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 Receipt-OCR?
In today’s fast-paced digital landscape, businesses are increasingly pivoting toward intelligent automation solutions like a .NET OCR API to manage the overwhelming influx of financial documentation. Relying on manual entry for crucial documents such as bills, purchase orders, and invoices is not only time-consuming but also fraught with expensive errors. By implementing a specialized Receipt-OCR system, organizations can leverage advanced machine learning algorithms to instantly convert image to text, ensuring high precision even when processing complex layouts. This technology empowers developers to recognize text on receipt image files across multiple languages, facilitating seamless international operations. By integrating these powerful APIs, software teams can effortlessly automate the pipeline to extract data from receipts and invoices, resulting in significantly faster workflows, reduced human intervention, and superior data accuracy.
Going beyond standard transcription, modern receipt processing tools offer the granular ability to detect particular parts of an image, isolating specific metadata such as merchant names, transaction dates, line items, pricing, and tax amounts. This targeted approach allows retailers and finance departments to accurately detect data from receipts for critical tasks like expense tracking, inventory management, and rigorous compliance auditing. By utilizing a robust OCR C# API, companies can transform static physical records into fully searchable, easily retrievable digital assets. This modernization streamlines financial reporting, drastically cuts labor costs, and minimizes audit risks. Ultimately, adopting these intelligent solutions ensures smarter financial data management and secures long-term operational efficiency for growing enterprises.
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();
}
}
}