JSON Formatter
Format, minify, and validate JSON data. Instant feedback with error location.
What is a JSON Formatter?
A JSON formatter (also called a JSON prettifier or beautifier) takes minified or poorly-formatted JSON and transforms it into a human-readable format with proper indentation and line breaks. JSON (JavaScript Object Notation) is the universal data interchange format used in REST APIs, configuration files, NoSQL databases, and logging systems. While machines process minified JSON efficiently, humans need formatted JSON to understand data structures and debug issues.
Developers and DevOps engineers use JSON formatting daily when debugging API responses from curl or Postman, inspecting Kubernetes resource definitions (kubectl get pod -o json), analyzing CloudWatch or Datadog log entries, reviewing Terraform state files, and working with package.json or tsconfig.json configurations. This formatter processes everything in your browser with no data sent to external servers, making it safe for formatting JSON containing sensitive data like API keys, tokens, or internal service responses.
Frequently Asked Questions
How to format minified JSON?
Paste your minified JSON into the input field and it will be automatically formatted with 2-space indentation. In the terminal, you can pipe JSON through python3 -m json.tool or jq . to format it. For example: curl https://api.example.com/data | jq . formats API responses beautifully with syntax highlighting.
How to validate JSON syntax?
If JSON formatting fails with an error, the syntax is invalid. Common JSON errors include trailing commas (not allowed in JSON unlike JavaScript), single quotes instead of double quotes, unquoted keys, and missing commas between elements. The error message typically indicates the line and character position where parsing failed, helping you locate the issue quickly.
What is the difference between JSON and JSONL?
JSON is a single valid JSON document (object or array), while JSONL (JSON Lines) is a format where each line is a separate valid JSON object. JSONL is commonly used for log files, streaming data, and large datasets because it can be processed line-by-line without loading the entire file into memory. Tools like jq can process both formats, and many logging systems (like CloudWatch Logs) output in JSONL format.