Introducing FluxSchema: Visual JSON Data Transformation with AI

Data transformation is often the bottleneck in modern ETL workflows and API integrations. To address this, I built FluxSchema.com, a visual IDE that simplifies complex JSON data mapping through drag-and-drop workflows and AI automation.

The Problem It Solves

Engineers frequently spend hours writing custom scripts to map JSON from one schema to another. FluxSchema replaces hand-written mapping code with a visual interface, allowing users to connect source and target fields interactively and preview the output in real-time.

Technical Highlights & AI Integration

Developing FluxSchema was an excellent opportunity to showcase advanced frontend architecture, serverless backend deployment, and practical AI:

• Browser-Based Visual IDE: I developed a schema-first visual mapper where users can drag fields between interactive trees and insert transformation functions in-line.
• AI-Powered Auto-Mapping: To further accelerate the workflow, I integrated an AI auto-mapping feature. It intelligently understands legacy or mismatched field names (e.g., mapping fname to FirstName) and connects them automatically, saving hours of manual setup.
• Instant Serverless API Deployment: Once a mapping is visually constructed, the platform instantly provisions a serverless API endpoint. Users can execute their transformations anywhere with a single POST request.
• Advanced Function Chaining: The underlying engine supports complex JSONata outputs that run consistently both in the browser (for live previews) and on the backend.