Aspose.OCR 24.6.0

dotnet add package Aspose.OCR --version 24.6.0
NuGet\Install-Package Aspose.OCR -Version 24.6.0
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="24.6.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Aspose.OCR --version 24.6.0
#r "nuget: Aspose.OCR, 24.6.0"
#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=24.6.0

// Install Aspose.OCR as a Cake Tool
#tool nuget:?package=Aspose.OCR&version=24.6.0

Optical character recognition (OCR) API for .NET

Version 24.6.0 Downloads

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

Integrate optical character recognition (OCR) seamlessly into your .NET desktop applications, web sites, cloud services, and serverless Azure functions. With just a few lines of native C# code, you will effortlessly extract text from scans, photos, and screenshots. The library can also convert scanned pages into searchable and indexable PDFs, and find and compare text within images.

What is OCR?

OCR stands for Optical Character Recognition. This technology enables extracting machine-readable text from images, scanned documents, or other types of media that contain text. OCR processes the image or document, identifies characters, and converts them into text that can be edited, searched, or analyzed electronically. OCR is commonly used in various applications such as document management, data entry automation, text extraction from images, and accessibility tools for visually impaired individuals.

Key features

  • Global applications - supporting over 130 languages, our library allows you to recognize texts in Latin, Cyrillic, Arabic, Hindi, Chinese and other scrips.
  • Read everything - retrieve text from any file obtained through a scanner or camera, and process images directly from web links.
  • Reliable results - achieve the highest recognition accuracy for all images, including those that are out-of-focus, rotated, distorted, and noisy.
  • Batch processing - bulk-recognize all images from folders and archives; read multi-page PDF documents, TIFF images and DjVu files.
  • Layout detection - identify and categorize content blocks in images to ensure the correct order of extracted text, regardless of layout.
  • Suitable for any content - image preprocessing and customizable document structure detection enable text extraction from virtually any image, ranging from high-quality scans to street photos.
  • Optimized - the library balances recognition speed, quality, and resource utilization for each specific use case.
  • Easy to use - you only need a few lines of code to convert image to text, create a searchable PDF, save recognition results to document, and many more.
  • Modular - keep your application lean and modular by selectively adding advanced features from our resource repository.
  • Tesseract alternative - Aspose.OCR excels in recognizing complex cases where Tesseract might struggle to achieve sufficient accuracy or even fail entirely.

Supported file formats

Aspose.OCR can work with virtually any file you can get from a scanner or camera:

  • JPEG, PNG, BMP and GIF images
  • Single-page and multi-page TIFF
  • PDF documents
  • DjVu files

You can also use Aspose.OCR to perform bulk recognition on images within folders and archives, as well as process images directly from URLs without the need to download them locally.

Recognition results are returned in the most popular file and data exchange formats that can be saved, imported to a database, or analyzed in real time:

  • Plain text
  • Searchable PDF
  • Microsoft Office document
  • HTML
  • RTF
  • ePUB
  • Data exchange formats: JSON and XML

Easy to use

The library is very developer-friendly. You only need a few lines of code to convert image to text, create a searchable PDF, save recognition results to document, and many more.

  1. Create an instance of Aspose.OCR recognition engine:
    Aspose.OCR.AsposeOcr recognitionEngine = new Aspose.OCR.AsposeOcr();
    
  2. Add one or more images to the recognition batch:
    Aspose.OCR.OcrInput source = new Aspose.OCR.OcrInput(Aspose.OCR.InputType.SingleImage);
    source.Add("source.png");
    
  3. Convert image to text:
    List<Aspose.OCR.RecognitionResult> results = recognitionEngine.Recognize(source);
    
  4. Output the recognized text:
    Console.WriteLine(results[0].RecognitionText);
    

That's all! Copy and paste the full code to try it yourself:

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

You can also download the examples to try the advanced library capabilities or visit the product page for live code sample.

Licensing

You can start using Aspose.OCR library right after the installation. In trial mode (without providing a license) you can recognize texts in any supported languages and save recognition results in any of the supported formats with some restrictions:

  • If the number of characters in a recognized image exceeds 300, only the first 300 characters are recognized.
  • If the number of characters in a recognized image is less than 300, the first 60% of characters are recognized.

A temporary license removes all limitations of the trial version for 30 days. Use it to start building a fully functional OCR application and make the final decision to purchase Aspose.OCR later.

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
24.6.0 305 6/14/2024
24.5.0 2,155 5/29/2024
24.4.2 4,194 5/1/2024
24.4.1 3,790 4/23/2024
24.4.0 1,330 4/15/2024
24.3.1 6,830 3/21/2024
24.3.0 5,116 3/15/2024
24.2.0 7,825 2/27/2024
24.1.0 15,073 1/18/2024
23.12.1 14,735 12/21/2023
23.12.0 7,217 12/4/2023
23.10.1 26,527 10/24/2023
23.10.0 8,794 10/10/2023
23.9.0 22,234 9/14/2023
23.8.1 24,486 8/31/2023
23.7.1 21,203 7/25/2023
23.7.0 11,943 7/11/2023
23.6.0 31,146 6/20/2023
23.5.0 16,369 5/19/2023
23.4.0 16,426 4/25/2023
23.3.1 33,636 3/23/2023
23.2.1 49,580 2/27/2023
23.2.0 10,625 2/13/2023
23.1.0 34,952 1/11/2023
22.12.0 21,415 12/14/2022
22.11.1 11,125 11/30/2022
22.11.0 18,837 11/14/2022
22.10.0 7,580 10/31/2022
22.9.0 27,895 9/28/2022
22.8.0 32,488 8/26/2022
22.7.0 18,945 7/22/2022
22.6.0 11,932 7/1/2022
22.5.0 29,279 5/22/2022
22.4.0 19,246 4/20/2022
22.3.0 22,885 3/28/2022
22.2.0 20,087 2/21/2022
22.1.0 25,717 1/27/2022
21.12.0 18,591 12/24/2021
21.11.0 26,858 11/18/2021
21.10.0 15,395 10/19/2021
21.9.0 33,907 9/21/2021
21.8.0 9,838 9/1/2021
21.7.0 45,904 7/29/2021
21.6.1 15,600 7/7/2021
21.6.0 20,404 6/30/2021
21.5.0 22,768 5/26/2021
21.4.0 64,911 4/29/2021
21.3.0 28,638 3/29/2021
21.2.0 17,357 2/25/2021
21.1.2 8,511 2/2/2021
20.12.1 6,598 2/2/2021
20.11.0 17,591 11/26/2020
20.10.0 13,958 10/27/2020
20.9.0 9,742 9/25/2020
20.8.0 12,603 8/27/2020
20.7.0 9,073 8/5/2020
20.6.1 6,463 8/5/2020
20.4.3 6,735 8/6/2020
19.9.3 9,674 2/5/2020
19.9.2 3,363 2/5/2020
19.9.1 10,779 11/20/2019
19.9.0 17,900 10/2/2019
19.8.1 5,333 9/2/2019
19.8.0 4,360 8/28/2019
17.11.0 19,099 11/15/2017
17.6.0 14,983 6/22/2017
17.3.0 4,049 3/17/2017
17.2.0 2,941 2/16/2017
17.1.0 3,692 1/14/2017
16.12.0 4,000 12/17/2016
16.11.0 2,902 11/11/2016
16.10.0 4,425 10/10/2016
3.7.0 2,905 9/2/2016
3.6.0 8,417 6/15/2016
3.5.0 3,400 4/12/2016
3.4.0 3,236 3/2/2016
3.3.0 3,797 2/1/2016
3.2.0 2,722 12/30/2015
3.1.0 3,438 11/23/2015
3.0.0 4,859 10/15/2015
2.9.0 3,196 9/7/2015
2.8.0 19,409 8/5/2015
2.7.0 7,352 6/26/2015
2.6.0 3,076 5/30/2015
2.5.0 3,130 4/30/2015
2.4.0 3,004 3/30/2015
2.3.0 3,425 2/26/2015
2.2.0 3,499 12/31/2014
2.1.0 2,813 10/21/2014
2.0.0 3,417 6/23/2014
1.9.0 2,888 4/3/2014
1.8.0 3,177 11/20/2013
1.6.0 13,100 7/22/2013
1.5.0 2,780 4/4/2013
1.4.0 2,580 12/27/2012
1.3.0 2,713 11/14/2012
1.2.0 2,685 10/19/2012
1.1.0.1 2,827 2/16/2012
1.1.0 2,665 1/24/2012