Invoice data extraction is one of the most time-consuming tasks in accounts payable. Whether you process 50 or 50,000 invoices per month, manually copying vendor names, line items, and totals into your accounting system costs time, money, and accuracy. Eagle Doc is an AI-powered document processing API that extracts structured data from invoices, receipts, and financial documents with 95%+ accuracy — GDPR-compliant and hosted in the EU. In this article, you'll learn how to automate invoice data extraction using AI-powered OCR and how to integrate it into your workflow with just a few lines of code.
Invoice data extraction is the process of automatically reading and capturing structured information from invoices — whether they arrive as PDFs, scanned images, or digital documents. Modern AI-based solutions go far beyond traditional OCR: they understand the layout and context of an invoice, identifying fields like vendor name, invoice number, date, line items, tax amounts, and totals without requiring pre-built templates.
Manual invoice processing creates bottlenecks across the entire accounts payable workflow:
With Eagle Doc's Invoice OCR API, extracting data from invoices is a three-step process:
# Eagle Doc Invoice API Integration Example
#
# Usage:
# 1. Ensure 'invoice.jpg' exists in the working directory.
# 2. Replace 'YOUR_SECRET_API_KEY' with your valid API key.
# 3. Run the script:
# ./example_invoice.sh
#
# One-liner example:
# curl -X POST "https://de.eagle-doc.com/api/invoice/v1/processing" -H "api-key: YOUR_SECRET_API_KEY" -F "file=@invoice.jpg"
curl --location --request POST 'https://de.eagle-doc.com/api/invoice/v1/processing' \
--header 'api-key: YOUR_SECRET_API_KEY' \
--form 'file=@"invoice.jpg"'
"""
Eagle Doc Invoice API Integration Example
Usage:
1. Ensure 'invoice.jpg' exists in the same directory.
2. Replace 'YOUR_SECRET_API_KEY' with your valid API key.
3. Install dependencies:
pip install requests
4. Run the script:
python example_invoice.py
"""
import requests
url = "https://de.eagle-doc.com/api/invoice/v1/processing"
payload = {}
files=[
('file',('invoice.jpg',open('invoice.jpg','rb'),'image/jpeg'))
]
headers = {
'api-key': 'YOUR_SECRET_API_KEY'
}
response = requests.request("POST", url, headers=headers, data=payload, files=files)
print(response.text)
import java.net.http.*;
import java.net.*;
import java.nio.file.*;
import java.io.*;
import java.nio.charset.StandardCharsets;
/**
* Eagle Doc Invoice API Integration Example
*
* Usage:
* 1. Ensure 'invoice.jpg' exists in the working directory.
* 2. Replace 'YOUR_SECRET_API_KEY' with your valid API key.
* 3. Compile and run:
* javac ExampleInvoice.java && java ExampleInvoice
*/
public class ExampleInvoice {
public static void main(String[] args) throws IOException, InterruptedException {
var apiKey = "YOUR_SECRET_API_KEY";
var boundary = "----EagleDocBoundary" + System.currentTimeMillis();
// Read the jpg file as bytes (binary)
byte[] fileBytes = Files.readAllBytes(Path.of("invoice.jpg"));
// Build multipart body with binary support
var outputStream = new ByteArrayOutputStream();
var writer = new PrintWriter(new OutputStreamWriter(outputStream, StandardCharsets.UTF_8), true);
// File part
writer.append("--").append(boundary).append("\r\n");
writer.append("Content-Disposition: form-data; name=\"file\"; filename=\"invoice.jpg\"\r\n");
writer.append("Content-Type: image/jpeg\r\n\r\n");
writer.flush();
outputStream.write(fileBytes);
outputStream.flush();
writer.append("\r\n");
// End boundary
writer.append("--").append(boundary).append("--\r\n");
writer.flush();
byte[] body = outputStream.toByteArray();
var client = HttpClient.newHttpClient();
var request = HttpRequest.newBuilder(URI.create("https://de.eagle-doc.com/api/invoice/v1/processing"))
.header("api-key", apiKey)
.header("Content-Type", "multipart/form-data; boundary=" + boundary)
.POST(HttpRequest.BodyPublishers.ofByteArray(body))
.build();
var response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
Eagle Doc's invoice extraction captures over 50 fields, including:
Switching from manual to automated extraction delivers measurable results:
Eagle Doc's Invoice OCR API accepts PDF, PNG, and JPEG files. You can upload scanned invoices, digital PDFs, or photos of invoices taken with a smartphone.
Eagle Doc achieves 95%+ extraction accuracy from day one — with no template setup or training required. Accuracy improves further through collaborative fine-tuning with high-volume customers.
Yes. Eagle Doc is fully GDPR compliant. All data is processed and hosted on EU-based servers. Documents are not stored after processing unless explicitly requested.
Yes. Eagle Doc offers a free plan with 20 pages per month — no credit card required. You can start extracting invoice data immediately after signing up.
Automated invoice data extraction is no longer a luxury — it's a competitive necessity. With Eagle Doc's Invoice OCR API, you can capture data from any invoice format in seconds, eliminate manual data entry, and integrate structured results directly into your business systems. Start with 20 free pages and see the results for yourself.
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