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마이그레이션 가이드

C#에서 ZetPDF에서 IronPDF로 마이그레이션하는 방법

IronPDF v2026.6 renders a small business report to PDF in 318 ms, down from 714 ms in v2025.1, using 31 KB of peak memory instead of 113 KB. Same input, same method call, just 2.2 times faster. Quantified insights and data down below will show where exactly those differences could affect your existing workflow or change it for the better.

Where do the gains show up?

We ran the same operations on both versions across a range of document profiles. The legacy version was tested first (IronPDF v.2025.1). The table below reports absolute numbers so you can find the comparison metric that is useful to you.

A Year of IronPDF Improvements: Image 1

Operation - HTML to PDF

Document - Business Report

Mode - Single

Metric IronPDF 2025.1 IronPDF 2026.6 Improvement
Processing time 714 ms 318 ms 55% faster
Peak memory 113 KB 31 KB 73% lower

The memory column is worth a second look. Peak memory per render fell from 113 KB to 31 KB, and per-operation memory is what decides how many documents a server can render at once before it runs out of headroom. On a laptop the difference is invisible, however, under concurrent load, it is capacity you no longer have to pay for.

Will upgrading versions break anything?

The short answer is no, and this is the part that actually decides whether the numbers above matter to you.

These gains live behind the same API. The work happened inside existing methods, so RenderHtmlAsPdf is still the same and your calling code does not change. Moving from your old version to the latest version is a NuGet version bump, not a migration. Compatibility and optimization are separate things, and you can take the speed without taking a rewrite.

The latest version is fully compatible with .NET 10, making it easy to keep your document workflows up to date as your applications move to the latest .NET releases.

What has actually changed?

Faster numbers come from specific changes, not general effort, and the specific change is the interesting part.

One or two changes described that concretely tell the reader more than any amount of "we optimized the pipeline," and they are the evidence that the library is actively worked on rather than coasting. Link the commits or changelog entries so the claim is checkable.

How is it measured?

Speed and memory are two different questions, so we measure them with two different tools rather than one number that blurs both.

A Year of IronPDF Improvements: Image 2

Speed is measured with an established benchmarking library. It repeats each test on its own, as many times as it needs to until the timing settles and stops moving, then reports the stable result.

Peak memory is the highest amount of memory a single render uses while it runs, the same spike you would see in Task Manager, which is what tells you how much headroom each document needs on your server.

Put it on your own documents

Already running IronPDF?

Everything above is sitting in the latest version right now, on the same API you already call. Update the version and your next render is faster and lighter than today's.

New to IronPDF? Try IronPDF Free for 30 Days.

Curtis Chau
기술 문서 작성자

커티스 차우는 칼턴 대학교에서 컴퓨터 과학 학사 학위를 취득했으며, Node.js, TypeScript, JavaScript, React를 전문으로 하는 프론트엔드 개발자입니다. 직관적이고 미적으로 뛰어난 사용자 인터페이스를 만드는 데 열정을 가진 그는 최신 프레임워크를 활용하고, 잘 구성되고 시각적으로 매력적인 매뉴얼을 제작하는 것을 즐깁니다.

커티스는 개발 분야 외에도 사물 인터넷(IoT)에 깊은 관심을 가지고 있으며, 하드웨어와 소프트웨어를 통합하는 혁신적인 방법을 연구합니다. 여가 시간에는 게임을 즐기거나 디스코드 봇을 만들면서 기술에 대한 애정과 창의성을 결합합니다.

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