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JSON Validator

Validate JSON instantly — find syntax errors, validate against JSON Schema, compare two documents side by side, and auto-fix common issues. Free, fast, and 100% browser-based — your data never leaves your machine.

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How to Use the JSON Validator

  1. Validate syntax — Paste your JSON and click "Validate JSON." The tool checks for syntax errors, shows precise line/column locations, and optionally auto-repairs common issues like trailing commas, single quotes, and unquoted keys.
  2. Validate against a schema — Switch to Schema mode, paste your JSON data on the left and a JSON Schema on the right. Click "Validate Against Schema" to check types, required fields, patterns, and constraints. Use "Generate Schema" to auto-create a schema from sample data.
  3. Compare two JSON documents — Switch to Compare mode, paste your two JSON documents side by side, and click "Compare." The semantic diff engine shows additions, removals, and changes with exact JSONPath locations — ignoring key order differences.

About the JSON Validator

JSON (JavaScript Object Notation) has become the universal data interchange format for modern web development. APIs return it, configuration files rely on it, databases store it, and front-end applications consume it everywhere. But JSON is notoriously strict about its syntax — a single trailing comma, an unquoted key, or a misplaced bracket can silently break an entire application. That is where a reliable JSON validator becomes essential.

Syntax errors in JSON can cause cascading failures across your stack. A malformed API response will crash your front-end parser. A broken package.json will prevent npm install from running. An invalid configuration file will cause your server to fail at startup with a cryptic error message. Our JSON validator catches these issues instantly, pinpointing the exact line number, column number, and nature of every error — so you can fix problems in seconds instead of debugging for hours.

Beyond basic syntax checking, JSON Schema validation is critical for maintaining data integrity in production systems. A JSON Schema defines the expected structure, data types, required fields, value constraints, and relationships within your data. When you validate incoming API payloads against a schema, you catch malformed requests before they reach your business logic. When you validate outgoing responses, you guarantee contract compliance with your API consumers. Our Schema mode supports type checking, required fields, string patterns, numeric ranges, enum values, array constraints, and deeply nested object validation.

The JSON diff and compare capability solves another common pain point. When debugging API responses, comparing config files between environments, or reviewing data changes in pull requests, you need a semantic comparison — not a line-by-line text diff. Our compare engine performs a deep structural comparison that understands JSON semantics: two objects with the same keys in different order are treated as identical. Differences are categorized as additions, removals, or value changes, each with the exact JSONPath so you know precisely where and what changed.

What makes this tool unique is that it combines all three capabilities — syntax validation, schema validation, and structural comparison — in a single, fast, browser-based interface. Most online JSON validators only check syntax. Most schema validators are separate tools. Most diff tools are general-purpose text comparers that do not understand JSON structure. Here, you get all three in one place, with auto-repair options that can fix trailing commas, single quotes, unquoted keys, and JSONC comments automatically.

Privacy first: all processing happens 100% in your browser using client-side JavaScript. Your JSON data is never uploaded to any server, never logged, and never stored anywhere. This makes it safe to validate sensitive data — API keys, user records, financial payloads — without any privacy risk. Need to format or beautify your JSON after validating it? Use our JSON Formatter tool to pretty-print with syntax highlighting and tree view.

The tool works with any JSON — API responses, package.json, tsconfig.json, GeoJSON, JSON-LD structured data, Firebase rules, AWS CloudFormation templates, Docker Compose overrides, and any other JSON-based configuration or data format you work with.

Frequently Asked Questions

How do I check if my JSON is valid?
Paste your JSON into the input area and click Validate JSON. The tool instantly parses your code and shows a clear Valid or Invalid verdict. If invalid, it pinpoints the exact error location with line number, column number, and a description of what went wrong. You can also enable auto-repair options to fix common issues like trailing commas, single quotes, and unquoted keys automatically.
What is JSON Schema validation?
JSON Schema is a standard that describes the structure, data types, and constraints your JSON data must follow. For example, a schema can require that a user object must have a name field of type string and an age field of type integer. Our Schema mode lets you paste both your JSON data and a JSON Schema, then validates that your data conforms to every rule in the schema — checking types, required fields, patterns, min/max values, and more.
How do I fix broken JSON?
Enable the auto-repair options before validating. The tool can automatically fix trailing commas, convert single quotes to double quotes, add quotes to unquoted keys, and strip JSONC-style comments. Click Validate and it will repair what it can, then show you what was fixed. For errors that cannot be auto-repaired, the tool shows the exact line and column so you can fix them manually.
What is the difference between a JSON validator and a JSON formatter?
A JSON validator checks whether your JSON is syntactically correct and optionally whether it conforms to a schema — it answers the question is this valid? A JSON formatter takes valid JSON and reformats it with proper indentation and line breaks for readability. Use a validator when you need to verify correctness (before deploying, after receiving API data). Use a formatter when you need to read or inspect JSON. Our JSON Formatter tool handles formatting and beautification.
Can I validate JSON against a schema online?
Yes. Switch to Schema mode, paste your JSON data in the left panel and your JSON Schema in the right panel. The tool validates your data against the schema entirely in your browser. It supports type checking, required fields, string patterns, numeric ranges, enum values, array constraints, and nested object validation. You can also generate a schema from sample JSON with one click.
How do I compare two JSON files?
Switch to Compare mode, paste your first JSON in the left panel and the second in the right panel, then click Compare. The tool performs a deep, semantic comparison that ignores key ordering — it knows that two objects with the same keys in different order are identical. Differences are color-coded: green for additions, red for removals, and yellow for changed values, with the exact JSONPath for each difference.
What are the most common JSON syntax errors?
The most frequent mistakes are: missing or extra commas (especially trailing commas after the last item), unquoted keys (JSON requires double quotes around all keys), using single quotes instead of double quotes, missing closing brackets or braces, and unescaped special characters inside strings. Our auto-repair options can fix most of these automatically.
Is my data safe when using this online JSON validator?
Yes, completely. All validation, schema checking, and comparison happens 100% in your browser using client-side JavaScript. Your JSON data is never uploaded to any server, never logged, and never stored anywhere except optionally in your browser's localStorage as a draft. Close the tab and it's gone. No signup, no tracking, no data collection.

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