Format, minify, validate, and convert JSON and YAML
Paste your JSON or YAML in the input area. You can type it, paste from clipboard, or upload a file.
Choose a mode: Format (pretty-print), Minify (compact), JSON to YAML, or YAML to JSON.
Select indentation (2 or 4 spaces) for formatted output. This only applies when formatting or converting to readable output.
View the result in Raw (text) or Tree (expandable nodes) tab. Use path view to see the path to each value.
Copy the result to clipboard or download as a .json or .yaml file for use in your project.
Optionally paste a JSON Schema and click Validate to check if your JSON conforms to the schema.
Fix any syntax errors shown by the tool. Common issues include missing commas, trailing commas, or unquoted keys.
Use the sample dropdown to load example JSON (user, product, or API response) and try the tool with sample data.
JSON (JavaScript Object Notation) is a lightweight data format used to store and exchange data between systems. It is human-readable and supported by most programming languages.
Valid JSON must have proper syntax: keys in double quotes, correct comma placement, and balanced brackets. The tool will highlight errors and show where they occur.
Minified JSON removes all unnecessary whitespace and newlines to reduce file size. It is commonly used in production for APIs and config files.
YAML is a human-friendly format that converts to JSON. Use the tool to convert between JSON and YAML for config files or data exchange.
Paste your JSON in the input area, choose a mode (format, minify, or convert), and view the result. All processing runs in your browser; nothing is sent to servers.
Yes. The tool runs entirely in your browser. Your data is never uploaded or stored on any server.
Use the tree view to expand and collapse nodes, or the path view to see the path to each value. Copy or download the result for use elsewhere.
Paste a JSON Schema in the schema section and click Validate to check if your JSON conforms to the schema. Invalid paths will be highlighted.
Yes. Use the upload button or paste from clipboard. The tool accepts both JSON and YAML input when converting between formats.
Yes. Format and validate JSON in the tool, then use the copy or download button to use it in your code or API requests.
Always validate JSON data before parsing it in your application. Invalid JSON can cause runtime errors, security vulnerabilities, or silent data corruption.
Stick to one naming style throughout your JSON: camelCase for JavaScript APIs, snake_case for Python/Ruby APIs. Mixing conventions creates confusion for API consumers.
Use JSON Schema to document and validate the structure of your data. Schemas serve as living documentation and enable automated validation in your API pipeline.
Use formatted (pretty-printed) JSON during development for readability. Minify JSON in production to reduce payload size and improve transfer speeds.
Choose descriptive keys (firstName, createdAt) over cryptic abbreviations (fn, cAt). Clear keys make your API self-documenting and reduce the need for external documentation.
Decide whether missing fields should be null, omitted, or use defaults. Document your convention and apply it consistently across all API endpoints.
Always format dates as ISO 8601 strings (2024-01-15T10:30:00Z). This is universally parseable, timezone-aware, and avoids ambiguity between date formats.
Avoid deeply nested JSON structures. Prefer flat or shallow hierarchies where possible. Deep nesting makes JSON harder to read, harder to query, and can cause issues with parsers that have recursion depth limits.
Include a version field in your JSON API responses (e.g., "version": 2). This allows clients to handle multiple versions gracefully during API migrations without breaking existing integrations.
When transmitting large JSON payloads, enable gzip or Brotli compression at the HTTP level. JSON text compresses extremely well (often 70-90% reduction) because it contains repetitive keys and whitespace.
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