What is DataExtractorAI?

DataExtractorAI is an advanced data extraction platform that uses artificial intelligence to automatically extract structured data from unstructured documents. Our technology understands document context and can identify and extract relevant information with high accuracy, saving you hours of manual data entry.

Whether you’re processing invoices, analyzing contracts, scraping web data, or extracting information from custom document types, DataExtractorAI provides a simple, unified API to transform your documents into clean, structured data.

Key Features

AI-Powered Extraction

Extract data with high accuracy using our advanced machine learning models trained on millions of documents.

Custom Schema Definition

Define exactly what data you need and how it should be structured using our flexible schema system.

Multi-Format Support

Process PDFs, images, HTML, Word documents, and more with a single unified API.

Developer-Friendly SDKs

Integrate quickly with our libraries for JavaScript, Python, Ruby, Go, and Java.

Getting Started

To get started with DataExtractorAI, you need to sign up for an account and obtain an API key. You can sign up for a free account at DataExtractorAI.

Once you have your API key,you can start extracting data from your documents using our simple API or SDK to learn how to make your first extraction request.

1. Authentication

Initialize the client with your API key:

Authentication Example
// Initialize with your API key
const dataExtractor = new DataExtractorAI({
  apiKey: 'YOUR_API_KEY'
});

2. Basic Extraction

Here’s a simple example of extracting data from a PDF invoice:

Basic Extraction Example
// Extract data from a PDF file
const result = await dataExtractor.extract({
  file: fs.createReadStream('invoice.pdf'),
  schema: {
    invoice_number: { type: 'string' },
    date: { type: 'date' },
    total: { type: 'number' },
    vendor: { type: 'string' }
  }
});

console.log(result.extracted_data);
// {
//   invoice_number: "INV-12345",
//   date: "2025-03-15",
//   total: 1250.00,
//   vendor: "ACME Corp"
// }