Category guide
JSON Tools
JSON is common in APIs, configuration, and test fixtures, but the right check depends on your task. Inspect a nested response, make it readable, locate a syntax error, or export records as a table without sending the document to a server.
Choose the right tool
JSON Viewer
Use the tree when you need to follow nested objects and arrays or find a key without reading every line.
JSON Formatter
Use the formatter when the data is valid but indentation or key order makes a response difficult to review.
JSON Validator
Use the validator when a parser rejects a fixture or configuration and you need an error line and column.
JSON to CSV
Use the converter when an array of records needs a flat table for review or import into another application.
All tools
JSON Viewer
Explore nested JSON with a searchable, collapsible tree.
Open tool →JSON Formatter
Pretty print JSON with customizable indentation and key sorting.
Open tool →JSON Validator
Check JSON syntax and locate errors by line and column.
Open tool →JSON Minifier
Remove whitespace while preserving JSON values.
Open tool →JSON to CSV
Flatten JSON objects into a downloadable CSV table.
Open tool →JSON to YAML
Convert JSON data into readable YAML.
Open tool →JSON to XML
Generate XML elements from JSON data.
Open tool →JSON to TypeScript
Generate TypeScript interfaces from a JSON sample.
Open tool →Example workflow: review an API response
- Paste the response into the JSON Viewer and search for the field your application reads, such as user.id or items.
- Open the same response in the JSON Formatter to inspect surrounding objects and copy a readable fixture for a bug report.
- If an edited fixture fails, check it with the JSON Validator before testing application rules or API contracts.
Before you use the result
A successful JSON parse checks syntax, not whether the fields meet an API contract. Formatting may change whitespace and optional key sorting changes display order. CSV export turns values into cells and cannot preserve the full nested structure or original types.
Syntax, structure, and meaning
The JSON Validator answers a narrow question: can the browser parse this text as JSON? It will catch a missing quote or trailing comma. It cannot tell you whether an id should be a string, whether an array has the right records, or whether a timestamp is valid for your API. Run schema or integration checks after syntax passes.
The JSON Viewer is useful when the document is valid but large. Collapsing unrelated branches helps you find the field behind a bug. For a small payload that needs to be shared with a teammate, the JSON Formatter gives a stable, readable layout. Keep sorting off if the authored order makes the record easier to discuss.
Choosing a conversion
Choose JSON to CSV for an array of objects where each object represents one row. Nested object fields become dotted column names, and missing fields become empty cells. A CSV file is convenient for review but has no native object or number types. Check the imported table before using it for calculations. If the destination is a configuration file, JSON to YAML may retain the hierarchy more naturally. If an XML interface is required, inspect the JSON to XML mapping and verify the expected element names.