PDF Parser Module

The pdf module is designed to handle DICOM encapsulated PDF objects, allowing you to extract and render individual PDF pages as image files. It leverages the PDFium library for PDF rendering, providing high-quality output for medical imaging and documentation workflows.

Features

• PDF to Image Conversion: Extracts and renders PDF pages as PNG images.
• Memory Optimization: Ensures efficient memory management by releasing unused resources.
• File Management Integration: Automatically integrates generated files with the internal File Manager.
• Error Handling: Validates file types and handles common fetch/rendering errors.

API Reference

generateFiles Generates an array of image files from a PDF file.

Syntax

async generateFiles(fileURL: string): Promise<File[]>

Parameters

Parameter	Type	Description
fileURL	string	The URL of the PDF file to be processed.

Returns

An array of File objects representing the PNG images of each PDF page.

Example

const pdfFileURL = "https://example.com/sample.pdf";
const files = await generateFiles(pdfFileURL);

console.log("Generated Files:", files);
// Outputs: Array of PNG file objects

How It Works

Core Workflow

1. Fetching the PDF: The generateFiles function fetches the PDF from the provided URL.
2. Parsing Pages: The PDFium library parses the PDF, extracts individual pages, and renders them as bitmap data.
3. Canvas Rendering: The internal generateFile function converts bitmap data into a PNG using the HTML5 Canvas API.
4. File Creation: Each page is saved as a File object and added to the File Manager.

Error Handling

• Fetch Errors: Handles network or file retrieval errors.
• Invalid File Type: Ensures only valid PDFs are processed.
• Rendering Failures: Detects and handles errors during bitmap conversion.

Limitations

• PDFium Dependency: Requires the PDFium library for rendering, which may not support all PDF features.
• Memory Usage: Large PDF files with numerous pages may require significant memory during processing.
• Rendering Scale: Currently set to 3x scale; adjustments may be needed for specific use cases.