Free Online JSON Formatter & Beautifier
Free online JSON Formatter to beautify and structure JSON data with clean indentation and syntax highlighting. Improve readability, understand nested objects, and work confidently with JSON structures.
JSON Input
Formatted Outputs
No formatted outputs yet. Click "Format" to generate your first version.
Ready to Format Your JSON Files?
Join thousands of developers who trust our OJF for their daily workflow. Fast, reliable, and completely free.
JSON Specifications Simplified: RFC vs ECMA
What is an RFC?
RFC (Request for Comments) is like the Internet’s Rulebook. Created by the IETF, these documents define how things move across the web. If you’ve ever used an API, you’ve used HTTP, which is defined by RFCs.Think of it as a giant, evolving conversation where engineers agree on standards so that a server in Japan can talk to a laptop in Brazil without any translation issues.What is ECMA?
ECMA (specifically ECMA-262) is the Language Architect. While RFCs focus on communication, ECMA focuses on execution. It provides the official standard for JavaScript (known as ECMAScript).Without ECMA, your JSON data might be handled differently by every browser, leading to total chaos for developers. ECMA ensures that `console.log(Hello)` works the same way everywhere.The Key Differences
- Focus: RFCs are about Networking and Protocols (The How it travels). ECMA is about Scripting and Logic (The How it works).
- Real-world Example: RFC 8259 defines how JSON should be formatted so it can be sent over the wire. ECMA-262 defines how JavaScript parses that JSON into an object.
- Authority: RFCs come from the IETF; ECMA standards come from Ecma International.
How to format JSON data in Python
Formatting JSON with the built-in json module
The built-in json module in Python allows you to pretty-print and format JSON data with indentation and key sorting.
# No installation required
import json
raw_json = '{"name":"Alice","age":30,"skills":["Python","SQL"]}'
parsed = json.loads(raw_json)
formatted_json = json.dumps(parsed, indent=4, sort_keys=True)
print(formatted_json)Formatting JSON using Pandas
Pandas can be used to normalize and reformat JSON data, making it easier to inspect and structure complex JSON objects.
# Installation: pip install pandas
import pandas as pd
import json
raw_json = '{"users":[{"id":1,"name":"Alice"},{"id":2,"name":"Bob"}]}'
data = json.loads(raw_json)
df = pd.json_normalize(data['users'])
print(df)Formatting JSON with jq via Python
jq is a lightweight command-line JSON processor that can be invoked from Python to format and filter JSON output.
# Requires jq installed on system
import subprocess
raw_json = '{"z":1,"a":2}'
process = subprocess.run(['jq', '.'], input=raw_json, text=True, capture_output=True)
print(process.stdout)How to format JSON in other languages
Formatting JSON in Node.js
Node.js provides native JSON utilities to parse and stringify JSON with proper indentation for readability.
// No installation required
const rawJson = '{"name":"Alice","age":30}';
const parsed = JSON.parse(rawJson);
const formattedJson = JSON.stringify(parsed, null, 2);
console.log(formattedJson);Formatting JSON in Java
Jackson is a popular Java library that can parse and pretty-print JSON data with minimal configuration.
// Required dependency: jackson-databind
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.ObjectWriter;
String rawJson = "{\"name\":\"Alice\",\"age\":30}";
ObjectMapper mapper = new ObjectMapper();
Object jsonObj = mapper.readValue(rawJson, Object.class);
ObjectWriter writer = mapper.writerWithDefaultPrettyPrinter();
String formattedJson = writer.writeValueAsString(jsonObj);
System.out.println(formattedJson);Key Features of OJF
Take control of your data - everything in one place
Formatting Features
- Clean Beautification: Convert compact or unstructured JSON into a well-indented, readable format.
- Structured Tree View: Expand and collapse nested objects and arrays for better data exploration.
- Indentation Control: Choose 2-space, 4-space, or tab-based indentation to match coding standards.
- Readable Hierarchy: Clearly visualized key-value relationships for complex JSON structures.
- Download Formatted Output: Save beautified JSON files for reuse or documentation.
Advanced Capabilities
- Large JSON Handling: Smoothly formats large JSON payloads without freezing the browser.
- Syntax Highlighting: Visual distinction between keys, values, objects, and arrays.
- Client-Side Processing: JSON data is processed locally for maximum privacy.
- File & Paste Input: Format JSON by pasting content or uploading files.
- Responsive Interface: Optimized for desktop, tablet, and mobile screens.
Common Use Cases
- API Response Readability: Understand structured API data at a glance.
- Configuration File Formatting: Improve clarity of JSON-based config files.
- Documentation Preparation: Present clean JSON examples in guides or specs.
- Data Exploration: Inspect deeply nested objects and arrays easily.
- Learning JSON: Ideal for students understanding JSON structure and hierarchy.
Why Choose Us?
| Feature | Online JSON Formatt(OJF) | Other Tools |
|---|---|---|
| Client-side formatting | Often server-based | |
| Readable tree structure | Limited or unavailable | |
| Indentation control | Basic options | |
| Large JSON support | Optimized for large files | Performance issues |
| Privacy-first design | No data leaves browser | Data processed on servers |
| No account required |