Invoice OCR API (Developer Tutorial)
Invoice OCR API utilizes machine learning and computer vision to transform invoice data into a format suitable for automated processing. This technology addresses manual data entry issues like delays, costs, and errors, accurately extracting details like vendor information, invoice numbers, and prices from both digital and scanned invoices.
This article will use a top-of-the-line invoice OCR API named IronOCR.
How to Create Invoice OCR API
- Download and Install the Invoice OCR API
- Create a New C# project in Visual Studio or open an existing one.
- Load an existing image file using
OcrInput
method - Extract the Text from Image using
Ocr.Read
method. - Print the extracted text in Console using
Console.WriteLine
1. IronOCR
IronOCR, developed by Iron Software, is an OCR library offering a range of tools for developers. It uses machine learning and computer vision to extract text from scanned documents, images, and PDFs, enabling automated processing. Its APIs integrate into various languages and platforms, reducing manual data entry errors and improving efficiency. Extracted data can be analyzed and integrated into existing systems, aiding decision-making and productivity. Features like image preprocessing, barcode recognition, and file parsing increase its versatility. IronOCR empowers developers to incorporate text recognition into their applications.
2. Prerequisites
Before you can start working with IronOCR, there are a few prerequisites that need to be in place. These prerequisites include:
- Ensure that you have a suitable development environment set up on your computer. This typically involves having an Integrated Development Environment (IDE) such as Visual Studio installed.
- It's important to have a basic understanding of the C# programming language. This will enable you to comprehend and modify the code examples provided in the article effectively.
- You'll need to have the IronOCR library installed in your project. This can be accomplished by using the NuGet Package Manager within Visual Studio or through the command line interface.
By ensuring that these prerequisites are met, you'll be ready to dive into the process of working with IronOCR.
3. Creating a New Visual Studio Project
To get started with IronOCR, the first step is to create a new Visual Studio project.
Open Visual Studio and go to Files, then hover on New, and click on Project.
New Project
In the new window, select Console Application and click on Next.
Console Application
A new window will appear, write the name of your new project, and location and click on Next.
Project Configuration
Finally, provide the Target framework and click on Create.
Target Framework
Now your new Visual Studio project is created. Let's install IronOCR.
4. Installing IronOCR
There are several methods for downloading and installing the IronOCR library. But here are the two simplest approaches.
- Using the Visual Studio NuGet Package Manager
- Using the Visual Studio Command Line
4.1. Using the Visual Studio NuGet Package Manager
IronOCR may be included in a C# project by utilizing the Visual Studio NuGet Package Manager.
Navigate to the NuGet Package Manager graphical user interface by selecting Tools > NuGet Package Manager > Manage NuGet Packages for Solution
NuGet Package Manager
After this, a new window will appear. Search for IronOCR and install the package in the project.
Select the IronOCR package in NuGet Package Manager UI
Additional language packs for IronOCR can also be installed using the same method described above.
4.2. Using the Visual Studio Command-Line
- In Visual Studio, go to Tools > NuGet Package Manager > Package Manager Console
Enter the following line in the Package Manager Console tab to install IronOCR:
Install-Package IronOcr
Install-Package IronOcr
SHELL
Package Manager Console
The package will now download/install in the current project and be ready to use.
5. Extract data from Invoices using IronOCR
Using IronOCR, you can easily extract data from invoices with just a few lines of code and use that data extraction for further processes like data entry. This will replace manual data entry and many more.
Here is an example invoice to extract text from.
The sample invoice
Now, let's write the code to extract all the data from this invoice.
using IronOcr;
using System;
// Initialize a new instance of the IronTesseract class
var ocr = new IronTesseract();
// Use the OcrInput object to load the image file
using (var input = new OcrInput(@"r2.png"))
{
// Read the image using the Read method, which performs OCR
var result = ocr.Read(input);
// Output the extracted text to the console
Console.WriteLine(result.Text);
}
using IronOcr;
using System;
// Initialize a new instance of the IronTesseract class
var ocr = new IronTesseract();
// Use the OcrInput object to load the image file
using (var input = new OcrInput(@"r2.png"))
{
// Read the image using the Read method, which performs OCR
var result = ocr.Read(input);
// Output the extracted text to the console
Console.WriteLine(result.Text);
}
Imports IronOcr
Imports System
' Initialize a new instance of the IronTesseract class
Private ocr = New IronTesseract()
' Use the OcrInput object to load the image file
Using input = New OcrInput("r2.png")
' Read the image using the Read method, which performs OCR
Dim result = ocr.Read(input)
' Output the extracted text to the console
Console.WriteLine(result.Text)
End Using
The above code gets input in the form of an image and then extracts data from that image using a Read
method from the IronTesseract
class.
Invoice Parser
5.1. Invoice Processing to extract specific data from invoices
You can also extract specific data from invoices like customer invoice numbers. Below is the code to extract the customer invoice number from the invoice.
using IronOcr;
using System;
using System.Text.RegularExpressions;
// Initialize a new instance of the IronTesseract class
var ocr = new IronTesseract();
// Use the OcrInput object to load the image file
using (var input = new OcrInput(@"r2.png"))
{
// Perform OCR on the image
var result = ocr.Read(input);
// Define a regular expression pattern for the invoice number
var linePattern = @"INV\/\d{4}\/\d{5}";
// Match the pattern in the extracted text
var lineMatch = Regex.Match(result.Text, linePattern);
// Check if the pattern matches any part of the text
if (lineMatch.Success)
{
// If a match is found, print the invoice number
var lineValue = lineMatch.Value;
Console.WriteLine("Customer Invoice number: " + lineValue);
}
}
using IronOcr;
using System;
using System.Text.RegularExpressions;
// Initialize a new instance of the IronTesseract class
var ocr = new IronTesseract();
// Use the OcrInput object to load the image file
using (var input = new OcrInput(@"r2.png"))
{
// Perform OCR on the image
var result = ocr.Read(input);
// Define a regular expression pattern for the invoice number
var linePattern = @"INV\/\d{4}\/\d{5}";
// Match the pattern in the extracted text
var lineMatch = Regex.Match(result.Text, linePattern);
// Check if the pattern matches any part of the text
if (lineMatch.Success)
{
// If a match is found, print the invoice number
var lineValue = lineMatch.Value;
Console.WriteLine("Customer Invoice number: " + lineValue);
}
}
Imports IronOcr
Imports System
Imports System.Text.RegularExpressions
' Initialize a new instance of the IronTesseract class
Private ocr = New IronTesseract()
' Use the OcrInput object to load the image file
Using input = New OcrInput("r2.png")
' Perform OCR on the image
Dim result = ocr.Read(input)
' Define a regular expression pattern for the invoice number
Dim linePattern = "INV\/\d{4}\/\d{5}"
' Match the pattern in the extracted text
Dim lineMatch = Regex.Match(result.Text, linePattern)
' Check if the pattern matches any part of the text
If lineMatch.Success Then
' If a match is found, print the invoice number
Dim lineValue = lineMatch.Value
Console.WriteLine("Customer Invoice number: " & lineValue)
End If
End Using
Invoice Scanning
6. Conclusion
IronOCR's Invoice OCR API revolutionizes data extraction from invoices using machine learning and computer vision. This technology converts invoice text and numbers into a machine-readable format, simplifying data extraction for analysis, integration, and process improvement. It offers a robust solution for automating invoice processing, improving accuracy, and optimizing workflows like accounts payable. Automated data entry from scanned invoices is also made possible with this technology.
IronOCR offers high accuracy using the best results from Tesseract, without any additional settings. It supports multipage frame TIFF, PDF files, and all popular image formats. It is also possible to read barcode values from images.
Please visit the homepage website for more information on IronOCR. For more tutorials on invoice OCR, visit the following this details invoice OCR tutorial. To know about how to use computer vision to find text such as invoice fields, visit this computer vision how-to.
Frequently Asked Questions
What is an OCR library for developers?
IronOCR, developed by Iron Software, is an OCR library offering a range of tools for developers. It uses machine learning and computer vision to extract text from scanned documents, images, and PDFs, enabling automated processing.
What are the prerequisites for using an OCR library in a project?
Before you can start working with IronOCR, you need a suitable development environment like Visual Studio, a basic understanding of C#, and the IronOCR library installed in your project.
How do I create a new Visual Studio project for using OCR technology?
To create a new Visual Studio project, open Visual Studio, go to Files, select New, and then click on Project. Choose Console Application, provide the project name, location, and target framework, and click on Create.
How can I install an OCR library using Visual Studio?
IronOCR can be installed through the Visual Studio NuGet Package Manager or the Command Line. Navigate to Tools > NuGet Package Manager > Manage NuGet Packages for Solution to install IronOCR using the graphical user interface or use the command 'Install-Package IronOcr' in the Package Manager Console.
What is the purpose of an Invoice OCR API?
The Invoice OCR API, using IronOCR, is used to transform invoice data into a format suitable for automated processing, addressing issues like manual data entry delays, costs, and errors by accurately extracting details from invoices.
How does an OCR API improve invoice processing?
IronOCR leverages machine learning and computer vision to convert invoice text and numbers into a machine-readable format, simplifying data extraction for analysis, integration, and process improvement.
Can an OCR library extract specific data from invoices?
Yes, IronOCR can extract specific data such as customer invoice numbers using regular expressions to match patterns in the extracted text.
What are some key features of an OCR library?
IronOCR offers features like image preprocessing, barcode recognition, and file parsing, making it versatile for various applications in text recognition.
How accurate is an OCR solution?
IronOCR offers high accuracy using the best results from Tesseract without additional settings. It supports multiple page formats, PDF files, and popular image formats.
Where can I find more information and tutorials on using OCR technology?
For more information, visit the IronOCR homepage. Additional tutorials on invoice OCR and computer vision applications can be found on the IronOCR blog and how-to sections.