JSON Validator
Validate JSON syntax with detailed error reporting and real-time feedback. Our JSON validator helps you identify and fix syntax errors in your JSON data with precise error messages and helpful suggestions.
Features:
- • Real-time JSON syntax validation
- • Detailed error reporting with line and column numbers
- • Statistical analysis of JSON structure
- • Helpful suggestions for common errors
- • Support for large JSON files
JSON Input
Paste your JSON data here to validate
Validation Results
💡 Pro Tips
Try These Examples
Click any example to load it into the validator
Valid Object
{
"name": "John Doe",
"age": 30,
"email": "john@example.com",
"skills": ["JavaScript", "Reac...Invalid - Missing Quotes
{
name: "John Doe",
age: 30,
email: "john@example.com"
}...Invalid - Trailing Comma
{
"name": "John Doe",
"age": 30,
"email": "john@example.com",
}...📚 JSON Validation Guide
What is JSON Validation?
JSON (JavaScript Object Notation) validation is the process of checking whether a string of text conforms to the JSON specification defined in RFC 8259. A valid JSON document must follow strict syntax rules — unlike JavaScript object literals, JSON does not allow comments, trailing commas, single-quoted strings, or unquoted property names. Validation catches these issues before they cause runtime errors in your applications.
Our validator parses your input, reports the exact line and column where an error occurs, and suggests fixes for the most common mistakes. All processing happens locally in your browser — your data is never sent to a server.
JSON Syntax Rules
Every valid JSON document must follow these rules:
- Strings must use double quotes (
"hello"). Single quotes, backticks, and unquoted text are invalid. - Property names must also be double-quoted:
{"name": "value"}is valid,{name: "value"}is not. - Numbers cannot have leading zeros (
0.5is valid,05is not) and must use a decimal point, not a comma. - Booleans are lowercase only:
trueandfalse.True,TRUE, andyesare invalid. - Null is lowercase:
null.None,nil, andundefinedare invalid. - No trailing commas after the last element in an object or array.
- No comments — neither
//nor/* */are allowed in JSON. - Special characters in strings must be escaped:
\nfor newlines,\tfor tabs,\"for quotes,\\for backslashes.
Common JSON Errors and How to Fix Them
These are the errors developers encounter most often when working with JSON:
1. Unquoted Property Names
Property names in JSON must always be wrapped in double quotes. This is one of the most frequent mistakes, especially for developers coming from JavaScript.
// ❌ Invalid — unquoted keys
{name: "Alice", age: 30}
// ✅ Valid — double-quoted keys
{"name": "Alice", "age": 30}2. Trailing Commas
JSON does not allow a comma after the last element in an object or array. Many programming languages and config formats (like JavaScript and JSON5) allow this, but strict JSON does not.
// ❌ Invalid — trailing comma after "React"
{"skills": ["JavaScript", "React",]}
// ✅ Valid — no trailing comma
{"skills": ["JavaScript", "React"]}3. Single Quotes Instead of Double Quotes
JSON strictly requires double quotes for both property names and string values. Single quotes are a syntax error.
// ❌ Invalid — single quotes
{'name': 'Alice'}
// ✅ Valid — double quotes
{"name": "Alice"}4. Missing or Extra Brackets
Every opening brace or bracket must have a matching closing one. Deeply nested structures make this error easy to miss.
// ❌ Invalid — missing closing brace
{"user": {"name": "Alice"}
// ✅ Valid — all brackets matched
{"user": {"name": "Alice"}}5. Using JavaScript Values
JSON is not JavaScript. Values like undefined, NaN, Infinity, and functions are not valid JSON.
// ❌ Invalid — undefined is not a JSON value
{"status": undefined}
// ✅ Valid — use null instead
{"status": null}How to Validate JSON in Your Code
While our online tool is great for quick checks, you often need to validate JSON programmatically. Here is how to do it in popular programming languages:
JavaScript / Node.js
function isValidJSON(str) {
try {
JSON.parse(str);
return true;
} catch (e) {
console.error("Invalid JSON:", e.message);
return false;
}
}Python
import json
def is_valid_json(text):
try:
json.loads(text)
return True
except json.JSONDecodeError as e:
print(f"Invalid JSON: {e}")
return FalseJava
import com.google.gson.JsonParser;
import com.google.gson.JsonSyntaxException;
public static boolean isValidJson(String json) {
try {
JsonParser.parseString(json);
return true;
} catch (JsonSyntaxException e) {
System.err.println("Invalid JSON: " + e.getMessage());
return false;
}
}When to Validate JSON
You should validate JSON in these situations to prevent bugs, crashes, and security issues:
- API responses: Always validate data received from external APIs before processing. Malformed responses can crash your application or lead to unexpected behavior.
- User input: Any JSON submitted by users (form data, file uploads, webhook payloads) must be validated and sanitized before use.
- Configuration files: Validate config files at application startup to catch typos and syntax errors early, before they cause runtime failures.
- Data pipelines: Validate JSON at each stage of ETL pipelines to prevent corrupted data from propagating downstream.
- Before storage: Validate JSON before writing to databases or files to maintain data integrity.
JSON Validation Best Practices
- Validate early, validate often — catch errors at the system boundary (API entry point, file read, user input) rather than deep in your business logic.
- Use schema validation — syntax validation only checks structure. Use JSON Schema to validate that values meet your business rules (required fields, value ranges, string patterns).
- Provide clear error messages — when validation fails, tell the user exactly what is wrong and where. Line numbers and column positions help users fix issues quickly.
- Handle encoding correctly — JSON must be UTF-8 encoded. Watch for BOM (Byte Order Mark) characters at the start of files, which can cause parse failures.
- Set size limits — protect your application from denial-of-service attacks by limiting the maximum size of JSON input you accept.
- Test with edge cases — validate against empty objects
{}, empty arrays[], deeply nested structures, and very large numbers to ensure your parser handles them correctly.
🔗 Related Tools & Resources
Explore these related JSON tools and guides