Parallel PDF Generation

VB C#

using IronPdf;
using System.Collections.Generic;
using System.Threading.Tasks;

// Instantiate Renderer
var renderer = new ChromePdfRenderer();

var htmlStrings = new List<string> { "<h1>Html#1</h1>", "<h1>Html#2</h1>", "<h1>Html#3</h1>" };

Parallel.ForEach(htmlStrings, (html) =>
{
    var pdf = renderer.RenderHtmlAsPdf(html);
    // do something with each pdfDocument
});

Imports IronPdf
Imports System.Collections.Generic
Imports System.Threading.Tasks

' Instantiate Renderer
Private renderer = New ChromePdfRenderer()

Private htmlStrings = New List(Of String) From {"<h1>Html#1</h1>", "<h1>Html#2</h1>", "<h1>Html#3</h1>"}

Parallel.ForEach(htmlStrings, Sub(html)
	Dim pdf = renderer.RenderHtmlAsPdf(html)
	' do something with each pdfDocument
End Sub)

Install-Package IronPdf

Parallel PDF Generation

IronPDF has extensive multithreading and parallelism support using the 2021 Chrome Rendering API. This allows developers to take full advantage of the multithreading ability of their computer units to accomplish tasks swiftly.

This example shows how you can work with multiple threads for batch HTML to PDF processing.

This method can quickly become your personal favorite way to work with multiple threads for batch HTML to PDF processing. IronPDF is thread-safe and supports multithreading when using the IronPdf.ChromePdfRenderer rendering engine. There is, however, a multithreading limitation on macOS systems.

The standard sequential foreach loop is provided in parallel via the Parallel.ForEach function in C#. In a typical foreach loop, each iteration only processes one item from the collection, processing the other items one at a time. The Parallel.ForEach method, on the other hand, runs numerous iterations concurrently on various processors or processor cores. The probability of synchronization issues may now be present. Therefore, procedures, where each iteration is independent of the others, are best suited for the loop.