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OCRize Image Text Finder

Search for text within images with this .NET OCR plug-in. Effortlessly identify differences in image texts, regardless of styles, resolution, font, format, or other factors.

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OCRize Image Text Finder for .NET

Search for text within images with the OCRize Image Text Finder, a powerful .NET OCR plug-in. Identify differences in image texts, regardless of styles, resolution, font, format, or other factors. Perform regular expression searches, case-insensitive searches, and comparisons with a single line of code. Ideal for detecting PII in digital archives, analyzing contracts, classifying large amounts of non-textual data, and streamlining business processes.

How to Use Image Text Finder Plugin

  • Install the OCRize package from NuGet or download the distributive.
  • Set your license keys
  • Provide one or more images.
  • Specify the string or regular expression to search for.
  • Iterate through images and search for text. Also, compare two images to get the similarity of their texts.

Get Image Text Finder Converter 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 it necessary to specify a language?

By default, our library 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?

You can use any popular format from a scanner or camera, including PDF, JPEG, PNG, and TIFF, including multi-page documents. Recognition results are returned in plain text, HTML, Microsoft Word, PDF, JSON, and XML.

How to get the best result?

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

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