TL;DR: Syncfusion’s upcoming 2026 Volume 1 will introduce the new Smart Data Extractor Library, a high-performance .NET solution for secure, on-premises document intelligence. It enables accurate extraction of document structures, tables, and forms from PDFs and images, with clean JSON output and fillable PDF generation, empowering developers with speed, reliability, and privacy-first workflows.
Discover what’s ahead in the 2026 Volume 1 release, powerful enhancements are on the way!
Syncfusion® is set to deliver major enhancements in document processing, headlined by our game-changing, high-performance suite: Smart Data Extractor.
Designed for speed, reliability, and on-premises document intelligence, this suite is purpose-built to help you power your .NET applications like never before.
Because this library runs entirely on your local machine, with no AI interactions, no Adobe dependencies, and no interop requirements, you get secure, private, and fully controlled data processing.
Whether you’re working with PDFs, scanned images, or structured forms, this release helps you extract document data more intelligently, with true-to-life accuracy and seamless integration into your applications.
Simply put, it delivers exactly what developers have been waiting for.
Smart Data Extractor Library: An overview
The Smart Data Extractor is a unified, high-performance .NET library that enables you to extract complete document structures, tables, and form fields from both PDFs and images.
It generates clean, high-confidence JSON output and can even create fillable PDFs from recognized forms, making it ideal for workflow automation and enterprise integrations.
Built as a focused C# library, it provides deterministic and consistent results, making it perfect for:
- On-prem environments
- Automation pipelines
- Enterprise document workflows
Smart Data Extractor: What it can do
Smart Data Extractor analyzes visual layout patterns such as lines, boxes, labels, whitespace, and alignment to intelligently detect and extract key document elements, including:
- Document structure
- Text elements
- Images
- Table definitions
- Form fields
- Per-element confidence scores
This means you can easily export, review, or integrate document data into downstream systems with confidence.
Key features
To help you quickly understand its capabilities, here are some of the core features available in the Smart Data Extractor:
To help you quickly understand its capabilities, here are some of the core features available in the Smart Data Extractor:
- Document structure extraction: Identify text, images, tables, headers, footers, and complex layout regions.
- Wide format support: Extract data from PDF, JPEG, PNG, and other common image formats.
- Table extraction: Detect table regions, headers, rows, columns, and merged cells.
- Form recognition: Automatically detect structured form fields.
- Page-level control: Extract data from specific pages or defined ranges.
- Confidence thresholds: Filter results using configurable confidence scores (0.0–1.0).
- Flexible output options: Export results as structured JSON or as a digitally reconstructed PDF, depending on your workflow needs.
To extract document structure as JSON in .NET using the Syncfusion Smart Data Extractor, you can follow this simple workflow:
using (FileStream stream = new FileStream(filename, FileMode.Open, FileAccess.Read))
{
// Create an instance of the DataExtractor class
DataExtractor smartDataExtractor = new DataExtractor();
// extract data as JSON
string jsonData = smartDataExtractor.ExtractDataAsJson(stream);
}Smart Table Extractor: Built for complex tables
With the Smart Table Extractor, you can extract tabular data from both PDFs and scanned images.
It handles everything from well-defined bordered tables to faint or borderless grids, ensuring reliable extraction even from complex layouts.
The extractor outputs clean JSON, including:
- Row and column definitions
- Merged-cell detection
- Per-cell confidence scores
Key features
Here are some of the capabilities that make the Smart Table Extractor powerful and reliable:
- Table structure detection: Identify table regions, headers, rows, columns, and cell spans.
- Multiple format support: Works with PDF, JPEG, PNG, and other formats.
- Border & borderless handling: Extract tables reliably regardless of visual complexity.
- Page-level control: Target specific pages or page ranges.
- Confidence thresholding: Filter cells based on configurable confidence scores.
Here’s a simple example showing how you can extract table data as JSON in .NET using the Smart Table Extractor:
using (FileStream stream = new FileStream(filename, FileMode.Open, FileAccess.Read))
{
// Create an instance of the TableExtractor class
TableExtractor tableExtractor = new TableExtractor();
// extract table as json
string jsonData = tableExtractor.ExtractTableAsJson(stream);
}Smart Form Recognizer: Create fillable PDFs automatically
The Smart Form Recognizer enables you to detect form fields in PDFs and scanned images using deterministic, layout-based detection.
By analyzing visual cues such as lines, boxes, and circles, it accurately identifies fields such as:
- Text boxes
- Checkboxes
- Radio buttons
- Signature fields
- Other structured inputs
It can also automatically generate fully functional fillable PDF forms, making it easy to digitize paper forms or scanned documents.
Key features
Here are some of the key capabilities of the Smart Form Recognizer:
- Form layout detection: Uses graphical heuristics to consistently detect fields.
- Fillable PDF export: Generates a PDF with automatically created form fields.
- Page-level processing: Analyze specific pages or ranges.
- Broad format support: Works with PDF, PNG, JPEG, and more.
- Confidence filtering: Fine-tune detection accuracy using confidence scores.
- Flexible output: Export results as JSON or generate reconstructed fillable PDFs.
To generate fillable PDF forms in .NET using the Smart Form Recognizer, you can use the following example:
// Open the input PDF file
using (FileStream inputStream = new FileStream(filename, FileMode.Open, FileAccess.Read))
{
// Create an instance of the Smart Form Recognizer
FormRecognizer recognizer = new FormRecognizer();
// Recognize the form and produce a PDF document with detected fields
PdfLoadedDocument pdfLoadedDocument = recognizer.RecognizeFormAsPdfDocument(inputStream);
// Save the resulting PDF to disk
pdfLoadedDocument.Save("D:\\Output.pdf");
}Frequently Asked Questions
Does the Smart Data Extractor or Smart Form Recognizer use AI or external services?
No. Both work fully offline on your machine with no AI models, cloud calls, Adobe dependencies, or interop components. This ensures complete data privacy and deterministic results.
Can the library convert scanned PDFs or images into fillable PDF forms?
Yes. The Smart Form Recognizer can detect form fields, such as text boxes, checkboxes, radio buttons, and signature boxes, and automatically generate a fillable PDF.
What output formats are supported?
The Smart Data Extractor supports structured JSON output that includes document text, tables, images, and form fields. It also handles digitally converted PDFs, reconstructing them for clean presentation or use in downstream workflows.
The future of document intelligence arrives in March 2026
Thank you for exploring this sneak peek of what’s coming in Syncfusion Essential Studio 2026 Volume 1 with the Smart Data Extractor Library.
This highly anticipated release, scheduled for mid-March 2026, introduces powerful capabilities for:
- Document intelligence
- Structured data extraction
- Automated form processing
Our goal is to help you build smarter document workflows with reliable, developer-friendly tools.
For the latest updates on the release, stay connected with us through YouTube, Twitter, Facebook, and LinkedIn channels.
If you’re a Syncfusion user, you can download the setup from the license and downloads page. Otherwise, you can download a free 30-day trial.
If you have questions or suggestions, feel free to reach out through our support forum, support portal, or feedback portal. We are always happy to help.