JSON Conversion Tips & Tricks

The converter is smart, but you can make it smarter. These tips help you get the most accurate, useful output from your conversions.

Use Representative Sample Data

The converter can only infer types from what it sees. Include examples of all possible values, including edge cases like null values, long strings, and maximum numbers.

[{ "name": "John" }]

[
  { "name": "John", "nickname": null, "bio": "A longer bio..." },
  { "name": "Jane", "nickname": "JJ", "bio": null }
]

Pre-Process Before Converting

If your JSON has inconsistent naming or messy structure, clean it up first. A few minutes of preprocessing saves debugging later.

• Standardize key naming (camelCase or snake_case)
• Convert string numbers to actual numbers
• Replace empty strings with null where appropriate
• Remove duplicate or irrelevant fields

Choose the Right Root Name

For TypeScript, GraphQL, and XML, the root name affects generated type/element names. Use something meaningful like 'User' or 'Product' instead of the default 'Root'.

Test with Extreme Values

Include strings longer than 255 characters if they can occur in production. Include very large and very small numbers. The converter will choose appropriate types.

CSV Workflow Tips

1. Keep nesting to 2 levels max for readable column names
2. Use arrays only when necessary (they serialize to JSON strings)
3. If you need Excel compatibility, avoid special characters in keys

SQL Workflow Tips

1. Name your ID fields 'id' for automatic primary key detection
2. Use ISO 8601 dates for automatic timestamp type inference
3. Include at least 10+ rows for better type analysis
4. Test the generated SQL in a dev database before production

TypeScript Workflow Tips

1. Generate types from actual API responses for accuracy
2. Review generated optional (?) properties—they come from null values
3. Consider renaming the root interface to match your domain

Chain Conversions

Sometimes you need to convert to an intermediate format first. For example: JSON → CSV → import to Excel → export as xlsx. Or: JSON → TypeScript → use in your code → serialize back to JSON.