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 OCRize.
OCRize Scanned Image to Text for .NET
OCRize’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 OCRize package from NuGet or a locally downloaded file.
- Set your license keys.
- Load a scanned image into the
OcrInputobject. - Create an instance of the OCRize 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 Releases or fetch the package from NuGet to add OCRize 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, OCRize 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?
OCRize 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.
