syncfusion-dotnet-smart-data-extraction

Smart Data Extractor — Syncfusion

Overview

Extracts complete document structures from PDFs and images files using the Syncfusion SmartDataExtractor Library. This skill supports one operational mode — generating C# code for the user's project.

Key Capabilities

• Document structure extraction: Identify text elements, images, headers, footers, tables, and barcodes (including regions, header rows, columns, cell boundaries, 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.
• Barcode detection: Identifies and decodes barcodes with confidence scoring.
• 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).

Prerequisites

• Install required runtime and library packages from NuGet before running extraction.

Quick Start Examples

Example : Generate Code

User: "Write Program.cs code to extract the data from pdf and save as JSON using SmartDataExtractor." Result: C# code snippet displayed (no files created)

One Mode

Mode 1: Generate C# Code and Update Project Files (default)

Use this mode when the user wants to view, write, review, refactor, or modify C# code related to Smart Data Extractor processing. Trigger keywords: "show me how", "how to", "how can I", "how do I", "provide code", "provide an example", "give an example", "demonstrate", "code snippet", "sample code", "example", "sample", "give me", "show me", "Program.cs", "example code", "generate code for", "codesnippet" .

Workflow:

Step 1 — Detect Application Type and Identify Required NuGet Packages

• Inspect the workspace project files (.csproj, web.config, App.config, Startup.cs, Program.cs, etc.) and use the detection signals table in references/nuget-packages.md to determine the application type.
• Based on the detected application type, identify the correct NuGet package(s) from references/nuget-packages.md. ONLY use package IDs and versions listed in references/nuget-packages.md — do not suggest, look up, or infer package names from external sources or common naming conventions.
• Note: If the user's request is explicitly table-only (asks only to extract table data), recommend only the Table Extractor package listed in references/nuget-packages.md and review the ExtractTable section for the detected application type. Do not recommend or add the broader SmartDataExtractor package unless the user requests non-table extraction or JSON conversion features.

Step 2 — Add Required NuGet Packages to .csproj

• Update the project .csproj file by adding the identified NuGet packages to the <ItemGroup> section using <PackageReference> tags
• Use exact package names and versions from references/nuget-packages.md

Step 3 — Generate Code from Reference Files Only

Do NOT invent, guess, or suggest any API, method, property, class, or namespace not explicitly present in the reference files.

• Read the relevant references/*.md file(s) for the requested feature
• Build C# code strictly from the APIs and snippets found in those files
• Select the correct snippet variant based on the app type detected in Step 1:
  • Windows-specific apps (WinForms, WPF, .NET Framework Console) → use Windows-specific snippets
  • Cross-platform apps (ASP.NET Core, .NET Core/.NET 5+ Console, Blazor, MAUI) → use cross-platform / .Net.Core snippets

Step 4 — Update Program.cs with Generated Code

• Replace the entire contents of Program.cs with the generated C# code
• Ensure all necessary using statements are included
• Do not create or run any .csx script

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Code References

All templates and snippets are in the references/ folder:

File	Contents
document-structure.md	Quick extractor setup and usage snippets
extract-data.md	Examples: ExtractDataAsJson, ExtractDataAsMarkdown, ExtractDataAsPdfStream, ExtractDataAsPdfDocument, ExtractDataAsMarkdownDocument, ExtractDataAsWordDocument, ExtractDataAsHtml, async variants
extract-table.md	Table extraction examples (ExtractTableAsJson, ExtractTableAsMarkdown)
recognize-forms.md	recognize form fields examples : FormRecognizeOptions, RecognizeFormAsPdfDocument,RecognizeFormAsPdfStream, RecognizeFormAsJson async variants
data-options.md	Explanation of TableExtractionOptions, FormRecognizeOptions, ConfidenceThreshold , PageRange , ExtractDataAsPdfDocument

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Rules

• Output files go in ./output/ directory
• Don't use any API which is not in reference
• Only use NuGet package IDs and versions defined in references/nuget-packages.md when recommending or adding packages.
• For table-only extraction requests, recommend/install only the table extractor package from references/nuget-packages.md for the detected application type.