Scanned PDF to Text OCR
Extract text from scanned PDFs or convert them into searchable documents. Read any layout and style, accurately define the structure of text and tables. Preserve original images in the background for content retention. OCRize - Your PDF text extraction solution for .NET.
OCRize Scanned PDF to Text for .NET
OCRize’s .NET OCR plug-in extracts text from scanned PDFs or converts them into searchable documents, preserving original images. Advanced algorithms accurately identify text and table structures, making it your go-to solution for PDF text extraction.
How to Use Scanned PDF 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 a scanned PDF.
- Output the recognized text or save it to a file.
Get Scanned PDF to Text Converter Plugin
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.
