JSON Formatter

"Unexpected token" errors occur when JSON contains invalid syntax like trailing commas, single quotes, or unescaped characters. JSON is stricter than JavaScript object notation.

• Remove trailing commas after last elements
• Use double quotes, never single quotes
• Escape special characters with backslashes
• Validate with JSONLint before deployment

JSON strictly requires double quotes for all strings and property names. Single quotes will cause parse errors in all JSON parsers. This is different from JavaScript where both are valid.

• Property names: "key" not 'key'
• String values: "value" not 'value'
• No unquoted property names allowed
• Use JSON.stringify() to ensure proper format

JSON doesn't allow leading zeros in numbers (01, 007) or trailing decimal points (5.). These formats cause parsing errors and must be corrected for valid JSON.

• Remove leading zeros: 01 becomes 1
• Add digit after decimal: 5. becomes 5.0
• Use strings for IDs with leading zeros
• Scientific notation is allowed: 1e10

"Unexpected End of File" means the JSON parser reached the end before finding required closing brackets or braces. This often happens with truncated API responses or incomplete files.

• Check for missing closing brackets
• Verify complete data transmission
• Inspect network responses for truncation
• Validate file size and content integrity

Complex JSON with deep nesting requires systematic validation. Parse incrementally, validate schema at each level, and use proper error handling to identify which nested object contains issues.

• Use JSON Schema for structure validation
• Parse step-by-step to isolate errors
• Implement proper error boundaries
• Consider flattening overly complex structures

JSON is stricter than JavaScript objects. Comments, trailing commas, unquoted keys, and single quotes work in JS but break JSON. Understanding these differences prevents API errors.

• JSON: No comments allowed
• JSON: All keys must be quoted
• JSON: No trailing commas
• JSON: Only double quotes for strings

Production JSON errors require systematic debugging. Log raw data, use validation libraries, implement graceful error handling, and monitor API responses for data integrity issues.

• Log raw JSON before parsing attempts
• Use try-catch with detailed error messages
• Implement JSON schema validation
• Monitor API response integrity

Maintain JSON quality through automated validation, consistent formatting, proper escaping, and testing. Use linters in CI/CD pipelines to catch issues before production deployment.

• Integrate JSON linting in build process
• Use JSON.stringify() for consistent output
• Validate against schemas automatically
• Test with edge cases and large datasets