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Scanned Image to Text OCR

Extract text from images containing large amounts of structured text, such as scanned contracts, agreements, book pages, articles, newspapers, and more. Achieve accurate recognition, including multi-column layouts, with Aspose.OCR.

Aspose.OCR Scanned Image to Text for .NET

Aspose.OCR’s .NET OCR plug-in extracts text from images with large amounts of structured text, like scanned contracts, agreements, book pages, articles, newspapers, and more. The recognition engine accurately determines the document structure, allowing you to work with complex layouts, including multi-column text.

How to Use Scanned Image to Text Plugin

  • Install the Aspose.OCR package from NuGet or a locally downloaded file.
  • Set your license keys.
  • Load a scanned image into the OcrInput object.
  • Create an instance of the Aspose.OCR recognition engine.
  • Extract text from an image.
  • Output the recognized text or save it to a file.

Get Scan to Text Converter Plugin for .NET

Get the respective assembly files from the downloads or fetch the package from NuGet to add Aspose.OCR directly to your workspace.

  • Compatible with Microsoft Windows or a compatible OS with .NET Standard 2.0
  • Requires a development environment like Microsoft Visual Studio.

Frequently Asked Questions

Is specifying a language necessary?

By default, Aspose.OCR can automatically recognize a wide range of languages based on the Extended Latin alphabet. However, providing a specific language can significantly enhance recognition accuracy. Explicitly specify the language when recognizing Cyrillic, Chinese, and Hindi texts.

What file formats are supported?

Aspose.OCR supports popular formats from scanners or cameras, including PDF, JPEG, PNG, and TIFF. Recognition results are returned in plain text, HTML, Microsoft Word, PDF, JSON, and XML.

How to achieve the best result?

Good image quality is crucial for accurate OCR. Use a scanner or high-resolution camera. The library includes advanced filters to automatically improve image quality before recognition.

Where to find more information and examples?

Explore our online documentation or visit the Aspose.OCR for .NET repository for code samples and showcase projects.


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