The Awesome JSON formatter was designed to make working with raw JSON much easier, especially when the data is compacted into a single line with no formatting. Since unformatted JSON can be difficult to interpret, this tool helps by presenting it in a clean, readable format — making it far more accessible for developers to read, understand, and debug.
To enhance its usefulness, JSON validation features were introduced based on Douglas Crockford’s original guidelines from RFC 4627, as published on json.org. Over time, support was extended to include modern standards like RFC 8259 and ECMA-404, allowing broader compatibility and stricter validation when needed.
One of the latest improvements is the automatic error correction function. When turned on, it can intelligently fix common issues in malformed JSON, such as mismatched or missing quotes, improperly cased literals, stray characters, invalid keys, comments, and extra commas — helping users quickly recover from syntax errors.
JSON (JavaScript Object Notation) is an open data format that is not tied to any specific programming language. It uses a readable text structure to represent data in key-value pairs.
Although it originated in JavaScript, JSON is now widely supported. You can easily generate and process it using many programming languages such as JavaScript, Python, PHP, Ruby, and Java.
Want to learn more about JSON? Check out the resources below for further information.
If you're unsure which to choose, we recommend validating your JSON using the latest standard, RFC 8259 — it offers the best compatibility across systems.
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Simply paste in your JSON code, and press the "Parse JSON" button, and your code will be automatically turned into a beautiful and readable JSON format.
JSON is widely recognized as the go-to format for exchanging data across web platforms and APIs. Whether you're a developer inspecting API responses, a data analyst reviewing structured exports, or a QA specialist validating output, using a JSON formatter and validator simplifies the process. It not only enhances readability but also ensures that the data structure is accurate — saving time and minimizing potential mistakes.
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