AI Based Data Extraction SDK for .NET Applications
Turn Unstructured Content into Structured Insights with LM-Kit’s Edge AI Extraction Engine
Transform Unstructured Content into Actionable Insights
LM-Kit’s Intelligent Data Extraction leverages advanced AI inference at the edge, transforming unstructured text and images into structured, ready-to-use data directly on-device. Quickly extract precise information from diverse data sources such as invoices, contracts, medical records, emails, and logs, enabling your applications to utilize structured data seamlessly and efficiently.
Why Intelligent Data Extraction?
Organizations frequently handle large volumes of unstructured content containing critical insights hidden within text or images. Manual extraction is tedious, costly, and prone to errors. LM-Kit’s Intelligent Data Extraction automates this process, significantly improving accuracy, speed, and reliability, allowing businesses to make informed decisions rapidly.
Key Features
AI-Powered Edge Inference
LM-Kit employs advanced Generative AI and proprietary Dynamic Sampling technology, significantly enhancing LLM capabilities to produce faster, highly accurate results directly on-device.
Highly Customizable Extraction Pipelines
Rapidly build customized extraction schemas tailored to specific business needs. Handle complex objects, nested arrays, and diverse data types including strings, integers, dates, floats, and booleans effortlessly.
Multimodal Data Extraction
Efficiently process and extract structured information from any content source, including scanned documents, smartphone photos, handwritten notes, symbols, and photographic images, significantly broadening potential applications.
Structured and Accessible Output
Receive structured data output directly in JSON format or via intuitive high-level API, simplifying integration into existing applications and workflows.
Secure On-Device Processing
Ensure enhanced privacy, compliance, and security by conducting all data extraction directly on-device.
Industry-Specific Use Cases
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Business Automation Efficient invoice and contract management, streamlined vendor communications. |
Healthcare Rapid extraction of patient records, medical histories, lab results, and prescriptions. |
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Human Resources Automated parsing of job offers, resumes, and employment documentation. |
Financial Services Precise extraction of financial metrics from statements, reports, and regulatory filings. |
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Legal Accurate identification of critical clauses, terms, and obligations from legal documents. |
Retail and E-commerce Extract product details, pricing, and reviews from catalogs, labels, and listings. |
Explore Usage Examples
Structured AI Data Extraction From Text Demo
The Structured Data Extraction Demo is a .NET console app that illustrates how LM-Kit.NET can turn unstructured documents, such as invoices, job offers, medical records, contracts, and reports, into clean, structured JSON (or objects exposed via a high-level API). Using LM-Kit’s Dynamic Sampling for fast, accurate results even with smaller models, the sample lets developers pick from several pre-trained or custom LLMs, define extraction templates (including nested arrays and complex objects), and quickly automate data-capture tasks across business, healthcare, legal, finance, and HR workflows.
Structured AI Data Extraction From Image (Code snippet)
using LMKit.Extraction;
using LMKit.Model;
using System;
using System.Collections.Generic;
// Initialize the vision language model
var clm = LM.LoadFromModelID("minicpm-o");
// Create an instance of TextExtraction using the LLM
var textExtraction = new TextExtraction(vlm);
// Define the elements to extract
textExtraction.Elements = new List<TextExtractionElement>
{
new TextExtractionElement("Name", ElementType.String, "The person's full name"),
new TextExtractionElement("Age", ElementType.Integer, "The person's age"),
new TextExtractionElement("Birth Date", ElementType.Date, "The person's date of birth.")
};
// Set the content to extract data from
textExtraction.SetContent(new Attachment("d:\\id-card.jpeg"));
// Perform the extraction synchronously
TextExtractionResult result = textExtraction.Parse();
// Access the extracted items
foreach (var item in result.Elements)
{
Console.WriteLine($"{item.TextExtractionElement.Name}: {item.Value}");
}
Structured AI Data Extraction From Text (Code snippet)
using LMKit.Extraction;
using LMKit.Model;
using System;
using System.Collections.Generic;
// Initialize the language model
var model = LM.LoadFromModelID("gemma3:4b");
// Create an instance of TextExtraction using the LLM
TextExtraction textExtraction = new TextExtraction(model);
// Define the elements to extract
textExtraction.Elements = new List<TextExtractionElement>
{
new TextExtractionElement("Name", ElementType.String, "The person's full name"),
new TextExtractionElement("Age", ElementType.Integer, "The person's age"),
new TextExtractionElement("Birth Date", ElementType.Date, "The person's date of birth.")
};
// Set the content to extract data from
textExtraction.SetContent("Jane Smith, aged 28, born on 5 Nov of the year 1981");
// Perform the extraction synchronously
TextExtractionResult result = textExtraction.Parse();
// Access the extracted items
foreach (var item in result.Elements)
{
Console.WriteLine($"{item.TextExtractionElement.Name}: {item.Value}");
}
Business Advantages
Enhanced Operational Efficiency
Automate repetitive extraction tasks, enabling teams to focus on strategic initiatives.
Superior Data Quality
Reduce errors and ensure data consistency, leading to more reliable analytics and decisions.
Effortless Integration
Quickly incorporate Intelligent Data Extraction into existing .NET applications with minimal development time.
Cost Reduction
Substantially lower operational costs related to manual data entry and validation.
Built on Expertise
LM-Kit’s Intelligent Data Extraction technology was designed by engineers with over 20 years of expertise in data extraction. It is continuously improved through rigorous benchmarking on large datasets, ensuring the highest levels of accuracy, reliability, and performance for handling large data volumes.
Ready to build your Intelligent Data Extraction Solution?
Integrate Intelligent Data Extraction into your solutions today with LM-Kit.NET. Explore detailed API documentation or experiment with our Structured Data Extraction demo application.