Match the tool to the question
Use a JSON formatter to read compact data. Use a JSON validator to check accepted syntax. Use JSON comparison to inspect changes.
Use CSV to JSON conversion when your source is a table. Formatting alone cannot turn a CSV table into JSON objects.
- Formatting changes presentation.
- Syntax validation checks parsing.
- Comparison locates differences.
- Conversion changes the representation and needs a mapping.
Format JSON without changing its meaning
For example, {"name":"Ada","active":true} contains an object with a string and a boolean. Indentation makes those fields easier to inspect.
The word true has no quotes when it represents a boolean. The value "true" is a string. Formatting cannot decide which your application requires.
Check numeric precision and string escapes when moving data between systems. Keep the source response for comparison.
Validate syntax before checking business rules
The object {"count":2,} contains a trailing comma and is not standard JSON. Remove the comma, then validate again.
The object {"count":-2} has valid syntax. An inventory API can still reject a negative count under its business rules.
A syntax checker does not replace schema validation, authentication, or application-specific checks.
Convert CSV and preserve identifiers
For a CSV table with columns code and count, decide whether code is text before converting. The identifier 0012 must keep its zeros.
Check the header row, delimiter, and quoting. A comma inside a quoted field belongs to that field instead of starting another column.
Inspect one converted record before converting a larger table. Confirm that identifiers remain strings and that numeric fields have expected types.
Compare results before sharing
Compare the original and intended result when both are JSON. Investigate missing keys, added keys, changed values, and array order.
Remove sensitive data before sharing a sample. Readable JSON can still contain passwords, tokens, or personal information.