CubeOCR project is a Python-based screenshot OCR tool designed to convert scanned documents, PDF files, or images, into editable text.

• User-Friendly Interface: Simple and intuitive interface for easy use.
• Text Editor with Built-in Toolbar: Capable of processing editable text, saving time and effort.
• Transparent Background: Suitable for side-by-side paragraphs and code editing.
• Advanced Image Processing: Enhance image quality with noise filtering features.
• Multi-Language Support: Supports text recognition 107 different languages.
• Output Formats: Supports various output formats: plain text, PDF, and Word documents.
• Offline Usage: No account sign-in required for user data privacy.
• Hotkeys: Activate OCR screen, easily copy and paste to other applications.

Prerequisites:

• Operating System: Windows 10 or newer.
• Tesseract-OCR >= 5.0 [download]
• Python >= 3.11

To install and run this project:

1. Clone the repository:

   git clone https://github.com/OCR-tech/CubeOCR.git

2. Navigate to the project directory:

   cd CubeOCR

3. Create a virtual environment:

   python -m venv .venv

4. Activate the virtual environment:

   .\.venv\Scripts\Activate

5. Install the dependencies:

   pip install -r requirements.txt

6. Run the application:

   python app/main.py

CubeOCR is an easy-to-use OCR tool designed to extract text from scanned documents, PDF files, or images. Simply select a text area, perform OCR, and be ready to paste anywhere.

1. Select a text area on the screen.
2. Click the "OK" button after the OCR conversion.
3. Paste the editable text to other applications.
4. Use the built-in text editor to edit the recognized text.
5. Use the system tray icon for quick access to the application.

Note: CubeOCR is available for installation on Windows [download].

• See the CONTRIBUTING for detailed guidelines.

• This project is licensed under the MIT License.
• This project depends on other software and packages:
  • Tesseract-OCR uses the Apache License.
  • Leptonica library uses the BSD 2-clause License.

• Email: ocrtech.mail@gmail.com
• Website: https://ocr-tech.github.io
• GitHub: https://github.com/OCR-tech