Stop Writing One-Off Scripts
For Nested JSON Data
A bi-directional transformation engine. Automatically flatten complex, nested JSON into tabular data for mapping, or construct strict, deep-nested JSON payloads from flat CSVs.
Complexity Management
Handle Any JSON Structure
Don't let deep nesting or dynamic arrays break your data onboarding. Our engine handles the complexity of parsing and constructing JSON so you can focus on the data.
Recursive Flattening
Automatically detect record paths and expand arrays into rows, turning complex JSON into a clean, mappable spreadsheet view.
Bi-Directional Support
Go from JSON to CSV, or CSV to JSON. Perfect for preparing data for API payloads or flattening API responses for reporting.
Type-Safe Construction
Define field types strictly (Boolean, Integer, Array) to ensure your generated JSON matches your API's schema exactly.
Workflow
From Nested Chaos to Structured Data
A streamlined process to handle the most complex file format.
Upload & Auto-Flatten
Upload a JSON file. The system scans the structure, detects arrays, and prompts you to select the 'Record Path'. The data is then recursively flattened into columns.
Map & Transform
Work with the data as if it were a flat spreadsheet. Apply logic, lookups, and validations to specific fields using our visual builder.
Construct Nested Output
Need to generate JSON? Upload a JSON file and the system generates dot-notation syntax (e.g., `orders[*].items[0].price`) in the mapping editor to define exactly where each value belongs in the hierarchy.
Export or Push
Download the transformed file as a verified JSON/CSV, or push the payload directly to an API endpoint via our integration connectors.
Why teams choose this approach
Unlike Python scripts that break whenever the JSON schema shifts, DataFlowMapper provides a visual, resilient environment to handle nested structures and arrays without code.
Control & Safety
Payloads You Can Trust
Ensure your JSON outputs are valid, schema-compliant, and ready for production APIs.
Smart Array Handling
Use wildcards (`[*]`) to map data into dynamic arrays without worrying about index management.
Schema Validation
Validate data types before generation to prevent 'Invalid JSON' errors at the destination.
Massive File Support
Stream-process GB+ JSON files without memory errors or browser crashes.
API-Ready Output
Generated JSON is normalized, encoded (UTF-8), and ready for immediate API transmission.
Use Cases
The go-to for data import solutions
For repeatable CSV, Excel, and JSON imports — not streaming ETL or analytics workflows.
Client Data Onboarding
Standardize messy client data instantly with AI-powered mapping and reusable templates
Software Implementation
Accelerate go-live times by empowering non-technical teams to handle data migrations
Legacy System Migrations
De-risk high-stakes migrations with visual validation and automated data transformation
Software Vendors
Win more deals and boost customer satisfaction by simplifying onboarding
Consultancies
Scale your service delivery by building a library of reusable mapping templates
Operations
Streamline product catalog mapping and inventory data synchronization
Full Access for 30 Days
Try DataFlowMapper risk-free for 30 days. No credit card required. Early adopter pricing after 30 days.
1-on-1 Onboarding & Support
Partner with us and get tailored solutions for your unique data onboarding needs.
Product Roadmap & Features
Get first say in the future of DataFlowMapper. Your feedback shapes our platform.
The visual data transformation platform that lets implementation teams deliver faster, without writing code.
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