Online JSON Formatter: Quick JSON Beautifier & Validator
Easily read and debug complex, low-readability JSON data at a glance.
Vivoldi JSON Formatter not only prettifies complex code but also provides real-time syntax validation, minification, and escaping tools.
Optimize your data instantly in your web browser without any installation and boost your development productivity.
Your Data is Safe: 100% Client-Side Processing
‘Vivoldi JSON Formatter’ prioritizes your privacy and data security.
- No Server Transmission: All JSON data you enter is not sent to any server.
- Local Processing: All formatting and validation tasks are processed securely in real-time within your web browser.
- Secure API Debugging: Safely debug data containing API keys, passwords, and sensitive personal information without fear of external leaks.
JSON Pretty Print Guide by Programming Language for Developers
When handling JSON data in practice, you often need to format it (Pretty Print) for log output or file storage.
Check out how to handle it directly within the code of major programming languages, in addition to using web tools.
| Language | Code Snippet |
|---|---|
| JavaScript / Node.js | JSON.stringify(obj, null, 2); |
| Python | json.dumps(data, indent=4) |
| Java (Jackson) | mapper.writerWithDefaultPrettyPrinter().writeValueAsString(obj); |
| PHP | json_encode($data, JSON_PRETTY_PRINT); |
| Go | json.MarshalIndent(data, "", " ") |
JSON, XML, YAML Format Comparison
Features of the three most widely used data formats in modern web development environments. Choose the optimal format for your purpose.
| Features | JSON | XML | YAML |
|---|---|---|---|
| Readability | High (Key-Value structure) | Medium (Tag-based structure) | Very High (Indentation-based) |
| Data Size | Lightweight | Relatively heavy | Very lightweight |
| Comment Support | Not supported (Standard) | Supported | Supported |
| Main Use Cases | REST APIs, Web applications | Configuration files, Complex document structures | CI/CD configuration files (Docker, etc.) |
Common JSON Syntax Errors and Solutions
If an error message is displayed in the formatter, please check for the following common mistakes.
- Trailing Comma: Check if there is a comma (‘,’) after the last element. The JSON standard does not allow a comma after the last element.
- Quotes: All keys and string values must use double quotes (‘"’). Single quotes (‘’) will cause a syntax error.
- Brackets: Ensure that the square brackets (‘[]’) representing an array and the curly braces (‘{}’) representing an object are closed in exact pairs.
Have questions?
Check the FAQ.
‘Vivoldi JSON Formatter’ is a tool that prettifies JSON data with low readability.
It goes beyond simple formatting to provide real-time syntax validation, code minification, key sorting, and escape conversion.
In addition to JSON, it supports XML and YAML format conversion and a tree structure view (Tree View), allowing you to grasp complex data structures at a glance.
Yes, it is safe. The Vivoldi online tool processes your data in real-time within the browser without saving it to a server.
You can safely perform optimization tasks without worrying about the leakage of personal information or sensitive API response data.
When you paste JSON data into the input field, Vivoldis real-time syntax validator is instantly activated.
If there is a syntax error, it guides you to the exact line and column where the error occurred with a red highlight.
Through the ‘Syntax Error’ message, you can immediately correct misplaced quotes or commas to complete a valid JSON format.
Yes, we support ‘Full Screen Mode’ for developers using large monitors.
By clicking the full-screen icon in the upper right corner of the screen, you can utilize the full width of the browser to comfortably view large datasets.
Additionally, you can save up to 10 frequently used datasets in your ‘Favorites’ to quickly load them whenever needed.
Absolutely. Using the ‘Key Sort’ feature, you can instantly organize mixed-up JSON keys in ascending (A to Z) or descending (Z to A) order.
You can choose to sort not only at the root level but also within specific objects, making it highly efficient for data comparison and documentation tasks.