Free C# .NET API to Recognize Data on Receipts
Open Source C# Optical Character Recognition (OCR) API that Instantly Detects, Extracts and Recognizes all Text and Data on Receipts hrough OCR.
What is Free-OCR-API-CSharp?
In today’s digital era, businesses increasingly rely on intelligent solutions like a .NET OCR API Receipt-OCR to handle large volumes of financial data. From receipts and invoices to bills and purchase orders, manual data entry is time-consuming and error-prone. An advanced receipt processing OCR API automates this process by using machine learning algorithms to convert image to text, making it easy to recognize text on receipt image in multiple languages. Software developers can seamlessly integrate these APIs into their applications to extract data from receipts, invoices, and other financial documents, ensuring faster workflows, reduced human error, and improved accuracy across international operations
With the ability to detect particular parts of an image, Receipt-OCR goes beyond simple text recognition to capture specific fields like merchant name, transaction date, line items, prices, and taxes. Retailers and finance teams can leverage these APIs to detect data from receipts for expense tracking, inventory management, and compliance auditing. By making financial records searchable and easily retrievable, businesses can streamline reporting, cut labor costs, and avoid costly mistakes. As technology evolves, integrating a reliable OCR C# API into your software ensures smarter financial data management, simplified workflows, and long-term operational efficiency.
Getting Started with Receipt-OCR
The recommend way to install Receipt-OCR is using NuGet. Please use the following command for a smooth installation.
Install Receipt-OCR via NuGet
Install-Package Receipt-OCR
Install Receipt-OCR via GitHub
git clone https://github.com/Asprise/receipt-ocr.git
Recognize & Extract Text from Receipts via C#
The open source Receipt-OCR Library makes it easy for software developers to load and extract text from Receipts inside C# applications. First users need to load an image by providing complete path to the image and after that perform the OCR operation on the image. After the completion of the OCR operation, software developers can Print the extracted text or use it as needed. The following example shows how software developers can load and Extract text from a Receipt using C# commands.
How to Perform OCR Operation on to Extract Text from a Receipt Image using C#?
using System;
using Asprise.OCR;
class Program
{
static void Main(string[] args)
{
// Replace 'path_to_receipt_image.jpg' with the actual path to your receipt image file.
string imagePath = "path_to_receipt_image.jpg";
// Create an OCR engine instance from the Receipt-OCR library.
OCR ocr = new OCR();
try
{
// Load the receipt image.
ocr.Image = imagePath;
// Perform OCR text extraction.
string extractedText = ocr.Recognize();
// Print the extracted text or use it as needed.
Console.WriteLine("Extracted Text from Receipt:");
Console.WriteLine(extractedText);
}
catch (Exception ex)
{
Console.WriteLine("Error: " + ex.Message);
}
finally
{
// Clean up the OCR engine.
ocr.Dispose();
}
}
}
OCR Text from Two Receipts on One Image via .NET API
The open source Receipt-OCR Library allows software developers to perform OCR operation on two receipts in one image using C# .NET API. To recognize and extract text from two receipts on one image using a receipt OCR library in C#, Software developers can follow these general steps. Assuming you have an image containing two receipts side by side. First you need to load the multi-receipt image and perform OCR operation on it. After that you can split the extracted text into separate receipts based on a delimiter or pattern and Print or further process each extracted receipt. The following example demonstrates how software developers can perform Text Extraction from a Multi-Receipt Image inside C# applications.
C# Code for Text Extraction from a Multi-Receipt Image using C# API
using System;
using Asprise.OCR;
class Program
{
static void Main(string[] args)
{
// Replace 'path_to_multi_receipt_image.jpg' with the actual path to your image containing two receipts.
string imagePath = "path_to_multi_receipt_image.jpg";
// Create an OCR engine instance from the Receipt-OCR library.
OCR ocr = new OCR();
try
{
// Load the multi-receipt image.
ocr.Image = imagePath;
// Perform OCR text extraction.
string extractedText = ocr.Recognize();
// Split the extracted text into separate receipts based on a delimiter or pattern.
string[] receipts = extractedText.Split(new string[] { "=== RECEIPT ===" }, StringSplitOptions.RemoveEmptyEntries);
// Print or process each extracted receipt.
for (int i = 0; i < receipts.Length; i++)
{
Console.WriteLine($"Extracted Text from Receipt {i + 1}:");
Console.WriteLine(receipts[i]);
}
}
catch (Exception ex)
{
Console.WriteLine("Error: " + ex.Message);
}
finally
{
// Clean up the OCR engine.
ocr.Dispose();
}
}
}