OCR, Offline OCR,Image To Text

Description

Overview

This application, "OCR, Offline OCR, Image To Text," offers offline Optical Character Recognition (OCR) capabilities. OCR technology allows you to convert images containing text into editable and searchable digital text. This tool is particularly useful for extracting information from documents, images, or any visual content containing text.

Key Features

• Text Extraction: The app takes an image and converts it into digitized text.
• Text Editing: Once the text is extracted, you can edit it within the application.
• Clipboard Integration: You can easily copy the extracted text and paste it into other applications such as email or SMS, or directly into any document editor.

Supported Languages

The app supports a wide range of languages including:

• Latin-based languages
• Arabic
• Hindi
• Urdu
• Chinese
• Japanese
• Hebrew

Best Practices

For optimal results, keep the following tips in mind:

• Take sharp images with good lighting and ensure they are large enough.
• Cropping the image to focus on specific areas can significantly improve the OCR process.
• Note that handwritten text is currently not supported by the app.

Permissions

The application requires minimal permissions:

• Camera permission to capture images.
• Storage permission to save and access images locally.

Free vs. Pro Version

The key differences between the free and pro versions include:

• Free Version:
  • No ads.
  • Does not require internet access.
  • Offers basic performance.
• Pro Version:
  • Enhanced performance for faster startup.
  • Improved accuracy and additional features.

Feedback and Support

We value your feedback and suggestions. Please send them via email at lXVll.feedback@gmail.com. Your input helps us continuously improve the application.

This description provides a more detailed and structured overview of the application's features, supported languages, best practices, permissions, and differences between the free and pro versions. It also includes a section for user feedback and support.