Code Formatter & Beautifier
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Issue Description
Hint: Describe what you want to build or paste requirements, select target language, and click Generate.
How It Works
- Step 1: Paste minified, poorly formatted, or inconsistent code including compressed JavaScript (single-line with no whitespace), unindented HTML (all tags on one line), compact JSON (no line breaks), or Python with mixed tab/space indentation requiring standardization per PEP 8, Prettier, or language-specific style guides.
- Step 2: Select programming language for parser to apply correct syntax rules—JavaScript (ES6+ with semicolon insertion rules), Python (4-space PEP 8 vs 2-space), JSON (strict 2-space standard), HTML/XML (tag nesting preservation), SQL (keyword capitalization, clause alignment), ensuring language grammar is respected during reformatting.
- Step 3: Formatter engine parses code into Abstract Syntax Tree (AST) preserving semantic meaning while reconstructing text with consistent indentation levels (tabs vs spaces configurable), proper line breaks after statements/blocks, operator spacing (a+b → a + b), bracket alignment, and comment preservation at original positions.
- Step 4: Receive beautified code with professional formatting following industry standards (Prettier for JavaScript, Black for Python, gofmt for Go, rustfmt for Rust) ensuring consistent readability, eliminating style debates in code reviews, and preparing code for version control commits or production deployment.
Manual vs Automated Code Formatting
| Feature | Manual Formatting | AI-Powered Formatter |
|---|---|---|
| Speed | Minutes to hours formatting large files manually | Instant formatting in milliseconds for any file size |
| Consistency | Human errors lead to inconsistent indentation and spacing | Perfect consistency across entire codebase every time |
| Language Support | Must learn formatting rules for each language | Supports 100+ languages with proper syntax rules built-in |
| Configuration | Manual adjustment of tabs, spaces, line breaks | Automatic detection and application of best practices |
| Error Detection | Easy to miss syntax errors while formatting | Identifies and preserves valid syntax while beautifying |
Code Formatting Examples
Example 1: JavaScript Minified to Formatted
const fetchUserData=async(userId)=>{try{const response=await fetch('/api/users/'+userId);if(!response.ok)throw new Error('Failed');return await response.json()}catch(error){console.error(error);return null}};const processData=(data)=>data.map(item=>({id:item.id,name:item.name.toUpperCase(),isActive:item.status==='active'}));export{fetchUserData,processData};const fetchUserData = async (userId) => {
try {
const response = await fetch('/api/users/' + userId);
if (!response.ok) {
throw new Error('Failed');
}
return await response.json();
} catch (error) {
console.error(error);
return null;
}
};
const processData = (data) =>
data.map((item) => ({
id: item.id,
name: item.name.toUpperCase(),
isActive: item.status === 'active',
}));
export { fetchUserData, processData };Key Changes:
The formatter transforms minified JavaScript into readable code following Prettier standards. Minified code uses minimum characters—no spaces around operators, no line breaks, compressed variable names—optimizing file size for production but making debugging impossible. The formatter adds strategic whitespace: spaces around operators (= becomes ' = '), after commas in parameter lists, and around arrow function arrows (=> becomes ' => '). Indentation follows 2-space convention for JavaScript (configurable to 4-space or tabs). Each statement gets its own line—const, if, throw, return—improving scanability. The try-catch block's structure becomes visible with proper nesting. Blank lines separate logical sections (between try block's fetch and error check, between functions). Template literal formatting preserves ${userId} interpolation syntax. The map function with arrow function object return uses consistent parentheses and comma placement. Trailing commas after object properties follow modern JavaScript style preventing git diff noise when adding properties. Export statement formatting shows named exports clearly. This transformation turns production-optimized code into developer-friendly code for debugging, code review, or maintenance. AST-based parsing ensures no functionality changes—only whitespace and layout adjustments.
Example 2: Python Inconsistent to PEP 8 Standard
def calculate_statistics(data_list):
total=sum(data_list)
count=len(data_list)
avg=total/count
sorted_data=sorted(data_list)
median=sorted_data[len(sorted_data)//2]if len(sorted_data)%2!=0 else (sorted_data[len(sorted_data)//2-1]+sorted_data[len(sorted_data)//2])/2
return {'mean':avg,'median':median,'total':total}
class DataProcessor:
def __init__(self,data):
self.data=data
self.results={}
def process(self):
if not self.data:return None
self.results=calculate_statistics(self.data)
return self.resultsdef calculate_statistics(data_list):
"""Calculate mean, median, and total from data list."""
total = sum(data_list)
count = len(data_list)
avg = total / count
sorted_data = sorted(data_list)
# Calculate median based on odd/even length
if len(sorted_data) % 2 != 0:
median = sorted_data[len(sorted_data) // 2]
else:
mid_idx = len(sorted_data) // 2
median = (sorted_data[mid_idx - 1] + sorted_data[mid_idx]) / 2
return {'mean': avg, 'median': median, 'total': total}
class DataProcessor:
"""Process and analyze numerical data."""
def __init__(self, data):
"""Initialize with data list."""
self.data = data
self.results = {}
def process(self):
"""Process data and return statistics."""
if not self.data:
return None
self.results = calculate_statistics(self.data)
return self.resultsKey Changes:
PEP 8 formatting transforms inconsistent Python into standardized code following Python Enhancement Proposal 8 style guide. The original violates multiple PEP 8 rules: no spaces around assignment operators (total=sum vs total = sum), missing blank lines separating functions from classes, inconsistent class indentation (2-space vs 4-space), compressed ternary operators making median calculation unreadable, and missing docstrings. The formatter applies 4-space indentation consistently per PEP 8 standard (never tabs for Python). Spaces around operators improve readability: = becomes ' = ', / becomes ' / ', + becomes ' + '. The complex median ternary expression is expanded into readable if-else block with explanatory comment and intermediate mid_idx variable showing calculation logic. Two blank lines separate function definition from class definition per PEP 8 (module-level separation). Class methods use consistent 4-space indentation with blank line before first method. Docstrings are added following PEP 257 conventions describing module/class/method purpose. Dictionary literal gets spaces after colons ({'mean':avg} becomes {'mean': avg}). Single-line if-return is expanded to multiline for clarity. This formatting makes code suitable for team collaboration, passing automated linters (pylint, flake8), and following conventions expected in Python open-source projects and professional codebases.
Frequently Asked Questions
What formatting standards does the tool follow?
The formatter applies language-specific industry standards: Prettier for JavaScript/TypeScript (2-space indent, semicolons, trailing commas), Black for Python (88-character line length, PEP 8 compliance), gofmt for Go (tabs, brace style), rustfmt for Rust (4-space indent), clang-format for C/C++ (configurable styles like Google, LLVM), PSR-2 for PHP, StandardJS for JavaScript (no semicolons variant), and Rubocop for Ruby. For JSON, strict RFC 8259 with 2-space indentation. For HTML/CSS, consistent tag indentation and property alignment. SQL formatting capitalizes keywords (SELECT, FROM, WHERE) and aligns clauses. These standards are widely adopted in open-source projects, enforced by CI/CD pipelines, and expected in professional development ensuring code consistency across teams and preventing style-related code review debates.
Does formatting change code functionality or behavior?
No, formatting preserves exact functionality. The formatter uses Abstract Syntax Tree (AST) parsing which converts code into a semantic tree structure representing program logic, not text. Whitespace, line breaks, and spacing are reconstructed during tree-to-text conversion without altering semantics. For example, (a+b)*c and (a + b) * c have identical AST representation and runtime behavior—only text layout differs. Comments are preserved at their original positions. However, one exception: Python's whitespace-significant syntax means changing indentation levels would break code, so Python formatters are extra careful maintaining semantic indentation. For all languages, the formatter never modifies variable names, string contents, numeric values, logic operators, or control flow. You can verify by running tests before and after formatting—all tests should pass identically, confirming functional equivalence.
Can I format code with syntax errors?
Partially. Formatters require parseable code to build the AST. Minor syntax errors like missing semicolons (JavaScript auto-inserts them) or trailing commas can be handled. However, major errors like unclosed brackets, missing parentheses, invalid keywords, or unmatched quotes prevent AST generation, causing formatting to fail. In these cases, fix syntax errors first using a linter or debugger, then format. Some smart formatters attempt partial formatting—formatting valid sections while leaving broken sections untouched, with warnings indicating unparseable regions. For malformed JSON, the formatter detects issues like trailing commas (invalid in strict JSON), unquoted keys, or single quotes instead of double quotes, and either auto-corrects or reports errors. Best practice: use linters (ESLint, Pylint) before formatting to catch syntax issues, then apply formatting to syntactically valid code.