Code to Flow
Visualize & understand program logic instantly
Founded
2023
Starting Price
$0
Category
AI Coding Assistants
Last updated March 4, 2026
About Code to Flow
Code to Flow is an AI-powered code visualization platform that transforms source code from any major programming language into interactive, exportable flowcharts and diagrams. It analyzes code structure including functions, loops, conditionals, and class hierarchies to generate visual representations that make complex program logic immediately understandable. The tool is privacy-focused with code processed without being stored on servers.
Pros & Cons
Pros
- Supports comprehensive range of programming languages with no configuration
- Privacy-focused with no server-side code storage
- Generous one-time lifetime pricing options for long-term value
- Produces multiple diagram types from the same code input
- Built-in Mermaid syntax editor for post-generation refinement
Key Features
Multi-Language Support
Works with Python, JavaScript, TypeScript, Java, C, C++, and all major languages
Multiple Diagram Types
Flowcharts, sequence diagrams, class diagrams, user journey maps, and concept explanations
AI Code Analysis
Automatically identifies functions, loops, conditionals, and logical flows
Interactive Visualization
Zoom, pan, and explore generated diagrams in-browser
Multiple Export Formats
Download as SVG, PNG, or PDF
Mermaid Syntax Editor
Edit raw diagram syntax post-generation for fine-tuning
Customizable Styling
Color schemes and themes for diagrams
Privacy-First Architecture
Code is not stored on servers during processing
Pricing
Free
$0
- 3 flowchart generations per day
- Basic code length support
- Ads displayed
Pro Monthly
$9.99/month
Best For
Legacy Code Comprehension
Quickly understand unfamiliar or inherited codebases by generating visual logic maps
Developer Onboarding
Help new team members understand system flows without reading every line
Code Documentation
Produce visual architecture diagrams for technical documentation and wikis
Code Review
Trace logic paths and identify edge cases visually during peer review
