Input
Paste CSV or drop a file
Drop a file here or click to browse
Supports up to 5MB. You can also paste raw CSV into the editor below.
Free developer utility
Convert and validate structured data without leaving the browser.
DataConvertor handles CSV to JSON, JSON to CSV, JSON Schema generation, and JSON syntax validation entirely client-side. Drop a file, paste data, inspect a preview table, copy the output, and download the result with no backend involved.
Up to 5MB
Cloudflare Pages ready
No uploads
Fast preview
Main tool
Structured data workspace
Ready
Choose a tab, paste data, or drop a file to begin.
Output
JSON result
The first row is treated as the header row. Duplicate or empty headers are normalized automatically.
Input
Paste JSON or drop a file
Drop a JSON file here or click to browse
Provide an array of objects or arrays. Nested values are stringified safely.
Arrays of objects become header-based CSV. Arrays of arrays use generated column names.
Output
CSV result
Keys are collected across the dataset so every object maps to the same CSV columns.
Input
Sample JSON for schema inference
Drop a JSON sample here or click to browse
Use a representative example. Arrays, objects, booleans, nulls, integers, and nested structures are inferred automatically.
The generator produces a draft-07 style schema with merged properties and item inference.
Output
JSON Schema
The output is designed to be editable, so you can refine descriptions, enums, or stricter validation rules afterward.
Input
Validate JSON syntax
Drop a JSON file here or click to browse
Validation runs in the browser and reports syntax errors with line and column details.
When the JSON is valid, DataConvertor can also pretty-print it for easier inspection.
Output
Validation result
Errors are listed in the issue panel with a highlighted code frame and exact line information when available.
Preview
First 50 rows
| Run a conversion or validation step to inspect the first 50 rows. |
Validation
Issues and details
No issues to show yet. Validation output and conversion notices will appear here.
Why developers use it
Fast feedback for everyday data work
DataConvertor is built for the workflows that come up constantly in APIs, ETL pipelines, QA, and support debugging. You can validate pasted JSON payloads, inspect sample CSV exports, generate a starter schema from real response data, and move between formats without sending anything off-device.
- Safe CSV parsing with quoted field handling and auto delimiter detection.
- JSON parser errors mapped to line and column locations.
- Schema inference for arrays, objects, integers, booleans, nulls, and nested values.
- Responsive interface with dark mode and keyboard-friendly controls.
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