what-if" scenarios. Once finished, you can export your work as a clean SVG, PDF, or PNG. I’d love to hear your feedback on how the natural language generation handles your specific problems!
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Comments
Hi everyone, I built ProbPath to solve a personal frustration: the tedious process of drawing probability trees and manually calculating path math. Instead of building diagrams from scratch, you can simply describe a scenario—like a Bayes' theorem problem or a series of conditional events—in plain English. The AI generates the tree, validates the branches, and calculates all probabilities automatically. The diagrams are fully interactive, so you can tweak nodes on the canvas or ask the AI to explore "what-if" scenarios. Once finished, you can export your work as a clean SVG, PDF, or PNG. I’d love to hear your feedback on how the natural language generation handles your specific problems!
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