Validate JSON data and get detailed error messages with line numbers.
Trailing comma
`{"a": 1,}` — Remove the comma after the last item
Single quotes
`{'key': 'value'}` — Use double quotes: `{"key": "value"}`
Unquoted keys
`{key: "value"}` — Keys must be double-quoted: `{"key": "value"}`
Comments not allowed
`// comment` or `/* */` — Remove all comments from JSON
undefined / NaN
`{"val": undefined}` — Use `null` instead of `undefined` or `NaN`
Missing comma
`{"a": 1 "b": 2}` — Add a comma between items: `{"a": 1, "b": 2}`
Unescaped newlines
Strings cannot contain literal newlines — use `\n` instead
Missing brackets/braces
Ensure every `{` has a `}` and every `[` has a `]`
100% Private — Your JSON Never Leaves Your Browser
All validation and analysis are performed entirely in your browser using client-side JavaScript. No data is sent to any server, stored, or tracked.
JSON validation is the process of checking whether a string of text conforms to the JSON syntax specification (RFC 8259). A valid JSON string can be successfully parsed into a JavaScript object or any other programming language's data structure. The validator checks for proper use of double quotes, correct comma placement, matching brackets and braces, valid value types (string, number, boolean, null, object, array), and proper escaping of special characters within strings.
While JSON is derived from JavaScript object literal syntax, they are not the same. JSON requires double quotes for all strings and property keys, does not allow trailing commas, does not support comments, and cannot contain values like undefined, functions, Date objects, or regular expressions. A JavaScript object literal like `{name: 'John',}` is invalid JSON. Always use a validator to catch these subtle differences before sending data to an API.
When JSON.parse() fails, it throws an error with a character position. Our validator converts this position into human-readable line and column numbers by counting newline characters before the error position. This makes it much easier to locate the exact spot in your JSON that needs fixing, especially in large files with hundreds of lines. The line and column are displayed as badges in the error result card.
Validating JSON before using it prevents runtime errors in your applications. An invalid API response can crash your frontend, a malformed configuration file can prevent your application from starting, and broken JSON data can corrupt your database. Using a validator during development and debugging saves hours of troubleshooting by catching syntax errors immediately with precise location information.
Paste API responses from browser dev tools, Postman, or curl output to instantly check if the server is returning valid JSON. The line and column numbers help you identify server-side bugs in the response format.
Validate JSON configuration files like package.json, tsconfig.json, .eslintrc.json, or AWS CloudFormation templates before deploying. Catch syntax errors that would prevent your application from starting.
Check JSON data from databases, message queues, or ETL pipelines to ensure it is well-formed before downstream processing. Invalid JSON in a pipeline can cause cascading failures.
Validate incoming webhook payloads from services like Stripe, GitHub, or Slack. Many webhooks send JSON that may be malformed if the sender has a bug.
After modifying your data schema, validate that existing JSON data still conforms to the expected format. This is critical during database migrations and API version upgrades.
Students and beginners can paste their JSON and get immediate feedback on what is wrong. The common errors guide below the results teaches proper JSON syntax through practical examples.
Before committing JSON files to version control, validate them to prevent broken configurations from reaching your team. A single invalid JSON file can break the build for everyone.
Minified API responses are hard to read and debug. Validate first to confirm the JSON is correct, then use the Copy Formatted button to get a readable version for inspection.
Format, validate, and beautify JSON data instantly.
Encode and decode Base64 strings and files.
Test and debug regular expressions with real-time matching and highlighting.
Generate MD5, SHA-1, SHA-256, and other hash values from text.
Generate random UUIDs (v4) instantly.
Encode and decode URLs and query parameters.

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