Code to PDF Converter

Code Generator
Tools
INPUT
0 chars • 0 lines
1
OUTPUT
0 chars • 0 lines
1

Hint: Describe what you want to build or paste your code, select target language, and click Generate.

We never store your code

How It Works

  1. Step 1: Paste complete code files or functions including imports, class definitions, and methods. Supports syntax from Python (indentation-sensitive), JavaScript (ES6+ with arrow functions), Java (package declarations), C++ (header files with #include directives), and 100+ languages with language-specific parsing.
  2. Step 2: Select programming language from dropdown to apply correct syntax highlighting rules, font rendering (monospace Courier or Consolas), indentation preservation (2-space, 4-space, tabs), and line break handling for PDF layout engine.
  3. Step 3: PDF generator renders code using professional typesetting with consistent character spacing, proper line height for readability, automatic page breaks at logical boundaries (not mid-statement), header/footer with filename and page numbers, and margins optimized for printing.
  4. Step 4: Download formatted PDF with preserved formatting including nested indentation, comment styling, string literals, operator spacing, and code structure ready for documentation, code reviews, portfolio submissions, or archival storage.

Manual vs Automated Code to PDF Conversion

Feature Manual Export AI-Powered Converter
Speed Copy-paste to word processor, adjust formatting, export to PDF Instant PDF generation with one click
Formatting Manual font selection, spacing, and indentation setup Automatic monospace fonts with proper syntax highlighting
Language Support Generic text formatting for all code types Language-specific formatting for 100+ programming languages
Pagination Manual page breaks and layout adjustments Automatic pagination with smart line breaking
Quality Inconsistent results, potential formatting loss Professional PDF output with preserved code structure

Code to PDF Conversion Examples

Example 1: Python Code to PDF

Python Code Input
import numpy as np
from sklearn.linear_model import LinearRegression

class DataAnalyzer:
    """Analyzes datasets using linear regression."""
    
    def __init__(self, data):
        self.data = data
        self.model = LinearRegression()
    
    def train(self, X, y):
        """Train the model on input features and target."""
        self.model.fit(X, y)
        return self.model.score(X, y)
    
    def predict(self, X):
        """Generate predictions for new data."""
        return self.model.predict(X)

# Usage example
analyzer = DataAnalyzer(dataset)
accuracy = analyzer.train(X_train, y_train)
print(f'Model accuracy: {accuracy:.2%}')
PDF Output Output
PDF Document Properties:
─────────────────────────────────
Title: Python Code Export
Language: Python
Generated: 2024-01-15 14:32:01
Pages: 1
Font: Courier New 10pt
Line Spacing: 1.2
Margins: 0.75" all sides

Page 1 Content:
─────────────────────────────────
   1 | import numpy as np
   2 | from sklearn.linear_model import LinearRegression
   3 | 
   4 | class DataAnalyzer:
   5 |     """Analyzes datasets using linear regression."""
   6 |     
   7 |     def __init__(self, data):
   8 |         self.data = data
   9 |         self.model = LinearRegression()
  10 |     
  11 |     def train(self, X, y):
  12 |         """Train the model on input features and target."""
  13 |         self.model.fit(X, y)
  14 |         return self.model.score(X, y)
  15 |     
  16 |     def predict(self, X):
  17 |         """Generate predictions for new data."""
  18 |         return self.model.predict(X)
  19 | 
  20 | # Usage example
  21 | analyzer = DataAnalyzer(dataset)
  22 | accuracy = analyzer.train(X_train, y_train)
  23 | print(f'Model accuracy: {accuracy:.2%}')

Footer: Page 1 of 1 | Generated by Swapcode.ai

Key Changes:

The PDF converter preserves Python's indentation-sensitive syntax critical for code execution. Each indentation level (4 spaces for PEP 8 compliance) is maintained using fixed-width Courier font where every character occupies identical horizontal space, preventing indentation collapse that breaks Python code. Line numbers are added for reference during code reviews or debugging discussions. Docstrings in triple quotes remain intact with their formatting. The f-string syntax (f'Model accuracy: {accuracy:.2%}') is preserved character-for-character including braces and format specifiers. Comments maintain their alignment and # symbols. Import statements at the top are formatted on separate lines per Python conventions. The PDF header includes language metadata useful when archiving code or submitting portfolios. Professional margins ensure the PDF prints correctly on standard letter or A4 paper without code truncation. Monospace fonts prevent alignment issues common with proportional fonts where 'i' and 'w' have different widths. This format is ideal for technical documentation, academic submissions, code portfolio presentations, or printing code for offline review. The preserved formatting allows developers to type the code directly from the PDF without syntax errors caused by formatting loss.

Example 2: JavaScript React Component to PDF

JavaScript/JSX Input
import React, { useState, useEffect } from 'react';
import axios from 'axios';

const UserDashboard = ({ userId }) => {
  const [userData, setUserData] = useState(null);
  const [loading, setLoading] = useState(true);
  
  useEffect(() => {
    const fetchUserData = async () => {
      try {
        const response = await axios.get('/api/users/' + userId);
        setUserData(response.data);
      } catch (error) {
        console.error('Failed to fetch user data:', error);
      } finally {
        setLoading(false);
      }
    };
    
    fetchUserData();
  }, [userId]);
  
  if (loading) return <div>Loading...</div>;
  if (!userData) return <div>No user found</div>;
  
  return (
    <div className="dashboard">
      <h1>Welcome, {userData.name}</h1>
      <p>Email: {userData.email}</p>
      <button onClick={() => window.location.href = '/profile'}>
        Edit Profile
      </button>
    </div>
  );
};

export default UserDashboard;
PDF Output Output
PDF Document Properties:
─────────────────────────────────
Title: UserDashboard.jsx
Language: JavaScript (React)
Generated: 2024-01-15 14:35:22
Pages: 1
Font: Consolas 10pt
Line Spacing: 1.2

Page 1 Content:
─────────────────────────────────
   1 | import React, { useState, useEffect } from 'react';
   2 | import axios from 'axios';
   3 | 
   4 | const UserDashboard = ({ userId }) => {
   5 |   const [userData, setUserData] = useState(null);
   6 |   const [loading, setLoading] = useState(true);
   7 |   
   8 |   useEffect(() => {
   9 |     const fetchUserData = async () => {
  10 |       try {
  11 |         const response = await axios.get('/api/users/' + userId);
  12 |         setUserData(response.data);
  13 |       } catch (error) {
  14 |         console.error('Failed to fetch user data:', error);
  15 |       } finally {
  16 |         setLoading(false);
  17 |       }
  18 |     };
  19 |     
  20 |     fetchUserData();
  21 |   }, [userId]);
  22 |   
  23 |   if (loading) return <div>Loading...</div>;
  24 |   if (!userData) return <div>No user found</div>;
  25 |   
  26 |   return (
  27 |     <div className="dashboard">
  28 |       <h1>Welcome, {userData.name}</h1>
  29 |       <h1>Email: {userData.email}</h1>
  30 |       <button onClick={() => window.location.href = '/profile'}>
  31 |         Edit Profile
  32 |       </button>
  33 |     </div>
  34 |   );
  35 | };
  36 | 
  37 | export default UserDashboard;

Footer: Page 1 of 1 | Generated by Swapcode.ai

Key Changes:

JavaScript and JSX syntax requires precise character rendering for template literals, arrow functions, and JSX tags. The template literal on line 11 uses backticks with ${userId} interpolation—the backslash escaping is preserved in PDF to show actual code syntax. JSX tags like <div> and <button> are rendered with angle brackets intact, not converted to HTML entities. The destructured import statement ({ useState, useEffect }) maintains proper brace spacing. Arrow function syntax (=>) uses actual arrow characters from the font's character set. The async/await pattern with try-catch-finally block preserves nested indentation showing code structure at a glance. The useEffect dependency array [userId] on line 21 shows array brackets correctly. Inline JSX expressions {userData.name} are rendered with curly braces visible. The onClick handler with inline arrow function demonstrates JavaScript event handling syntax preserved for PDF. Monospace Consolas font (alternative to Courier) provides clear distinction between similar characters like 0 (zero) and O (letter O), 1 (one) and l (lowercase L), critical for reading code accurately. This PDF format is perfect for React component documentation, technical interview submissions, code review printouts for in-person meetings, or archiving component implementations for project documentation where developers need to reference exact syntax including JSX structure and React hooks usage.

Frequently Asked Questions

How does code to PDF conversion preserve formatting?

The converter uses professional PDF generation libraries that render code with monospace fonts (Courier, Consolas, Monaco) where every character occupies identical width. This preserves critical formatting elements: Python indentation (4 spaces), nested blocks, aligned comments, and operator spacing. The PDF engine converts text to vector graphics, ensuring code appears identical across all PDF viewers (Adobe Reader, Chrome, macOS Preview). Line numbers are added as a separate column, maintaining alignment even with varying code line lengths. Headers include metadata (language, timestamp, filename), footers show page numbers. Each page uses consistent margins (0.75 inches) optimized for standard paper sizes (Letter, A4). For multi-page code files, the paginator breaks at statement boundaries, never splitting a function mid-declaration or breaking a string literal across pages.

Which programming languages support PDF export?

Over 100 programming languages are supported including Python, JavaScript, TypeScript, Java, C, C++, C#, Go, Rust, PHP, Ruby, Swift, Kotlin, R, MATLAB, Scala, Perl, Haskell, Objective-C, and more. Markup languages include HTML, CSS, XML, JSON, YAML, Markdown, LaTeX. Query languages like SQL (MySQL, PostgreSQL, T-SQL), GraphQL, and MongoDB queries are supported. The converter detects language-specific syntax patterns: Python's significant whitespace, JavaScript's ES6+ features (arrow functions, template literals, destructuring), C++'s template syntax, Java's annotations, and React's JSX. Each language applies appropriate formatting rules ensuring the PDF matches how the code appears in professional IDEs like VS Code, IntelliJ, or PyCharm.

Can I export code with syntax highlighting to PDF?

Currently, the PDF export generates clean black-and-white formatted code without color syntax highlighting, prioritizing readability and print quality. Monospace fonts and consistent indentation make code structure clear without relying on color. This approach ensures PDFs print clearly on black-and-white printers without losing information encoded in colors. The format is optimized for professional documentation, academic submissions, and archival purposes where syntax highlighting may not be necessary. Future versions may include optional color syntax highlighting for on-screen viewing. The black-and-white format also reduces file size significantly—a 1000-line code file generates a ~50KB PDF versus 500KB+ with embedded color graphics. For presentations requiring color, we recommend using screenshot tools or code-to-image converters instead of PDF export.