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Validate JSON instantly with our free JSON Validator tool. Check syntax errors, analyze structure, and fix JSON online
⚡ JSON Validator
Instantly validate & analyze your JSON — syntax errors highlighted with line numbers
Input JSON
0 chars
Result
Waiting
Output will appear here...
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Keys
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Depth
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Size
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Root Type
What is the JSON Validator?
Invalid JSON is one of the most frustrating bugs to debug — a single missing comma, an extra bracket or an unquoted key can break your entire application. Our free JSON Validator catches every syntax error instantly and tells you exactly where the problem is.
Unlike basic validators, our tool json verify shows you the error line number, total key count, nesting depth and document size — giving you a full picture of your JSON structure at a glance.
Key Features
- Real-time syntax error detection with exact line and column number
- Shows total key count, maximum nesting depth and file size
- Validates nested objects, arrays and mixed data types
- Highlights specific error location for fast debugging
- Works with large JSON files — no size limits
- 100% browser-based — your data never leaves your device
Who Is This Tool For?
- Developers validating API request and response payloads
- DevOps engineers checking Kubernetes, Docker and CI/CD config files
- Data engineers validating JSON exports before processing
- Frontend developers debugging fetch/axios responses
- Students learning JSON syntax and structure
Frequently Asked Questions — JSON Validator
Q1:What is JSON validation?
JSON validation checks whether your JSON text follows the correct syntax rules defined by the JSON specification (RFC 8259). This includes correct use of quotes, commas, brackets, colons and data types.
Q2:What are the most common JSON errors?
The most common JSON errors are: trailing commas after the last item, single quotes instead of double quotes, unquoted keys, missing commas between items, and mismatched brackets or braces
Q3: Can this validator handle very large JSON files?
Yes. Our validator runs in your browser and can handle large JSON files. For extremely large files (over 10MB), we recommend using a desktop tool like VS Code with a JSON extension
Q4: Does valid JSON mean correct data?
No. A JSON document can be syntactically valid but semantically incorrect — for example, a field might have the wrong data type. For full data validation, use JSON Schema validation.
Q5: What is the difference between JSON lint and JSON validation?
JSON lint and JSON validation are the same thing — both check your JSON for syntax errors. JSONLint is a popular tool name; JSON validation is the general term.
Q6: Why does my API return invalid JSON?
Common causes include: the API returning an error message as plain text instead of JSON, BOM (byte order mark) characters at the start of the response, or HTML error pages being returned instead of JSON
Try the free JSON tools at digitechgenai.com/tools — no signup required.
