Aspose.OCR 23.8.1

There is a newer version of this package available.
See the version list below for details.
dotnet add package Aspose.OCR --version 23.8.1                
NuGet\Install-Package Aspose.OCR -Version 23.8.1                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Aspose.OCR" Version="23.8.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Aspose.OCR --version 23.8.1                
#r "nuget: Aspose.OCR, 23.8.1"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Aspose.OCR as a Cake Addin
#addin nuget:?package=Aspose.OCR&version=23.8.1

// Install Aspose.OCR as a Cake Tool
#tool nuget:?package=Aspose.OCR&version=23.8.1                

Optical character recognition (OCR) API for .NET

Version 23.8.1 Downloads

[banner] (https://releases.aspose.com/ocr/net/)

Product Page | Docs | Demos | API Reference | Examples | Blog | Search | Free Support | Temporary License

This package can be used to develop applications for on-premise operating systems and cloud platforms. You can build both 32-bit and 64-bit software, including ASP.NET, WCF, and WinForms.

Please note: our library implies the use of .NET programming languages, compatible with CLI infrastructure. If you require a corresponding native library for C++, you can download it from here.

API overview

Aspose.OCR for .NET can extract text from photos, scans, PDF documents and other graphical files. It allows you to add OCR functionality to a desktop or web application in less than 10 lines of code, without having to delve into complex mathematical operations, neural networks, and other technical details.

  • Ready-to-use OCR engine with superior recognition speed and accuracy.
  • Supports 27 languages based on Latin, Cyrillic and Asian scrips.
  • Can work with rotated, distorted and noisy images.
  • Supports most file formats you can get from a scanner or camera, as well as web links.
  • Batch recognition of all images in a folder or archive.
  • Recognizes the whole image or selected areas only; identifies words, lines or paragraphs.
  • Recognition results are returned in the most popular document and data exchange formats.
  • Spell checking of recognition results.
  • Full compatibility with other Aspose products - build solutions of any complexity using familiar concepts with minimal code.

Recognition languages

Aspose.OCR can recognize a large number of languages and all popular writing scripts, including texts with mixed languages.

Extended Latin alphabet

  • Croatian
  • Czech
  • Danish
  • Dutch
  • English
  • Estonian
  • Finnish
  • French
  • German
  • Italian
  • Latvian
  • Lithuanian
  • Norwegian
  • Polish
  • Portuguese
  • Romanian
  • Slovak
  • Slovenian
  • Spanish
  • Swedish

Cyrillic alphabet

  • Belorussian
  • Bulgarian
  • Kazakh
  • Russian
  • Serbian
  • Ukrainian

Asian languages

  • Chinese
  • Hindi

Supported file formats

Aspose.OCR for .NET can recognize just about any file that you get from a scanner or camera, or download from the Internet:

  • PDF
  • JPEG
  • PNG
  • TIFF
  • GIF
  • BMP
  • DjVu

Recognition results are returned in the most popular document and data exchange formats:

  • Plain text
  • HTML
  • RTF
  • Microsoft Word document
  • Microsoft Excel spreadsheet
  • Searchable PDF
  • EPUB
  • JSON
  • XML

Get started

You can get familiar with Aspose.OCR for .NET by creating a minimal console application for extracting text from an image.

  1. Create a new C# project in Visual Studio. You can use a very basic project template, such as Console App.
  2. Install this NuGet package to the project.
  3. Locate some image containing a line of text and save it to bin\Debug or bin\Debug\net6.0 directory of the project under the name source.png.
  4. Create an instance of Aspose.OCR recognition engine in your Main method:
    Aspose.OCR.AsposeOcr recognitionEngine = new Aspose.OCR.AsposeOcr();
    
  5. Add an image to OcrInput object:
    OcrInput input = new OcrInput(InputType.PNG);
    input.Add("source.png");
    
  6. Extract text from the image:
    List<Aspose.OCR.RecognitionResult> results = recognitionEngine.Recognize(input, recognitionSettings);
    
  7. Output the recognized text:
    Console.WriteLine(results[0].RecognitionText);
    

Full code:

Aspose.OCR.AsposeOcr recognitionEngine = new Aspose.OCR.AsposeOcr();
OcrInput input = new OcrInput(InputType.PNG);
input.Add("source.png");
List<Aspose.OCR.RecognitionResult> results = recognitionEngine.Recognize(input, recognitionSettings);
Console.WriteLine(results[0].RecognitionText);

Run the program. You will see the extracted text in the console output. If the text is too large, the result may be cut off due to trial restrictions. You can get a temporary license to remove all limitations of the trial version for 30 days.

Learn more

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (3)

Showing the top 3 NuGet packages that depend on Aspose.OCR:

Package Downloads
Aspose.Total

Aspose.Total for .NET is the most complete package of all .NET file format APIs offered by Aspose. It empowers developers to create, edit, render, print and convert between a wide range of popular document formats within any .NET, C#, ASP.NET and VB.NET applications.

NovaQual.DocumentConversionLib

This contains all the document conversions functionality e.g word to pdf, exce to pdf etc

Manager_Financial

Manage account between friends

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
24.12.0 105 12/5/2024
24.11.1 1,995 11/21/2024
24.11.0 1,571 11/6/2024
24.10.0 7,555 10/21/2024
24.9.0 7,443 9/28/2024
24.8.1 13,090 8/24/2024
24.8.0 4,266 8/5/2024
24.7.0 9,713 7/17/2024
24.6.0 11,062 6/14/2024
24.5.0 7,107 5/29/2024
24.4.2 5,746 5/1/2024
24.4.1 7,682 4/23/2024
24.4.0 1,696 4/15/2024
24.3.1 9,269 3/21/2024
24.3.0 9,405 3/15/2024
24.2.0 15,218 2/27/2024
24.1.0 32,738 1/18/2024
23.12.1 24,654 12/21/2023
23.12.0 8,014 12/4/2023
23.10.1 37,718 10/24/2023
23.10.0 10,563 10/10/2023
23.9.0 30,050 9/14/2023
23.8.1 30,422 8/31/2023
23.7.1 26,367 7/25/2023
23.7.0 12,313 7/11/2023
23.6.0 43,817 6/20/2023
23.5.0 21,421 5/19/2023
23.4.0 20,395 4/25/2023
23.3.1 42,418 3/23/2023
23.2.1 54,068 2/27/2023
23.2.0 10,912 2/13/2023
23.1.0 49,616 1/11/2023
22.12.0 26,332 12/14/2022
22.11.1 11,424 11/30/2022
22.11.0 22,036 11/14/2022
22.10.0 9,329 10/31/2022
22.9.0 33,353 9/28/2022
22.8.0 42,591 8/26/2022
22.7.0 20,468 7/22/2022
22.6.0 14,203 7/1/2022
22.5.0 32,683 5/22/2022
22.4.0 24,725 4/20/2022
22.3.0 26,237 3/28/2022
22.2.0 21,877 2/21/2022
22.1.0 28,494 1/27/2022
21.12.0 19,148 12/24/2021
21.11.0 30,432 11/18/2021
21.10.0 18,276 10/19/2021
21.9.0 36,350 9/21/2021
21.8.0 10,383 9/1/2021
21.7.0 53,559 7/29/2021
21.6.1 15,863 7/7/2021
21.6.0 23,153 6/30/2021
21.5.0 27,253 5/26/2021
21.4.0 65,238 4/29/2021
21.3.0 31,889 3/29/2021
21.2.0 19,262 2/25/2021
21.1.2 8,746 2/2/2021
20.12.1 7,042 2/2/2021
20.11.0 19,798 11/26/2020
20.10.0 16,151 10/27/2020
20.9.0 10,200 9/25/2020
20.8.0 12,819 8/27/2020
20.7.0 9,328 8/5/2020
20.6.1 6,640 8/5/2020
20.4.3 7,096 8/6/2020
19.9.3 10,362 2/5/2020
19.9.2 3,487 2/5/2020
19.9.1 11,590 11/20/2019
19.9.0 20,269 10/2/2019
19.8.1 5,437 9/2/2019
19.8.0 4,574 8/28/2019
17.11.0 22,210 11/15/2017
17.6.0 15,708 6/22/2017
17.3.0 4,152 3/17/2017
17.2.0 3,003 2/16/2017
17.1.0 3,756 1/14/2017
16.12.0 4,245 12/17/2016
16.11.0 2,958 11/11/2016
16.10.0 4,518 10/10/2016
3.7.0 2,989 9/2/2016
3.6.0 8,500 6/15/2016
3.5.0 3,473 4/12/2016
3.4.0 3,307 3/2/2016
3.3.0 3,887 2/1/2016
3.2.0 2,789 12/30/2015
3.1.0 3,492 11/23/2015
3.0.0 4,923 10/15/2015
2.9.0 3,289 9/7/2015
2.8.0 19,556 8/5/2015
2.7.0 7,422 6/26/2015
2.6.0 3,127 5/30/2015
2.5.0 3,201 4/30/2015
2.4.0 3,054 3/30/2015
2.3.0 3,487 2/26/2015
2.2.0 3,576 12/31/2014
2.1.0 2,856 10/21/2014
2.0.0 3,486 6/23/2014
1.9.0 2,930 4/3/2014
1.8.0 3,221 11/20/2013
1.6.0 14,247 7/22/2013
1.5.0 2,825 4/4/2013
1.4.0 2,625 12/27/2012
1.3.0 2,755 11/14/2012
1.2.0 2,733 10/19/2012
1.1.0.1 2,875 2/16/2012
1.1.0 2,740 1/24/2012