Category News

손쉽게 이미지를 PDF로 생성하세요

2월 11, 2026

하나 이상의 이미지를 단일 고품질 PDF로 변환하여 다양한 디바이스 및 플랫폼 전반에서 쉽게 공유하고, 인쇄하고, 보안을 유지하고, 일관되게 사용할 수 있습니다.

Image-to-PDF conversion transforms one or more image files into a single, standardized PDF document, maintaining image quality and consistent layout. Converting images to PDF improves accessibility across devices and platforms, simplifies sharing and printing, and helps organize multiple images into one professional file. It also supports features such as compression and security, making documents easier to store and protect. Common use cases include compiling scanned documents or receipts, creating reports from images, and sharing visual records in a reliable, universally supported format.

Several .NET PDF components allow you to convert images to PDF, including:

Aspose.PDF for .NET lets you convert images into high-quality PDFs programmatically, preserving layout, resolution, and security within .NET applications.
ComponentOne WinForms PDF (part of ComponentOne Studio WinForms by MESCIUS) allows you to combine images into PDFs with precise control over layout and compression.
IronPDF for .NET facilitates image-to-PDF conversion with simple APIs, enabling fast document creation, customization, and secure distribution in applications.
GroupDocs.Conversion for .NET lets you transform images into PDFs at scale, supporting batch processing, consistent formatting, and flexible integration scenarios.

For an in-depth analysis of features and price, visit our comparison of PDF components for .NET.

Compare .NET PDF Components

자동 그리드 계산으로 데이터를 요약하세요

2월 11, 2026

합계, 평균, 최소값, 최대값을 자동으로 계산하는 내장된 그리드 집계 기능을 통해 정보에 기반한 결정을 더 빠르게 내리세요.

Aggregation in grids is the ability to automatically calculate summary values such as sums, averages, minimums, and maximums directly within tabular data views. By displaying these calculations alongside the underlying data, users can quickly understand trends, compare values, and identify outliers. This enables faster, more informed decision making. Typical use cases include showing total sales figures, calculating average performance metrics, tracking minimum and maximum thresholds, and summarizing financial, operational, or analytical data in real time within business applications.

Several React grid controls offer aggregation including:

DevExtreme React Data Grid (part of DevExtreme Complete) lets you calculate sums, averages, minimums, and maximums within grids.
KendoReact Data Grid Part of KendoReact by Telerik) allows you to summarize tabular data with built in aggregation, supporting totals and averages.
Infragistics Ignite UI for React Data Grid (part of Infragistics Ignite UI) facilitates grid aggregation, helping teams compare values and monitor thresholds.
Syncfusion React Data Grid (part of Syncfusion Essential Studio Enterprise) lets you apply flexible aggregation to grids, displaying totals and averages.

For an in-depth analysis of features and price, visit our React grid controls comparison.

Compare React Grid Controls

강력한 플러그인 도구로 IDE 기능을 확장하세요

2월 11, 2026

JetBrains All Products Pack은 모든 IDE에서 기능을 확장하고 발전하는 기술을 지원하기 위해 풍부한 플러그인 생태계를 제공합니다.

The JetBrains All Products Pack provides access to a comprehensive suite of JetBrains tools, including 12 IDEs, 3 extensions, and 2 profilers, all under one unified license. This flexible solution allows users to switch between tools across multiple machines, adapting to different projects with ease. With a single license, you benefit from simplified license management and significant cost savings - 12 IDEs for the price of two. The All Products Pack is designed to advance your skills by giving you unlimited access to industry-leading professional tools, empowering efficient, high-quality development across a variety of languages and platforms.

The JetBrains All Products Pack provides access to a vibrant plugin ecosystem that enables developers to extend and customize their IDEs to meet specific project requirements. Through a wide selection of official and community-built plugins, it supports additional languages, frameworks, integrations, and productivity tools beyond the default feature set. This flexibility allows teams to standardize tooling across multiple JetBrains IDEs, integrate essential services such as version control and CI/CD platforms, and continuously adapt their development environment as technologies and project demands evolve.

JetBrains All Products Pack is licensed per user as a commercial annual subscription. We can supply new subscriptions, subscription renewals, lapsed subscription renewals, and additional developer licenses. See our JetBrains All Products Pack licensing page for full details.

For more information, see our JetBrains All Products Pack product page.

Java 웹 앱에서 JavaScript 보고서를 사용하세요

2월 10, 2026

ActiveReportsJS를 활용하여 서버 측 보고 기능에 대한 종속성 없이 Java 웹 애플리케이션에 완전한 클라이언트 측 JavaScript 보고 도구를 추가하세요.

ActiveReportsJS is a powerful, lightweight reporting tool designed to integrate advanced reporting capabilities into any JavaScript application. ActiveReportsJS enables developers to create, view, export, and print richly formatted reports entirely on the client side - with zero server dependencies.

In this blog post, MESCIUS Product Engineer Sergey Abakumoff shows you how to integrate ActiveReportsJS, a 100% client-side JavaScript reporting tool with zero server dependencies, into a Java web application. Following his steps you will learn how to:

Create a Java application serving a JSON API using Spring framework
Initialize the data from a CSV file
Configure JSON API endpoints
Create an ActiveReportsJS report to visualize the data from the JSON API
Create a static HTML page to display the report in the report viewer

Detailed sample code is included to help you along.

Read the full blog to get started adding rich reporting capabilities to your Java web applications.

ActiveReportsJS is licensed on an annual subscription or perpetual basis and is available as a Single Deployment License for non-commercial use, and as a Single Domain License or Unlimited Domain License for commercial and/or SaaS use. See our ActiveReportsJS licensing page for full details.

For more information, visit our ActiveReportsJS product page.

웹 애플리케이션 전반에서 데이터 입력을 간소화하세요

2월 10, 2026

JavaScript 데이터 편집기를 통해 텍스트, 수치, 불리언 필드(boolean field)를 활용한 최신 인터페이스를 설계하여, 유효하고 효율적이며 직관적인 데이터 입력을 지원하세요.

Text, numeric, and boolean data editor components for JavaScript provide the fundamental building blocks for capturing and validating user input in web applications. These editors are designed to handle a wide range of data types and interaction patterns, helping developers present consistent, accessible, and predictable input experiences across forms, grids, and dialogs while integrating cleanly with application logic and data models.

Common editors include:

Masked Input Text Box restricts text entry to a defined format, such as phone numbers, dates, or identification codes, ensuring data is captured in a consistent and expected structure.
Numeric Spin allows users to enter numeric values using direct input or increment and decrement controls, often supporting constraints such as minimums, maximums, and step values.
Button Editor combines a text field with one or more embedded buttons to trigger actions such as lookups, dialogs, or calculations related to the entered value.
Checkbox represents boolean values using a simple on or off state, commonly used for options, preferences, and feature flags.
Text Box provides free-form text input for strings, supporting features such as validation, placeholders, and length limits.
Radio Group presents a set of mutually exclusive options, allowing users to select a single value from a predefined list.
Toggle Switch offers a modern alternative to checkboxes for boolean input, visually emphasizing the enabled or disabled state.
RTF Editor supports rich text formatting, enabling users to enter styled content such as bold text, lists, and links while maintaining structured output.
Token Box manages multiple discrete values within a single field, often used for tags, email addresses, or selected items from a data source.