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A TypeScript utility that converts PDF documents into structured JSON data while preserving text content, formatting, and hyperlinks. Perfect for resume parsing, document analysis, and content extraction workflows.

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shilendra-dev/pdfToJSON

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PDF to JSON Converter

A TypeScript utility that converts PDF documents into structured JSON data while preserving text content, formatting, and hyperlinks. Perfect for resume parsing, document analysis, and content extraction workflows.

✨ Features

  • Text Extraction: Extract text content with precise positioning and styling
  • Hyperlink Detection: Capture clickable links with their coordinates and target URLs
  • Font Preservation: Maintains font information for each text element
  • Multi-page Support: Processes documents of any length
  • Type Safety: Built with TypeScript for better development experience
  • Lightweight: Minimal dependencies

📦 Installation

Prerequisites

Make sure you have the following installed on your system:

  • Node.js (v16 or higher)
  • npm (v7 or higher) or yarn

Install the package

Using npm:

npm install @shilendra-dev/pdf-to-json

Or using yarn:

yarn add @shilendra-dev/pdf-to-json

Peer Dependencies

This package requires the following peer dependencies which will be installed automatically:

  • pdfjs-dist: ^3.4.120 (PDF.js library for PDF parsing)
  • @types/node: ^18.0.0 (TypeScript types for Node.js)

🚀 Usage

import { pdfToJson } from '@shilendra-dev/pdf-to-json';
import fs from 'fs/promises';

async function convertPdfToJson() {
  try {
    // Read PDF file
    const pdfBuffer = await fs.readFile('path/to/your/document.pdf');

    // Convert to JSON
    const result = await pdfToJson(pdfBuffer, {
      outputPath: 'output.json'  // Optional: Path to save the JSON output
    });

    console.log('Conversion complete!');
    console.log(`Processed ${result.numPages} pages`);
  } catch (error) {
    console.error('Error converting PDF:', error);
  }
}

convertPdfToJson();

📝 API

pdfToJson(pdfSource: Buffer | string, options?: PdfToJsonOptions): Promise<PdfJsonResult>

Converts a PDF document to JSON.

Parameters:

  • pdfSource: PDF file as Buffer or file path
  • options: (Optional) Configuration options
    • outputPath: (string) Path to save the JSON output file
    • includeTextContent: (boolean) Whether to include raw text content (default: true)
    • includeStyles: (boolean) Whether to include font and style information (default: true)
    • includeLinks: (boolean) Whether to include hyperlinks (default: true)

Returns: Promise that resolves to the parsed PDF data

📂 Output Format

The converter generates a JSON object with the following structure:

{
  numPages: number;
  pages: Array<{
    pageNumber: number;
    width: number;
    height: number;
    items: Array<{
      type: 'text' | 'link';
      content: string;
      x: number;
      y: number;
      width: number;
      height: number;
      fontFamily?: string;
      fontSize?: number;
      color?: string;
      url?: string;  // For links
    }>;
  }>;
}

🔍 Example

import { pdfToJson } from '@shilendra-dev/pdf-to-json';

// Convert PDF from URL
const response = await fetch('https://example.com/document.pdf');
const pdfBuffer = await response.arrayBuffer();
const result = await pdfToJson(Buffer.from(pdfBuffer));

// Process the extracted data
result.pages.forEach(page => {
  console.log(`Page ${page.pageNumber} (${page.width}x${page.height}):`);
  console.log(`- Contains ${page.items.length} text items`);
});

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.


Made with ❤️ by Shilendra Singh

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A TypeScript utility that converts PDF documents into structured JSON data while preserving text content, formatting, and hyperlinks. Perfect for resume parsing, document analysis, and content extraction workflows.

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