What's New in Essential Studio^® Document SDK

New Control

Smart Data Extractor (preview)

Introducing a high-performance, deterministic C# library that extracts complete document structures from PDFs and images. Designed for .NET workflows, it analyzes visual layout lines, boxes, labels, and alignment to locate and extract elements such as table structure, text elements, images, headers, footers, and form fields with per-field confidence scores for immediate review, export, or integration.

Key features:

• Document structure extraction: Identify text elements, images, headers, footers, and tables (including regions, header rows, columns, cell boundaries, and merged cells).

• File format support: Works with PDF documents and common image formats such as JPEG and PNG.

• Table extraction: Specialized capability to extract tabular data.

• Form recognition: Detects and processes structured form data.

• Page-level control: Extract data from specific pages or defined page ranges.

• Confidence threshold: Results are filtered based on a configurable confidence score (0.0–1.0).

Smart Table Extractor (preview)

A focused, high-accuracy C# library for detecting and extracting tabular data from scanned images and PDFs. It detects table regions, header rows, columns, and cell spans (merged cells) and provides per-cell confidence scores and structured exports ready for downstream processing.

Key features:

• Table structure extraction: Identifies table regions, header rows, columns, row and column spans, and cell boundaries.

• File format support: Compatible with PDF documents and common image formats such as JPEG and PNG.

• Border type handling: Extract both bordered and border-less tables.

• Page-level control: Extract tables from specific pages or defined page ranges.

• Confidence threshold: Filter results based on a configurable confidence score (0.0–1.0).

• Output options: Export results as clean, structured JSON files or as a digitally reconstructed PDF, depending on your workflow needs.

Smart Form Recognizer (preview)

Introducing the Smart Form Recognizer, a deterministic C# library for .NET that reliably detects form data in PDFs and scanned images. By analyzing visual layout cues—lines, boxes and circles—it locates form regions and extracts common controls (text fields, checkboxes, radio buttons, signatures), producing clean JSON with per-field confidence scores. Where form fields are detected, the library can also produce a fillable PDF with corresponding form fields added for immediate use.

Key features:

• Form layout detection: Locates form regions using graphical heuristics (lines, boxes, circles) for consistent field discovery.

• Fillable PDF: Create a PDF with detected form fields added so documents are immediately usable in form workflows.

• Page-level control: Process specific pages or page ranges for targeted extraction.

• Multi-format support: Works with PDF, JPEG, PNG and other common image formats.

• Confidence scoring: Per-field confidence scores with configurable thresholds to control output quality and drive review logic.

• Ready for .NET integration: Deterministic, on-premises library that outputs JSON and integrates into existing .NET pipelines and review UIs.

• Output options: Export results as clean, structured JSON files or as a digitally reconstructed PDF with fillable forms, depending on your workflow needs.

Common

Unified Font Manager

A new FontManager class has been introduced to provide a unified and optimized font‑caching system shared across all document-conversion libraries, including Word‑to‑PDF, Excel‑to‑PDF, PowerPoint‑to‑PDF, and PDF‑processing workflows. This centralized font management significantly optimizes the performance and memory usage in multi‑threaded conversions by preventing redundant font loading.

• Shared font caching: Stores the fonts in a unified cache to avoid repeated loading.

• Memory reduction: Eliminates duplicate font objects, reducing memory usage during large or parallel document conversions.

• Performance optimization: Allows multiple threads to reuse the same font instances safely, improving processing speed.

• Automatic cleanup: Disposes of unused fonts after a configurable delay (FontManager.Delay) to keep long-running applications working efficiently at all times.

• Manual cache reset: Provides FontManager.ClearFontCache() to immediately clear all cached fonts whenever you need (while stopping the servers).

.NET Excel Library

Chart-to-image conversion

The Syncfusion® Excel Library supports bar of pie charts in chart-to-image conversion. This enhancement ensures that these charts are accurately preserved during Excel-to-PDF and Excel-to-image conversions, maintaining visual fidelity and data clarity.

Formulas

The Syncfusion Excel Library supports the following Excel functions. These formulas will be properly read and written when creating or modifying Excel documents:

• DROP
• EXPAND
• HSTACK
• VSTACK
• RANDARRAY
• NORM_S_INV
• SEQUENCE
• TAKE
• WRAPCOLS
• WRAPROWS
• ISOMITTED
• MAKEARRAY
• REDUCE
• SCAN

Performance improvement

The Syncfusion Excel Library now performs Excel-to-PDF conversion faster. Processing speed has also been improved across all data types, making operations on large datasets more efficient.

.NET PDF Library

PDF page actions

Adding, modify, and remove page‑level actions that trigger when a page is opened or closed. These actions enable behaviors such as navigating within the document, opening web links, or running JavaScript to enhance interactivity and dynamic page responses.

.NET Word Library

Ink objects

You can now create, edit, and convert ink objects directly within .docx documents. This upgrade ensures that freehand drawings, annotations, and stylus-based inputs are accurately preserved during PDF and image conversions. With improved visual fidelity for ink content, this feature is especially valuable for educational, design, and collaborative documents that rely heavily on handwritten or sketch-based elements.

Localized date and time fields

Date and time fields in Word documents are now rendered in the correct regional format during PDF and image conversions. Formatting is automatically based on the language specified for each individual field, ensuring culturally accurate and audience appropriate presentation in multilingual documents.

Visual Studio Code Extension

Syncfusion Document SDK Extension - Visual Studio Code

Syncfusion’s Document SDK Extension for Visual Studio Code helps developers quickly build Blazor apps with powerful components for handling PDF, Excel, Word, and PowerPoint files—no Microsoft Office or Adobe software required. It offers ready-to-use project templates and handy Blazor code snippets, so beginners can start fast with pre-configured document processing features.

JavaScript PDF Library

Image redaction support

Image redaction capability has been introduced in the JavaScript PDF Library. This enhancement enables the removal of sensitive or confidential content from images embedded within PDF documents. Redacted regions are permanently cleared from the image data, supporting secure document processing and compliance-focused workflows.

Text box field actions support

Support for text box field actions has been added to the JavaScript PDF Library. This enhancement introduces event‑driven behavior for PDF text fields, enabling processing during user interaction. The supported actions include KeyPressed, Format, and Validate, allowing form fields to react to keystrokes, apply formatting rules, and enforce validation logic as part of interactive PDF workflows.