A clearer view
of your data.
Free tools to format JSON, compare JSON responses, create comma-separated lists, and visualize SQL schemas. No account required.
No account requiredLocal data processing
From a payload to a clear picture.
Try JSON formatterFind the right tool.
One task at a time. No setup, no unnecessary steps.
JSON formatter
Format, validate, and explore your JSON.
Comma separator
Turn a column into a ready-to-use list.
JSON diff
Find changes by value, type, and path.
Delimiter converter
Switch between commas, tabs, and pipes.
SQL schema visualizer
Map tables, columns, and relationships.
CSV ↔ JSON
Move between table rows and objects.
YAML ↔ JSON
Convert and validate configuration data.
XML ↔ JSON
Convert elements, attributes, and values.
JSONPath tester
Extract matching values from nested data.
API client
Send requests and inspect responses.
Your data, your workspace
Formatting, conversion, and comparison happen in your browser. Sharing is always a separate action.
Useful control, less friction
Readable errors, practical defaults, and settings for the way your data actually looks.
Ready for the next step
Copy the result, download a file, or move to a related tool. Keep your workflow moving.
Practical answers for your data.
Examples and checks for the work behind each tool.
How to format JSON and fix invalid JSON
Format and validate JSON with practical examples. Fix trailing commas, single quotes and unclosed brackets, then choose code view, tree view or minified output.
Compare JSON objects without key-order noise
Learn how to compare JSON objects structurally. See examples of reordered keys, nested values, arrays, missing properties and null using the DataLens JSON diff.
Convert an Excel column to a comma-separated list
Turn Excel or Google Sheets rows into a comma-separated list. See TEXTJOIN, quoted values, JSON arrays, SQL lists and ways to preserve leading zeroes.
Convert CSV to JSON without losing field values
Convert CSV rows to JSON objects while preserving headers, quoted commas and leading zeros. Learn how to handle duplicate headers and inconsistent row widths.