syncfusion-dotnet-smart-data-extraction

Q: How do I install syncfusion-dotnet-smart-data-extraction?

Run npx skills add https://github.com/syncfusion/document-sdk-skills --skill syncfusion-dotnet-smart-data-extraction in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/syncfusion-dotnet-smart-data-extraction/ (personal) or .claude/skills/syncfusion-dotnet-smart-data-extraction/ (project).

by syncfusionBackend & APIs

Extract tables, form fields, barcodes, and document layout from PDFs or images (scanned PDFs, PNG/JPG) using Syncfusion Smart Data Extractor. Trigger when users ask to parse/extract/convert document data (invoices, receipts, KYC/forms) into structured output and want C/.NET integration code using the extractor.

Installs: 97
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Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/syncfusion/document-sdk-skills --skill syncfusion-dotnet-smart-data-extraction

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads syncfusion-dotnet-smart-data-extraction automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

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`

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.

FAQ

What does the syncfusion-dotnet-smart-data-extraction skill do?

How do I install syncfusion-dotnet-smart-data-extraction?

Run npx skills add https://github.com/syncfusion/document-sdk-skills --skill syncfusion-dotnet-smart-data-extraction in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/syncfusion-dotnet-smart-data-extraction/ (personal) or .claude/skills/syncfusion-dotnet-smart-data-extraction/ (project).

Which AI agents can use syncfusion-dotnet-smart-data-extraction?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is syncfusion-dotnet-smart-data-extraction safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains syncfusion-dotnet-smart-data-extraction?

It is published by syncfusion in syncfusion/document-sdk-skills. It has 97 recorded installs.