VintaSoft Barcode .NET SDK 16.1: Documentation for Web developer
In This Topic
Recognize barcodes in image in "Angular and ASP.NET Core" application
In This Topic
This tutorial shows how to create a blank "Angular and ASP.NET Core" application in Visual Studio .NET 2026 and recognize barcodes in image in "Angular and ASP.NET Core" application.

Here are steps, which must be done:
  1. Create a blank "Angular and ASP.NET Core" application.

    Open Visual Studio .NET 2026 and create a new project, of "Angular and ASP.NET Core" application type:

    Configure the project to use .NET 10.0:

  2. "AngularApp1.Server" project: Add references to the Vintasoft assemblies.

    Add references to the nuget-packages Vintasoft.Barcode, Vintasoft.Barcode.SkiaSharp and Vintasoft.Barcode.AspNetCore.ApiControllers to the "AngularApp1.Server" project.

    If you want to use AI for detection of barcode regions, add reference to the nuget-packages Vintasoft.Barcode.AI.1D, Vintasoft.Barcode.AI.2D, Microsoft.ML.OnnxRuntime v1.23.0, Microsoft.ML.OnnxRuntime.Managed v1.23.0 to the ASP.NET Core project.

  3. "AngularApp1.Server" project: Create web service for barcode recognition.

    • Press the right mouse button on the "Controllers" folder and select the "Add => Controller..." menu from context menu
    • Select Empty API controller template, set the controller name to the "MyVintasoftBarcodeApiController" and press the "Add" button
    • Specify that MyVintasoftBarcodeApiController class is derived from Vintasoft.Barcode.AspNetCore.ApiControllers.VintasoftBarcodeApiController class

      Here are source codes of MyVintasoftBarcodeApiController class:
      using Vintasoft.Barcode.AspNetCore.ApiControllers;
      
      namespace WebApplication1.Controllers
      {
          public class MyVintasoftBarcodeApiController : VintasoftBarcodeApiController
          {
      
              public MyVintasoftBarcodeApiController(IWebHostEnvironment hostingEnvironment)
                  : base(hostingEnvironment)
              {
              }
      
          }
      }
      
      
  4. "AngularApp1.Server" project: Add reference to the nuget-package "Microsoft.AspNetCore.Mvc.NewtonsoftJson" for deserialization of barcode recognition results.

    • Add reference to the nuget-package Microsoft.AspNetCore.Mvc.NewtonsoftJson to the "AngularApp1.Server" project:


    • Open the "Program.cs" file and add code line "builder.Services.AddControllersWithViews().AddNewtonsoftJson();". This is necessary for correct deserialization of barcode recognition results.

      Here are source codes of Program.cs:
      var builder = WebApplication.CreateBuilder(args);
      
      // Add services to the container.
      
      builder.Services.AddControllersWithViews().AddNewtonsoftJson();
      
      var app = builder.Build();
      
      app.UseDefaultFiles();
      app.MapStaticAssets();
      
      // Configure the HTTP request pipeline.
      
      app.UseHttpsRedirection();
      
      app.UseAuthorization();
      
      app.MapControllers();
      
      app.MapFallbackToFile("/index.html");
      
      app.Run();
      
      
  5. "AngularApp1.Server" project: Specify image file that contains barcodes.

    Create folder "wwwroot\UploadedImageFiles\SessionID" in "AngularApp1.Server" project and copy PNG-image file with barcodes from Github to the created folder. We will recognize barcodes in this image.
  6. "AngularApp1.Server" project: Delete files, which are not necessary.

    Delete files "WeatherForecast.cs" and "Controllers\WeatherForecastController.cs" in "AngularApp1.Server" project - the WeatherForecast Web API controller is not necessary in this demo.
  7. "angularapp1.client" project: Compile the solution for restoring TypeScript-dependencies in "angularapp1.client" project.

  8. "angularapp1.client" project: Add JavaScript files and TypeScript modules to the "angularapp1.client" project.

  9. "angularapp1.client" project: Create Angular component that recognizes barcodes in image.

    • Open "src\app\app.component.html" file in "angularapp1.client" project, clear the file, add HTML markup (page header and image element that will display barcode recognition result) to the "app.component.html" file:
      <h1>Angular Barcode Reader Demo</h1>
      
      <div id="barcodeInformation"></div>
      
      



    • Open "src\app\app.component.ts" file in "angularapp1.client" project, clear the file, add TypeScript code to the "app.component.ts" file:
      import { HttpClient } from '@angular/common/http';
      import { Component, OnInit } from '@angular/core';
      
      @Component({
        selector: 'app-root',
        templateUrl: './app.component.html',
        styleUrls: ['./app.component.css']
      })
      export class AppComponent implements OnInit {
        constructor(private http: HttpClient) {}
      
        ngOnInit() {
          // set the session identifier
          Vintasoft.Shared.WebImagingEnviromentJS.set_SessionId("SessionID");
      
          // create service that allows to recognize barcodes
          let barcodeService: Vintasoft.Shared.WebServiceControllerJS = new Vintasoft.Shared.WebServiceControllerJS("vintasoft/api/MyVintasoftBarcodeApi");
      
          // create the barcode reader
          let barcodeReader: Vintasoft.Barcode.WebBarcodeReaderJS = new Vintasoft.Barcode.WebBarcodeReaderJS(barcodeService);
          // specify that Code39 barcode must be searched
          barcodeReader.get_Settings().set_BarcodeType(new Vintasoft.Barcode.WebBarcodeTypeEnumJS("Code39"));
      
          // create web image that references to a file "AllSupportedBarcodes.png" in directory "/UploadedImageFiles/SessionID/"
          let imageSource: Vintasoft.Shared.WebImageSourceJS = new Vintasoft.Shared.WebImageSourceJS("AllSupportedBarcodes.png");
          let image: Vintasoft.Shared.WebImageJS = new Vintasoft.Shared.WebImageJS(imageSource, 0);
      
          // send an asynchronous request for barcode recognition
          barcodeReader.readBarcodes(image, this.__readBarcodes_success, this.__readBarcodes_fail);
        }
      
        /**
         * Barcodes are recognized successfully.
         * @param {object} data Object with information about recognized barcodes.
         */
        private __readBarcodes_success(data: any) {
          if (data.success) {
            // get the barcode recognition result
            let barcodeRecognitionResults: any[] = data.results;
      
            let htmlMarkup: string = '';
            // if no barcodes found
            if (barcodeRecognitionResults.length == 0) {
              htmlMarkup = 'No barcodes found.';
            }
            // if barcodes are found
            else {
              htmlMarkup = barcodeRecognitionResults.length.toString() + ' barcodes are found.<br />';
              htmlMarkup += '<br />';
      
              // for each recognized barcode
              for (let i: number = 0; i < barcodeRecognitionResults.length; i++) {
                // get the barcode recognition result
                let barcodeRecognitionResult: any = barcodeRecognitionResults[i];
      
                // output information about recognized barcode
                htmlMarkup += '[' + (i + 1) + ':' + barcodeRecognitionResult.barcodeType + ']<br />';
                htmlMarkup += '  Value: ' + barcodeRecognitionResult.value + '<br />';
                htmlMarkup += '  Confidence: ' + barcodeRecognitionResult.confidence + '<br />';
                htmlMarkup += '  Reading quality: ' + barcodeRecognitionResult.readingQuality.toFixed(2) + '<br />';
                htmlMarkup += '  Threshold: ' + barcodeRecognitionResult.threshold + '<br />';
                htmlMarkup += '  Region: ' +
                  'LT=(' + barcodeRecognitionResult.region.leftTop.x + ',' + barcodeRecognitionResult.region.leftTop.y + '); ' +
                  'RT=(' + barcodeRecognitionResult.region.rightTop.x + ',' + barcodeRecognitionResult.region.rightTop.y + '); ' +
                  'LB=(' + barcodeRecognitionResult.region.leftBottom.x + ',' + barcodeRecognitionResult.region.leftBottom.y + '); ' +
                  'RB=(' + barcodeRecognitionResult.region.rightBottom.x + ',' + barcodeRecognitionResult.region.rightBottom.y + '); ' +
                  'Angle=' + barcodeRecognitionResult.region.angle.toFixed(1) + '°<br />';
      
                htmlMarkup += '<br />';
              }
            }
      
            let barcodeInformationElement: HTMLDivElement = document.getElementById("barcodeInformation") as HTMLDivElement;
            barcodeInformationElement.innerHTML = htmlMarkup;
          }
        }
      
        /**
         * Barcode recognition is failed.
         * @param {object} data Object with information about error.
         */
        private __readBarcodes_fail(data: any) {
          // show information about error
          alert(data.errorMessage);
        }
      
        title = 'angularapp1.client';
      }
      
      



    • Delete file "src\app\app.component.spec.ts" in "angularapp1.client" project - file is not necessary.

    • Open "src\proxy.conf.js" file in "angularapp1.client" project and specify that Angular aplication can have access to the ASP.NET Core Web API controller "/vintasoft/api/MyVintasoftBarcodeApi/" in "AngularApp1.Server" project:
      const { env } = require('process');
      
      const target = env.ASPNETCORE_HTTPS_PORT ? `https://localhost:${env.ASPNETCORE_HTTPS_PORT}` :
        env.ASPNETCORE_URLS ? env.ASPNETCORE_URLS.split(';')[0] : 'https://localhost:7200';
      
      const PROXY_CONFIG = [
        {
          context: [
            "/vintasoft/api/"
          ],
          target,
          secure: false
        }
      ]
      
      module.exports = PROXY_CONFIG;
      
      

  10. Run the "Angular and ASP.NET Core application" and see the result.